{"title":"NVIDIA Jetson | Official Page","description":"\u003cp\u003eNVIDIA Jetson is a cutting-edge edge AI computing platform designed to power the next generation of intelligent machines. Built by NVIDIA, Jetson offers high-performance, energy-efficient modules tailored for robotics, computer vision, autonomous systems, and AIoT applications. From rapid prototyping to full-scale deployment, Jetson provides the tools and performance developers need to bring advanced AI to the edge.\u003c\/p\u003e\n\u003cp\u003eThe Jetson family includes powerful modules such as Jetson Nano, Xavier NX, Orin NX, and Orin AGX, each delivering GPU-accelerated computing with support for deep learning, computer vision, and real-time data processing. Paired with the NVIDIA JetPack SDK, these modules offer a seamless development environment with access to the latest AI frameworks and libraries.\u003c\/p\u003e\n\u003cp\u003eRenowned for their reliability, scalability, and ease of integration, NVIDIA Jetson platforms are trusted by developers, researchers, and enterprises worldwide to build smart, autonomous systems.\u003c\/p\u003e\n\u003cp\u003eThinkRobotics is an official and leading distributor of NVIDIA Jetson products, offering the full range of genuine modules, developer kits, and accessories with expert support and fast, reliable delivery.\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(252, 66, 66);\"\u003eThis is the official NVIDIA Jetson collection page on ThinkRobotics.\u003c\/span\u003e\u003c\/p\u003e","products":[{"product_id":"nvidia-jetson-nano-module-online","title":"Módulo NVIDIA Jetson Nano","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eLa potencia de la IA moderna ya está disponible para fabricantes, estudiantes y desarrolladores de sistemas embebidos de todo el mundo.\u003c\/span\u003e Jetson Nano es una computadora pequeña y potente para aplicaciones embebidas e IoT con IA que ofrece la potencia de la IA moderna en un módulo.\u003c\/p\u003e\n\u003cp\u003eComience rápidamente con el completo\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eSDK JetPack\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003econ bibliotecas aceleradas para aprendizaje profundo, visión artificial, gráficos, multimedia y más. Jetson Nano cuenta con el rendimiento y las capacidades que necesita para ejecutar cargas de trabajo de IA modernas, brindándole una forma rápida y sencilla de añadir IA avanzada a su próximo producto. Para comenzar con su proceso de desarrollo, consulte el\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eKit de desarrollo Jetson Nano\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eJetson Nano tiene el rendimiento y las capacidades necesarias para ejecutar cargas de trabajo de IA modernas rápidamente, lo que permite añadir IA avanzada a cualquier producto. Jetson Nano lleva la IA a un mundo de nuevas aplicaciones embebidas y de IoT, incluidos grabadores de vídeo en red (NVR) de nivel básico, robots domésticos y puertas de enlace inteligentes con capacidades de análisis completas.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eComience hoy mismo con el kit Jetson Nano. \u003c\/strong\u003e\u003cstrong\u003eTodos los kits Jetson se envían GRATIS con Bluedart (aplicable solo a zonas de servicio de Bluedart).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eEspecificaciones\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eEspecificaciones técnicas del módulo\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eGPU\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eArquitectura NVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e con 128 núcleos NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCPU\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eProcesador de cuatro núcleos ARM\u003csup\u003e®\u003c\/sup\u003e Cortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMemoria\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 GB LPDDR4 de 64 bits\u003cbr\u003e1600MHz - 25.6 GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eAlmacenamiento\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eFlash eMMC 5.1 de 16 GB\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCodificación de vídeo\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eDecodificación de vídeo\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCámara\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 carriles (3x4 o 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 98px;\"\u003eConectividad\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eEl Wi-Fi requiere un chip externo\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eEthernet 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003ePantalla\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eHDMI 2.0 o DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultáneas\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eUPHY\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eE\/S\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eTamaño\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 mm x 45 mm\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMecánico\u003c\/td\u003e\n\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eConector de borde de 260 pines\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39512343609430,"sku":"SBC1101-MOD","price":23899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-nano-module-standing-2c50-d.jpg?v=1629456435"},{"product_id":"nvidia-jetson-xavier-nx-som","title":"Módulo Nvidia Jetson Xavier NX SOM","description":"\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eRENDIMIENTO COMPACTO Y POTENTE EN EL LÍMITE (EDGE)\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eLa supercomputadora de IA más pequeña del mundo para sistemas integrados y de borde. Ahora con soporte nativo para la nube.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eNVIDIA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eJetson Xavier\u003csup data-mce-fragment=\"1\"\u003e™\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eNX lleva el rendimiento de una supercomputadora al límite (edge) en un sistema en módulo (SOM) de pequeño formato. Hasta 21 TOPS de computación acelerada proporcionan la potencia necesaria para ejecutar redes neuronales modernas en paralelo y procesar datos de múltiples sensores de alta resolución, un requisito para los sistemas de IA completos.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX ahora cuenta con soporte nativo para la nube que permite a los desarrolladores crear e implementar funciones de alta calidad definidas por software en dispositivos integrados y de borde. Los modelos de IA preentrenados de\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\"\u003eNVIDIA NGC\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003ey el\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\" target=\"_blank\" data-mce-href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\"\u003eNVIDIA Transfer Learning Toolkit\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003ele brindan un camino más rápido hacia redes de IA entrenadas y optimizadas, mientras que la implementación en contenedores en los dispositivos Jetson permite actualizaciones flexibles y sin interrupciones. Jetson Xavier NX acelera la pila de software de NVIDIA con más de 10 veces el rendimiento de su predecesor ampliamente adoptado, Jetson TX2.\u003c\/p\u003e\n\u003cp\u003eMás pequeño que una tarjeta de crédito (70x45 mm), el módulo de bajo consumo Jetson Xavier NX ofrece un rendimiento de clase servidor: 21 TOPS (a 15 W) o hasta 14 TOPS (a 10 W). Puede ejecutar múltiples redes neuronales modernas en paralelo y procesar datos de múltiples sensores de alta resolución, un requisito para los sistemas de IA completos. El soporte nativo para la nube disponible hace que sea más fácil que nunca desarrollar e implementar software de IA en dispositivos de borde.\u003c\/p\u003e\n\u003cp\u003eJetson Xavier NX está listo para la producción y es compatible con todos los marcos de trabajo de IA populares. Esto abre la puerta a dispositivos de computación de borde integrados que requieren un mayor rendimiento para soportar cargas de trabajo de IA, pero que están limitados por el tamaño, el peso, el presupuesto de energía o el costo.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eCaracterísticas\u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eTamaño:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eRENDIMIENTO XAVIER. TAMAÑO NANO.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eCon 70 mm x 45 mm, Jetson Xavier NX concentra la potencia de un SoC NVIDIA Xavier en un módulo del tamaño de una\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\"\u003eJetson Nano\u003c\/a\u003e. Este pequeño módulo combina un rendimiento excepcional y ventajas energéticas con un rico conjunto de entradas\/salidas (IO), desde CSI y PCIe de alta velocidad hasta I2C y GPIO de baja velocidad. Aproveche el factor de forma pequeño, las interfaces ricas en sensores y el gran rendimiento para aportar nuevas capacidades a todos sus sistemas de IA integrados y de borde.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eRendimiento: \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePOTENTE RENDIMIENTO DE IA DE 21 TOPS\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX ofrece hasta 21 TOPS, lo que lo hace ideal para computación de alto rendimiento e IA en sistemas integrados y de borde. Obtiene el rendimiento de 384 núcleos NVIDIA CUDA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e, 48 núcleos Tensor, 6 CPU ARM Carmel y dos motores NVIDIA Deep Learning Accelerators (NVDLA). Combinadas con más de 51 GB\/s de ancho de banda de memoria, codificación y decodificación de video, estas características convierten a Jetson Xavier NX en la plataforma elegida para ejecutar múltiples redes neuronales modernas en paralelo y procesar datos de alta resolución de múltiples sensores simultáneamente.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eEnergía:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eINCREÍBLE EFICIENCIA ENERGÉTICA\u003c\/p\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"description color-black  body-text\"\u003e\n\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX admite múltiples modos de energía, incluidos modos de bajo consumo para sistemas que funcionan con batería, y ofrece hasta 14 TOPS para aplicaciones de IA con tan solo 10 W. Esto deja más presupuesto de energía para sensores y periféricos, mientras le permite seguir utilizando toda la pila de software de NVIDIA. Ahora tiene el rendimiento para ejecutar todas las redes y marcos de trabajo de IA modernos con bibliotecas aceleradas para aprendizaje profundo, visión artificial, gráficos por computadora, multimedia y más.\u003c\/p\u003e\n\n\u003ch5 data-mce-fragment=\"1\"\u003eEspecificaciones\u003c\/h5\u003e\n\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eRendimiento de IA\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eGPU NVIDIA Volta\u003csup\u003e™\u003c\/sup\u003e de 384 núcleos con 48 núcleos Tensor\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eCPU ARM\u003csup\u003e®\u003c\/sup\u003ev8.2 de 64 bits NVIDIA Carmel de 6 núcleos\u003cbr\u003e6MB L2 + 4MB L3\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eMemoria\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e8 GB LPDDR4x de 128 bits\u003cbr\u003e51.2GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eAlmacenamiento\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eEnergía\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10 W|15 W\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT\/s*\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eCámara CSI\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eHasta 6 cámaras (24 mediante canales virtuales)\u003cbr\u003e14 carriles (3x4 o 6x2) MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (hasta 30 Gbps)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eCodificación de video\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 y H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eDecodificación de video\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)\u003cbr\u003e2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003ePantalla\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2 multimodo DP 1.4\/eDP 1.4\/HDMI 2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eAcelerador DL\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2 motores NVDLA\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eAcelerador de visión\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eProcesador de visión VLIW de 7 vías\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eRedes\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eEthernet 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"tableCLdata\"\u003eMecánico\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003eConector SO-DIMM de 260 pines\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB","offer_id":39799560142934,"sku":"SBC1102-MOD8","price":71999.99,"currency_code":"INR","in_stock":false},{"title":"16GB","offer_id":39799560175702,"sku":"SBC1102-MOD16","price":91999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1.png?v=1629459334"},{"product_id":"nvidia-jetson-tx2-nx-online","title":"NVIDIA Jetson TX2 NX","description":"\u003cp\u003eLos módulos de la serie NVIDIA® Jetson™ TX2 le brindan una velocidad y eficiencia energética excepcionales en un dispositivo de computación de IA integrado. Cada supercomputadora en módulo lleva la verdadera computación de IA al borde con una GPU NVIDIA Pascal™, hasta 8 GB de memoria y 59.7 GB\/s de ancho de banda de memoria, y una amplia gama de interfaces de hardware estándar.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNVIDIA Jetson TX2 NX ofrece el siguiente paso en rendimiento de IA para productos integrados y de borde de nivel de entrada. Es compacto, energéticamente eficiente e ideal para su próxima solución de IA, desde la fabricación y el comercio minorista hasta la agricultura y las ciencias biológicas. Los modelos de IA preentrenados, el Transfer Learning Toolkit y el SDK NVIDIA JetPack\u003c\/span\u003e\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e lo ayudan a llevar su mejor producto al mercado rápidamente.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5\u003eCaracterísticas\u003c\/h5\u003e\n\u003cp\u003eTamaño\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMINIMICE SU ESPACIO\u003c\/strong\u003e\u003cbr\u003eAhora puede obtener una capacidad de cómputo, precisión y eficiencia energética excepcionalmente altas en un módulo del tamaño de una tarjeta de crédito. Su pequeño tamaño de 50 mm x 87 mm permite aplicaciones reales de aprendizaje profundo en productos de factor de forma pequeño como drones y más.\u003c\/p\u003e\n\u003cp\u003eRendimiento\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMAXIMICE SU RENDIMIENTO\u003c\/strong\u003e\u003cbr\u003eExperimente más del doble del rendimiento o el doble de la eficiencia energética de Jetson TX1. Todo esto es posible gracias a la arquitectura NVIDIA Pascal de 256 núcleos y 8 GB de memoria de Jetson TX2 para la computación e inferencia más rápidas.\u003c\/p\u003e\n\u003cp\u003eEnergía\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOPTIMICE SU EFICIENCIA ENERGÉTICA\u003c\/strong\u003e\u003cbr\u003eCon Jetson TX2, ahora puede ejecutar redes neuronales profundas y grandes para una mayor precisión en dispositivos de borde. Con solo 7.5 vatios, ofrece 25 veces más eficiencia energética que una CPU de clase de escritorio de última generación. Esto lo hace ideal para el procesamiento en tiempo real en aplicaciones donde el ancho de banda y la latencia pueden ser un problema. Estos incluyen robots de fábrica, drones comerciales, dispositivos de colaboración empresarial y cámaras inteligentes para ciudades inteligentes.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eUNA JETSON TX2 PARA CUALQUIER APLICACIÓN\u003c\/strong\u003e\u003cbr\u003eLa familia extendida de módulos integrados Jetson TX2 ofrece hasta 2.5 veces el rendimiento de Jetson Nano en tan solo 7.5 W. Jetson TX2 NX ofrece compatibilidad de pines y factor de forma con Jetson Nano, mientras que Jetson TX2, TX2 4GB y TX2i comparten el factor de forma original de Jetson TX2. La robusta Jetson TX2i es ideal para entornos que incluyen robots industriales y equipos médicos.\u003c\/p\u003e\n\u003ch5\u003eEspecificaciones\u003c\/h5\u003e\n\u003ctable style=\"width: 474.625px;\" cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eRendimiento de IA\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1.33 TFLOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eArquitectura NVIDIA Pascal\u003csup\u003e™\u003c\/sup\u003e con 256 núcleos NVIDIA\u003csup\u003e®\u003c\/sup\u003e CUDA\u003csup\u003e®\u003c\/sup\u003e\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eComplejo de procesador con CPU NVIDIA Denver 2 de 64 bits de doble núcleo y procesador Arm\u003csup\u003e®\u003c\/sup\u003e Cortex\u003csup\u003e®\u003c\/sup\u003e-A57 de cuatro núcleos\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMemoria\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e4 GB LPDDR4 de 128 bits\u003cbr\u003e51.2 GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eAlmacenamiento\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eEnergía\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e7.5W | 15W\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 + 1 x2\u003cbr\u003ePCIe Gen2, total 30 GT\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCámara CSI\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eHasta 5 cámaras (12 mediante canales virtuales)\u003cbr\u003e12 carriles MIPI CSI-2 (3x4 o 5x2)\u003cbr\u003eD-PHY 1.2 (hasta 30 Gbps)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCodificación de video\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)\u003cbr\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eDecodificación de video\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 y H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePantalla\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2 multimodo DP 1.2\/eDP 1.4\/HDMI 2.0\u003cbr\u003e1x 2 DSI (1.5 Gbps\/carril)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eRedes\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eEthernet 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMecánica\u003c\/td\u003e\n\n\u003ctd style=\"width: 379.625px; text-align: left;\" class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003eConector de borde SO-DIMM de 260 pines\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39516436791382,"sku":"SBC1103-NX","price":29649.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1_88553d47-d730-4de0-aad7-4a8a9dfe6b57.png?v=1629799470"},{"product_id":"nvidia-jetson-agx-xavier-module-online","title":"Módulo Nvidia Jetson AGX Xavier","description":"\u003cp data-mce-fragment=\"1\"\u003eNVIDIA® Jetson AGX Xavier™ establece un nuevo estándar en densidad de computación, eficiencia energética y capacidades de inferencia de IA en dispositivos periféricos (edge). Es la siguiente evolución en máquinas inteligentes de última generación con capacidades autónomas de extremo a extremo.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eEl módulo Jetson AGX Xavier hace posibles las máquinas autónomas impulsadas por IA, funcionando con un consumo mínimo de 10W y ofreciendo hasta 32 TOPs. Como parte de la plataforma de computación de IA líder en el mundo, se beneficia del amplio conjunto de herramientas y flujos de trabajo de IA de NVIDIA, lo que permite a los desarrolladores entrenar e implementar redes neuronales rápidamente.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eCaracterísticas \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eTamaño\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eUN AVANCE EN APLICACIONES INTEGRADAS\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eCon solo 100 x 87 mm, Jetson AGX Xavier ofrece un gran rendimiento de estación de trabajo en una décima parte del tamaño de una estación de trabajo convencional. Esto lo hace ideal para máquinas autónomas como robots de entrega y logística, sistemas de fábrica y grandes vehículos aéreos no tripulados (UAV) industriales.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eRendimiento \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eLLEVANDO EL RENDIMIENTO AL LÍMITE (EDGE)\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eComo el primer ordenador del mundo diseñado específicamente para máquinas autónomas, Jetson AGX Xavier tiene el rendimiento necesario para manejar odometría visual, fusión de sensores, localización y mapeo, detección de obstáculos y algoritmos de planificación de rutas, que son fundamentales para los robots de próxima generación. Obtenga un rendimiento de nivel de estación de trabajo con GPU con hasta 32 TOPS de computación máxima y 750 Gbps de E\/S de alta velocidad en un formato compacto.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eEnergía\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eEL PODER DE LA FLEXIBILIDAD\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eLa serie Jetson AGX Xavier proporciona el mayor nivel de rendimiento para máquinas autónomas en un sistema energéticamente eficiente. Jetson AGX Xavier se entrega con perfiles de energía configurables preestablecidos para 10W, 15W y 30W, y Jetson AGX Xavier Industrial se entrega con perfiles preestablecidos para 20W y 40W. Estos perfiles de energía se pueden cambiar durante el tiempo de ejecución y personalizar según las necesidades específicas de su aplicación.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eUN JETSON AGX XAVIER PARA CADA APLICACIÓN\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eLa serie de módulos Jetson AGX Xavier ofrece hasta 32 TOPS de rendimiento de IA, y el amplio conjunto de herramientas y flujos de trabajo de IA de NVIDIA permite a los desarrolladores entrenar e implementar redes neuronales rápidamente.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eEspecificaciones \u003c\/h5\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\" style=\"width: 480.578px;\" data-mce-fragment=\"1\"\u003e\n\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eGPU\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eArquitectura NVIDIA Volta con 512 núcleos NVIDIA CUDA y 64 núcleos Tensor\u003cbr data-mce-fragment=\"1\"\u003e22 TOPS (INT8)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCPU\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eCPU NVIDIA Carmel Armv8.2 de 8 núcleos y 64 bits\u003cbr data-mce-fragment=\"1\"\u003e8MB L2 + 4MB L3\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eAcelerador DL\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x NVDLA\u003cbr data-mce-fragment=\"1\"\u003e10 TOPS (INT8)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eAcelerador de visión\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x procesador de visión VLIW de 7 vías\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMemoria\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32GB LPDDR4x de 256 bits\u003cbr data-mce-fragment=\"1\"\u003e136.5GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eAlmacenamiento\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32 GB eMMC 5.1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCámara CSI\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eHasta 6 cámaras (36 mediante canales virtuales)\u003cbr data-mce-fragment=\"1\"\u003e16 carriles MIPI CSI-2, 8 carriles SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003eD-PHY 1.2 (hasta 40Gbps)\u003cbr data-mce-fragment=\"1\"\u003eC-PHY 1.1 (hasta 62Gbps)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCodificación de video\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e4x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e8x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e16x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e32x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eDecodificación de video\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x 8K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e6x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e12x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e26x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e52x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x 1080p30 (H.264)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eUPHY\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e8x PCIe Gen4 | 8x SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003e3x USB 3.1\u003cbr data-mce-fragment=\"1\"\u003eUFS de un solo carril\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eRedes\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eEthernet 10\/100\/1000 BASE-T\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003ePantalla\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eTres modos múltiples DP 1.2a\/e DP 1.4\/HDMI 2.0 a\/b\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eOtra E\/S\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eUSB 2.0\u003cbr data-mce-fragment=\"1\"\u003eUART, SPI, CAN, I2C, I2S, DMIC \u0026amp; DSPK, GPIOs\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eEnergía\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e10W | 15W | 30W\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr data-mce-fragment=\"1\"\u003e\n\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMecánico\u003c\/td\u003e\n\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e100mm x 87mm\u003cbr data-mce-fragment=\"1\"\u003eConector Molex Mirror Mezz de 699 pines\u003cbr data-mce-fragment=\"1\"\u003ePlaca de transferencia térmica integrada\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":39794913149014,"sku":"SBC1104-32SOM","price":192199.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-module-1ccw-d.png?v=1630335369"},{"product_id":"nvidia-jetson-agx-xavier-industrial-32gb-som-online","title":"NVIDIA JETSON AGX ORIN INDUSTRIAL (64GB) - 900-13701-0080-000","description":"\u003cp\u003eEl módulo NVIDIA® Jetson AGX Orin™ Industrial ofrece hasta 248 TOPs de rendimiento de IA para aplicaciones industriales integradas con una potencia configurable entre 15W y 75W. Su formato y pines son compatibles con Jetson AGX Orin, y proporciona más de 8 veces el rendimiento de Jetson AGX Xavier Industrial.\u003c\/p\u003e\n\u003cp\u003eEste sistema en módulo admite múltiples pipelines de aplicaciones de IA simultáneas con una GPU de arquitectura NVIDIA Ampere, aceleradores de visión y aprendizaje profundo de próxima generación, E\/S de alta velocidad y un gran ancho de banda de memoria. Incluye un rango de temperatura extendido, vida útil operativa y especificaciones de resistencia a golpes y vibraciones, así como compatibilidad con memoria de código de corrección de errores (ECC), lo que lo hace ideal para productos de IA de grado industrial. El módulo también incluye funciones de seguridad como raíz de confianza de hardware, arranque seguro, criptografía acelerada por hardware, compatibilidad con almacenamiento y memoria cifrados, y otras funciones de seguridad para proteger sus despliegues.\u003c\/p\u003e\n\u003cp\u003eJetson ejecuta la pila de software de IA de NVIDIA, y están disponibles marcos de trabajo de aplicaciones específicos para cada caso de uso, incluidos Isaac™ para robótica, DeepStream para IA de visión y Riva para IA conversacional. Puede ahorrar una cantidad significativa de tiempo con NVIDIA Omniverse Replicator para la generación de datos sintéticos (SDG) y mediante el uso del kit de herramientas NVIDIA TAO para ajustar modelos de IA preentrenados del catálogo NGC™.\u003c\/p\u003e\n\u003cp\u003eLos socios del ecosistema Jetson ofrecen software adicional de IA y de sistema, herramientas para desarrolladores y desarrollo de software personalizado. También pueden ayudar con cámaras y otros sensores, así como con placas base y servicios de diseño para su producto.\u003c\/p\u003e\n\u003cp\u003eLos módulos Jetson Orin ofrecen un rendimiento y una eficiencia inigualables para robots y otras máquinas autónomas, brindándole la flexibilidad para crear la próxima generación de soluciones de IA con la última tecnología de GPU de NVIDIA. Junto con la pila de software de IA de NVIDIA, estándar a nivel mundial, y un ecosistema de servicios y productos, su camino al mercado nunca ha sido más rápido.\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003eCaracterísticas:\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch4\u003e\n\n\u003cspan\u003eMódulo Jetson AGX Orin Industrial (P3701)\u003c\/span\u003e\u003cbr\u003e\n\n\u003c\/h4\u003e\n\u003cul\u003e\n\n\u003cli\u003eGPU de arquitectura NVIDIA Ampere de 2048 núcleos con 64 núcleos tensoriales\u003c\/li\u003e\n\n\u003cli\u003e2x NVDLA v2.0 \u0026gt; CPU NVIDIA Arm Cortex A78AE v8.2 de 12 núcleos y 64 bits\u003c\/li\u003e\n\n\u003cli\u003e64 GB LPDDR5 de 256 bits (+ECC) \u0026gt; PVA v2.0\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003ch4\u003e\n\n\u003cspan\u003eAlimentación\u003c\/span\u003e\u003cbr\u003e\n\n\u003c\/h4\u003e\n\u003cul\u003e\n\n\u003cli\u003eEntrada de voltaje: 5V, 7V-20V\u003c\/li\u003e\n\n\u003cli\u003ePotencia del módulo: 15W-75W\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eEspecificaciones técnicas:\u003c\/h2\u003e\n\u003ctable style=\"width: 70%;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eRendimiento de IA\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cspan id=\"page1R_mcid104\" class=\"markedContent\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e275\u003c\/span\u003e\u003c\/span\u003e TOPS\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eGPU\u003c\/td\u003e\n\n\u003ctd\u003eGPU Ampere de 2048 núcleos, con 64 núcleos tensoriales\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eFrec. máx. de GPU\u003c\/td\u003e\n\n\u003ctd\u003e1.2 GHz\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCPU\u003c\/td\u003e\n\n\u003ctd\u003eCPU NVIDIA Arm Cortex A78AE v8.2 de 12 núcleos y 64 bits, 3MB L2 + 6MB L3\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eFrec. máx. de CPU\u003c\/td\u003e\n\n\u003ctd\u003e2 GHz\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAcelerador DL\u003c\/td\u003e\n\n\u003ctd\u003e2x NVDLA v2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAcelerador de visión\u003c\/td\u003e\n\n\u003ctd\u003ePVA v2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMemoria\u003c\/td\u003e\n\n\u003ctd\u003e64GB LPDDR5 de 256 bits @ 3200MHz 204.8GB\/s (+ECC)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAlmacenamiento\u003c\/td\u003e\n\n\u003ctd\u003e64GB eMMC 5.1\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePCIe\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e2 x8 + 1 x4 + 2 x1\u003cbr\u003e22 carriles PCIe Gen 4\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCámara CSI\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e16 carriles MIPI CSI-2 (16 canales virtuales)\u003cbr\u003eD-PHY 2.1 40Gbps\/ C-PHY 2.0 164Gbps\u003cbr\u003e\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCodificación de video\u003c\/td\u003e\n\n\u003ctd\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 15x 1080p30 (H.265)\u003cbr\u003eH.264, AV1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eDecodificación de video\u003c\/td\u003e\n\n\u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 23x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePantalla\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e1 multimodo (8K60, 2x 4K60) DP1.4a (+ MST)\/HDMI2.1\/eDP 1.4\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eRedes\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e1 Gbe | 1x 10GBE\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUSB\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e3x USB 3.2 Gen 2 | 4x USB 2.0\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eOtras E\/S\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e4x UART 3x SPI | 4x I2S | 8x I2C | 2X CAN | PWM | DMIC | DSPK | GPIOs\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAlimentación\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e15W-75W\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMecánica\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e100mm x 87mm\u003cbr\u003eConector de 699 pines\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eImpacto mecánico\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e50G operativo\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVibración\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e5G operativo\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperatura\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e-40°C a 85°C en la superficie TTP\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eResistencia térmica\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e-40°C a 85°C\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperatura\/humedad polarizada\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e85°C\/85% HR\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUnderfill\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003eUnión de esquinas del SoC y underfill de componentes\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eECC\u003cbr\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003eDRAM ECC compatible\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39522915319894,"sku":"SBC1104-MODi","price":389049.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/900-13701-0080-000-4T.jpg?v=1740878199"},{"product_id":"official-jetson-xavier-nx-heatsink-with-fan-online","title":"Disipador de calor con ventilador oficial para Jetson Xavier NX","description":"\u003ch2\u003eDisipador de calor con ventilador para módulo Jetson Xavier NX\u003c\/h2\u003e\n\u003cul style=\"text-align: center;\"\u003e\n\n\u003cli style=\"text-align: left;\"\u003eTotalmente compatible con el módulo Jetson Xavier NX.\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eGestión térmica eficaz: radiador de aleación de aluminio completo.\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eFácil de ensamblar\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eColor: negro\u003c\/span\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cspan data-mce-fragment=\"1\"\u003eMaterial: aleación de aluminio \u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003eNota: El módulo Jetson XAVIER NX no está incluido. \u003c\/p\u003e\n\u003ch3\u003eContenido del paquete:\u003cbr data-mce-fragment=\"1\"\u003e\n\n\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003e1x Disipador de calor  \u003c\/li\u003e\n\n\u003cli\u003e1x Soporte \u003c\/li\u003e\n\n\u003cli\u003e4x Tornillos\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e \u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eNota: La medición puede tener errores de ±2 cm.\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39763994247254,"sku":"WVSH0359","price":1299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/S2ab1824f26354ab882fb9ca09e0ac1b51.jpg?v=1647513697"},{"product_id":"nvidia-jetson-agx-orin-developer-kit-64gb","title":"Kit de desarrollo NVIDIA Jetson AGX Orin (64GB)","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eEl kit de desarrollo NVIDIA® Jetson AGX Orin™ incluye un módulo Jetson AGX Orin de alto rendimiento y bajo consumo, y puede emular los demás módulos Jetson Orin. Ahora dispone de hasta 275 TOPS y 8 veces el rendimiento de NVIDIA® Jetson AGX Xavier™ en el mismo formato compacto para desarrollar robots avanzados y otros productos de máquinas autónomas.\u003c\/p\u003e\n\u003cp\u003eCon el soporte de NVIDIA JetPack™ y plataformas de software específicas para casos de uso, incluyendo Isaac para robótica y Metropolis para ciudades inteligentes, este kit de desarrollo ofrece todo lo necesario para empezar de inmediato.\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eContenido del kit de desarrollo\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eMódulo Jetson AGX Orin con disipador de calor y placa base de referencia\u003c\/li\u003e\n\n\u003cli\u003eControlador de interfaz de red inalámbrica 802.11ac\/abgn\u003c\/li\u003e\n\n\u003cli\u003eAdaptador de corriente y cable USB-C\u003c\/li\u003e\n\n\u003cli\u003eGuía de inicio rápido y soporte\u003c\/li\u003e\n\n\u003cli\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTA: Hay un tiempo de entrega de 5 días después de realizar el pedido.\u003c\/span\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp class=\"content-l\" data-mce-fragment=\"1\"\u003e \u003cmeta charset=\"UTF-8\"\u003e\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eEspecificaciones técnicas\u003c\/h3\u003e\n\u003cdiv class=\"row\"\u003e\n\n\u003cdiv class=\"col-md-3\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"col-md-6\"\u003e\n\n\u003ctable class=\"table table-bordered\"\u003e\n\n\u003cthead\u003e\n\n\u003ctr\u003e\n\n\u003cth colspan=\"2\"\u003eMÓDULO JETSON AGX ORIN\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eGPU\u003c\/th\u003e\n\n\u003cth\u003eArquitectura NVIDIA Ampere con 2048 núcleos NVIDIA® CUDA® y \u003cbr\u003e64 núcleos Tensor\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eCPU\u003c\/th\u003e\n\n\u003cth\u003eCPU Arm Cortex-A78AE v8.2 de 64 bits y 12 núcleos \u003cbr\u003e3MB L2 + 6MB L3\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eAcelerador DL\u003c\/th\u003e\n\n\u003cth\u003e2x NVDLA v2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eAcelerador de visión\u003c\/th\u003e\n\n\u003cth\u003ePVA v2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eMemoria\u003c\/th\u003e\n\n\u003cth\u003e64GB LPDDR5 de 256 bits \u003cbr\u003e204.8 GB\/s\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eAlmacenamiento\u003c\/th\u003e\n\n\u003cth\u003e64GB eMMC 5.1\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eCodificación de vídeo\u003c\/th\u003e\n\n\u003cth\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDecodificación de vídeo\u003c\/th\u003e\n\n\u003cth\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60 | 24x 1080p30 (H.265)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/thead\u003e\n\n\u003ctbody\u003e\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\u003cp class=\"content-s\"\u003eConsulte la sección de Características del software de la última Guía del desarrollador de NVIDIA Jetson Linux para obtener una lista de las funciones compatibles.\u003c\/p\u003e\n\n\u003cbr\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\n\u003cthead\u003e\n\n\u003ctr\u003e\n\n\u003cth colspan=\"2\"\u003ePLACA BASE DE REFERENCIA\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eCámara\u003c\/th\u003e\n\n\u003cth\u003eConector MIPI CSI-2 de 16 carriles\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003ePCIe\u003c\/th\u003e\n\n\u003cth\u003eRanura PCIe x16 compatible con PCIe Gen4 x8\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eRJ45\u003c\/th\u003e\n\n\u003cth\u003eHasta 10 GbE\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eM.2 Key M\u003c\/th\u003e\n\n\u003cth\u003ePCIe Gen 4 x4\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eM.2 Key E\u003c\/th\u003e\n\n\u003cth\u003ePCIe Gen 4 x1, USB 2.0, UART, I2S\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB tipo C\u003c\/th\u003e\n\n\u003cth\u003e2x USB 3.2 Gen2 con soporte USB-PD\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB tipo A\u003c\/th\u003e\n\n\u003cth\u003e2x USB 3.2 Gen2, 2x USB 3.2 Gen1\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eUSB Micro-B\u003c\/th\u003e\n\n\u003cth\u003eUSB 2.0\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDisplayPort\u003c\/th\u003e\n\n\u003cth\u003eDisplayPort 1.4a (+MST)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eRanura microSD\u003c\/th\u003e\n\n\u003cth\u003eTarjetas UHS-1 hasta modo SDR104\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eOtros\u003c\/th\u003e\n\n\u003cth\u003eCabezal de 40 pines (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) \u003cbr\u003eCabezal de automatización de 12 pines \u003cbr\u003eCabezal de panel de audio de 10 pines \u003cbr\u003eCabezal JTAG de 10 pines \u003cbr\u003eCabezal de ventilador de 4 pines \u003cbr\u003eConector de batería de respaldo RTC de 2 pines \u003cbr\u003eConector de alimentación CC \u003cbr\u003eBotones de encendido, recuperación forzada y reinicio\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDimensiones\u003c\/th\u003e\n\n\u003cth\u003e110mm x 110mm x 71.65mm \u003cbr\u003e(La altura incluye patas, placa base, módulo y solución térmica)\u003c\/th\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/thead\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39806068162646,"sku":"SBC1105-DEV","price":424999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/agx-drive-concord-2c50-P_2x_f70ef5ff-e87e-46c6-8c9f-2abfc3138002.png?v=1650646505"},{"product_id":"nvidia-jetson-agx-orin-som-32gb-online","title":"Módulo NVIDIA Jetson AGX Orin","description":"\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\n\u003ch2\u003eNVIDIA® Jetson AGX Orin™ 32GB\u003c\/h2\u003e\n\n\u003cp\u003eEl módulo NVIDIA Jetson AGX Orin de 32 GB ofrece hasta 200 TOPS de rendimiento de IA con una potencia configurable entre 15 W y 40 W. Esto le proporciona más de 6 veces el rendimiento de Jetson AGX Xavier en el mismo formato compacto para robótica y otros casos de uso de máquinas autónomas.\u003cbr\u003e\u003cbr\u003eEste sistema en módulo admite múltiples pipelines de aplicaciones de IA simultáneas gracias a la arquitectura de GPU NVIDIA Ampere, aceleradores de aprendizaje profundo y visión de última generación, E\/S de alta velocidad y un gran ancho de banda de memoria. Ahora puede desarrollar soluciones utilizando sus modelos de IA más grandes y complejos para resolver problemas como la comprensión del lenguaje natural, la percepción 3D y la fusión de sensores múltiples.\u003cbr\u003e\u003cbr\u003eJetson ejecuta el stack de software de IA de NVIDIA y dispone de frameworks de aplicación específicos para cada caso de uso, incluyendo Isaac™ para robótica, DeepStream para IA de visión y Riva para IA conversacional. Puede ahorrar un tiempo significativo con NVIDIA Omniverse Replicator para la generación de datos sintéticos (SDG) y utilizando el kit de herramientas NVIDIA TAO para ajustar modelos de IA preentrenados del catálogo NGC™.\u003cbr\u003e\u003cbr\u003eLos socios del ecosistema Jetson ofrecen software de IA y de sistema adicional, herramientas para desarrolladores y desarrollo de software a medida. También pueden ayudarle con cámaras y otros sensores, así como con placas base (carrier boards) y servicios de diseño para su producto.\u003cbr\u003e\u003cbr\u003eLos módulos Jetson Orin ofrecen un rendimiento y una eficiencia inigualables para robots y otras máquinas autónomas, y le brindan la flexibilidad necesaria para crear la próxima generación de soluciones de IA con la última tecnología de GPU de NVIDIA. Junto con el stack de software de IA de NVIDIA, estándar mundial, y un ecosistema de servicios y productos, su camino hacia el mercado nunca ha sido tan rápido.\u003c\/p\u003e\n\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv id=\"Pdp-specifications\" class=\"PartSpecifications ng-star-inserted\"\u003e\n\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eEspecificaciones técnicas del producto\u003c\/h2\u003e\n\n\u003ctable role=\"presentation\" class=\"PartSpecifications-list SimpleAccordion is-active\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"EU RoHS. Tooltip: Restriction of Hazardous Substances in electrical and electronic equipment\" class=\"ng-star-inserted\" tooltip=\"Restricción de sustancias peligrosas en equipos eléctricos y electrónicos\"\u003e\u003cspan aria-hidden=\"true\"\u003eEU RoHS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\n\n\u003cstrong\u003eProveedor no confirmado \u003c\/strong\u003e\u003cspan aria-hidden=\"true\" class=\"Icon Icon--rohs ng-star-inserted\" title=\"EU RoHS Supplier Unconfirmed\"\u003e\u003c\/span\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"ng-star-inserted\" tooltip=\"Número de clasificación de control de exportación\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (EE. UU.)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Part Status. Tooltip: A product\/component is actively being produced and sold\" class=\"ng-star-inserted\" tooltip=\"Un producto\/componente se está produciendo y vendiendo activamente\"\u003e\u003cspan aria-hidden=\"true\"\u003eEstado de la pieza\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eActivo\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"ng-star-inserted\" tooltip=\"Código del Sistema Armonizado de Designación y Codificación de Mercancías\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003eAutomoción\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDesconocido\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDesconocido\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"El tipo de procesador describe el tipo de fabricación al que pertenece el procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"ng-star-inserted\" tooltip=\"La familia de procesadores describe el grupo de procesadores al que pertenece el procesador, el cual tiene características y aplicaciones comunes específicas.\"\u003e\u003cspan aria-hidden=\"true\"\u003eFamilia de procesadores\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"ng-star-inserted\" tooltip=\"El número de procesador describe el número de referencia del procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúmero de procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"Los núcleos del procesador describen la categoría de núcleos a la que pertenece el procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúcleos del procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 núcleos\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Speed (Hz). Tooltip: Processor Speed describes how many bits the processor can process in a second.\" class=\"ng-star-inserted\" tooltip=\"La velocidad del procesador describe cuántos bits puede procesar el procesador en un segundo.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVelocidad del procesador (Hz)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2.2G\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Thermal Design Power (W). Tooltip: Processor Thermal Design Power describes the maximum amount of power the cooling system in a computer is required to dissipate.\" class=\"ng-star-inserted\" tooltip=\"La potencia de diseño térmico del procesador describe la cantidad máxima de energía que el sistema de refrigeración de una computadora debe disipar.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePotencia de diseño térmico del procesador (W)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15|30|40\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"ng-star-inserted\" tooltip=\"El factor de forma describe el tamaño, la configuración o la disposición física de un objeto de hardware informático.\"\u003e\u003cspan aria-hidden=\"true\"\u003eFactor de forma\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCompacto\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"ng-star-inserted\" tooltip=\"El soporte JTAG describe el estándar IEEE para la tecnología de escaneo de límites. Un estándar que especifica cómo controlar y supervisar los pines de dispositivos compatibles en una placa de circuito impreso.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSoporte JTAG\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSí\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Data Cache Size (B). Tooltip: Data Cache Size describes the program a personal computer's microprocessor uses to get the computer system started after you turn it on.\" class=\"ng-star-inserted\" tooltip=\"El tamaño de la caché de datos describe el programa que utiliza el microprocesador de una computadora personal para iniciar el sistema informático después de encenderlo.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTamaño de caché de datos (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2M|4M\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"El número de memorias del sistema describe la cantidad de memorias que admite el sistema.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúmero de memorias del sistema\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"ng-star-inserted\" tooltip=\"El tipo de memoria del sistema describe una forma de almacenamiento de datos informáticos. Un dispositivo de acceso aleatorio permite acceder a los datos almacenados en prácticamente el mismo tiempo para cualquier ubicación de almacenamiento, por lo que se puede acceder a los datos rápidamente en cualquier orden.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de RAM\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Socket Type. Tooltip: System Memory Socket Type describes the socket type of the connector.\" class=\"ng-star-inserted\" tooltip=\"El tipo de zócalo de memoria del sistema describe el tipo de zócalo del conector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de zócalo de memoria del sistema\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDRAM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"El tamaño máximo de la memoria del sistema describe el tamaño máximo de la memoria que admite el sistema.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTamaño máximo de memoria del sistema (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e32G\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Speed. Tooltip: System Memory Speed describes the rate at which the memory can receive data and send data to the processor.\" class=\"ng-star-inserted\" tooltip=\"La velocidad de la memoria del sistema describe la tasa a la que la memoria puede recibir y enviar datos al procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVelocidad de la memoria del sistema\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3200MHz\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"ng-star-inserted\" tooltip=\"UART es una interfaz que convierte bytes paralelos de la CPU en bits serie para la transmisión, y viceversa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"ng-star-inserted\" tooltip=\"USART es un transmisor\/receptor síncrono\/asíncrono universal que es una UART que también puede comunicarse de forma síncrona.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"ng-star-inserted\" tooltip=\"SPI es una interfaz serie síncrona dúplex completo para conectar dispositivos externos de bajo\/medio ancho de banda utilizando cuatro cables.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"ng-star-inserted\" tooltip=\"I2C es un bus serie bidireccional de dos cables que proporciona un enlace de comunicación entre circuitos integrados (CI).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"ng-star-inserted\" tooltip=\"CAN describe el protocolo Controller Area Network (CAN), que es un protocolo de comunicación serie desarrollado originalmente por Robert Bosch para su uso en redes de comunicación serie en vehículos.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"ng-star-inserted\" tooltip=\"USB es el puerto serie universal, que es una interfaz plug-and-play entre una computadora y dispositivos complementarios, como reproductores multimedia, teclados, teléfonos, cámaras digitales, escáneres, unidades flash, joysticks e impresoras. Admite conexión en caliente (hot-swapping), lo que significa que se puede agregar un nuevo dispositivo a su computadora sin tener que agregar una tarjeta adaptadora ni siquiera apagar la computadora.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"ng-star-inserted\" tooltip=\"VGA es un conjunto de conectores eléctricos macho y hembra D-subminiatura de 15 pines que retransmiten datos de una computadora a un dispositivo de salida.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"ng-star-inserted\" tooltip=\"SATA es una interfaz de hardware estándar para conectar discos duros y unidades de CD\/DVD a una computadora. SATA es la versión serie de la interfaz anterior Parallel ATA (PATA).\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"ng-star-inserted\" tooltip=\"PATA es la tecnología de disco duro IDE original que utiliza un canal de datos paralelo desde la placa base hasta las unidades de disco.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"ng-star-inserted\" tooltip=\"GPIO es una interfaz genérica cuyo comportamiento (incluyendo si es un pin de entrada o salida) puede ser controlado (programado) por el usuario en tiempo de ejecución.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"ng-star-inserted\" tooltip=\"Las interfaces de audio son interfaces que toman todas las diversas entradas de audio y las convierten en datos de audio digitales.\"\u003e\u003cspan aria-hidden=\"true\"\u003eInterfaces de audio\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1@DMIC\/1@DSPK\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Video In. Información sobre herramientas: Video In es un puerto gráfico que permite a las tarjetas de vídeo tener una transferencia de vídeo analógico de entrada a través de un conector mini-DIN.\" class=\"ng-star-inserted\" tooltip=\"Video In es un puerto gráfico que permite a las tarjetas de vídeo tener una transferencia de vídeo analógico de entrada a través de un conector mini-DIN.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVideo In\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSí\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS485. Información sobre herramientas: RS485 es un estándar de la Electronics Industry Alliance (EIA) para comunicaciones multipunto. Admite varios tipos de conectores, incluidos DB-9 y DB-37. RS-485 es similar a RS-422, pero puede admitir más nodos por línea porque utiliza controladores y receptores de menor impedancia.\" class=\"ng-star-inserted\" tooltip=\"RS485 es un estándar de la Electronics Industry Alliance (EIA) para comunicaciones multipunto. Admite varios tipos de conectores, incluidos DB-9 y DB-37. RS-485 es similar a RS-422, pero puede admitir más nodos por línea porque utiliza controladores y receptores de menor impedancia.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS232. Información sobre herramientas: RS232 es un estándar TIA\/EIA para la transmisión en serie entre ordenadores y dispositivos periféricos (módem, ratón, etc.). Utilizando un conector DB-25 de 25 pines o un DB-9 de 9 pines, su limitación de cable normal de 50 pies puede ampliarse a varios cientos de pies con cables de alta calidad.\" class=\"ng-star-inserted\" tooltip=\"RS232 es un estándar TIA\/EIA para la transmisión en serie entre ordenadores y dispositivos periféricos (módem, ratón, etc.). Utilizando un conector DB-25 de 25 pines o un DB-9 de 9 pines, su limitación de cable normal de 50 pies puede ampliarse a varios cientos de pies con cables de alta calidad.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS422. Información sobre herramientas: RS422 es un estándar TIA\/EIA para interfaces serie que amplía las distancias y velocidades más allá de RS-232. RS-422 es un sistema equilibrado que requiere más pares de cables que su homólogo RS-423 y está diseñado para su uso en líneas multipunto. Ambos utilizan un conector de 37 pines definido por RS-449 o un conector de 25 pines definido por RS-530.\" class=\"ng-star-inserted\" tooltip=\"RS422 es un estándar TIA\/EIA para interfaces serie que amplía las distancias y velocidades más allá de RS-232. RS-422 es un sistema equilibrado que requiere más pares de cables que su homólogo RS-423 y está diseñado para su uso en líneas multipunto. Ambos utilizan un conector de 37 pines definido por RS-449 o un conector de 25 pines definido por RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PCI. Información sobre herramientas: PCI es un sistema de interconexión entre un microprocesador y dispositivos conectados en el que las ranuras de expansión están muy juntas para un funcionamiento de alta velocidad.\" class=\"ng-star-inserted\" tooltip=\"PCI es un sistema de interconexión entre un microprocesador y dispositivos conectados en el que las ranuras de expansión están muy juntas para un funcionamiento de alta velocidad.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"AGP. Información sobre herramientas: AGP es una especificación de interfaz que permite que los gráficos 3D se muestren rápidamente en ordenadores personales ordinarios. AGP está diseñado para transmitir imágenes 3D de forma mucho más rápida y fluida de lo que es posible hoy en día en cualquier ordenador que no sea una costosa estación de trabajo gráfica.\" class=\"ng-star-inserted\" tooltip=\"AGP es una especificación de interfaz que permite que los gráficos 3D se muestren rápidamente en ordenadores personales ordinarios. AGP está diseñado para transmitir imágenes 3D de forma mucho más rápida y fluida de lo que es posible hoy en día en cualquier ordenador que no sea una costosa estación de trabajo gráfica.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Controller Type. Información sobre herramientas: El tipo de controlador Ethernet describe el tipo de controlador (fabricante y su número de pieza) que se utiliza para la red de área local.\" class=\"ng-star-inserted\" tooltip=\"El tipo de controlador Ethernet describe el tipo de controlador (fabricante y su número de pieza) que se utiliza para la red de área local.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de controlador Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eRGMII\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet. Información sobre herramientas: El número de puertos Ethernet describe el número de puertos Ethernet o RJ-45 que admite el dispositivo.\" class=\"ng-star-inserted\" tooltip=\"El número de puertos Ethernet describe el número de puertos Ethernet o RJ-45 que admite el dispositivo.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEthernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Speed. Información sobre herramientas: La velocidad de Ethernet describe la velocidad de datos que admite el controlador de red.\" class=\"ng-star-inserted\" tooltip=\"La velocidad de Ethernet describe la velocidad de datos que admite el controlador de red.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVelocidad de Ethernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1000Mbps\/10000Mbps\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Type. Información sobre herramientas: El tipo de pantalla describe el tipo de pantalla del dispositivo.\" class=\"ng-star-inserted\" tooltip=\"El tipo de pantalla describe el tipo de pantalla del dispositivo.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de pantalla\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLCD\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Interface. Información sobre herramientas: La interfaz de pantalla describe el límite a través del cual dos sistemas independientes se encuentran y actúan o se comunican entre sí.\" class=\"ng-star-inserted\" tooltip=\"La interfaz de pantalla describe el límite a través del cual dos sistemas independientes se encuentran y actúan o se comunican entre sí.\"\u003e\u003cspan aria-hidden=\"true\"\u003eInterfaz de pantalla\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Graphic Card Resolution (Pixels). Información sobre herramientas: La resolución de la tarjeta gráfica describe el número de píxeles distintos en cada dimensión que se pueden mostrar.\" class=\"ng-star-inserted\" tooltip=\"La resolución de la tarjeta gráfica describe el número de píxeles distintos en cada dimensión que se pueden mostrar.\"\u003e\u003cspan aria-hidden=\"true\"\u003eResolución de tarjeta gráfica (píxeles)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7680×4320@DP\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Operating Systems. Información sobre herramientas: Los sistemas operativos describen el programa de software o el conjunto de programas que median el acceso entre los dispositivos físicos (como un teclado, un ratón, un monitor, una unidad de disco o una conexión de red) y los programas de aplicación (como un procesador de textos, un navegador de la World-Wide Web o un cliente de correo electrónico).\" class=\"ng-star-inserted\" tooltip=\"Los sistemas operativos describen el programa de software o el conjunto de programas que median el acceso entre los dispositivos físicos (como un teclado, un ratón, un monitor, una unidad de disco o una conexión de red) y los programas de aplicación (como un procesador de textos, un navegador de la World-Wide Web o un cliente de correo electrónico).\"\u003e\u003cspan aria-hidden=\"true\"\u003eSistemas operativos\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eJetPack SDK|Linux|RTOS\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Linux. Información sobre herramientas: Linux describe si el dispositivo admite el sistema operativo Linux o no y sus versiones compatibles.\" class=\"ng-star-inserted\" tooltip=\"Linux describe si el dispositivo admite el sistema operativo Linux o no y sus versiones compatibles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Medical Application. Información sobre herramientas: La aplicación médica describe si el dispositivo se puede utilizar en aplicaciones médicas o no.\" class=\"ng-star-inserted\" tooltip=\"La aplicación médica describe si el dispositivo se puede utilizar en aplicaciones médicas o no.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAplicación médica\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSí\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Minimum Operating Supply Voltage (V). Información sobre herramientas: La tensión de alimentación de funcionamiento mínima describe la tensión de alimentación mínima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo aplicable.\" class=\"ng-star-inserted\" tooltip=\"La tensión de alimentación de funcionamiento mínima describe la tensión de alimentación mínima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo aplicable.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTensión de alimentación operativa mínima (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Maximum Operating Supply Voltage (V). Información sobre herramientas: La tensión de alimentación de funcionamiento máxima describe la tensión de alimentación máxima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo aplicable.\" class=\"ng-star-inserted\" tooltip=\"La tensión de alimentación de funcionamiento máxima describe la tensión de alimentación máxima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo aplicable.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTensión de alimentación operativa máxima (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Pinout Type. Información sobre herramientas: El tipo de pinout describe la referencia cruzada entre los contactos, o pines, de un conector eléctrico o componente electrónico, y sus funciones.\" class=\"ng-star-inserted\" tooltip=\"El tipo de pinout describe la referencia cruzada entre los contactos, o pines, de un conector eléctrico o componente electrónico, y sus funciones.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de pinout\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\n\u003cp data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":45232480452925,"sku":"SBC1052-32GB","price":228799.99,"currency_code":"INR","in_stock":false},{"title":"64GB","offer_id":45232480485693,"sku":"SBC1052-64GB","price":366149.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-orin-module-front-2c50-p_2x_c3f78f88-30c0-4e5c-a36a-53b1b0e10488.jpg?v=1666799681"},{"product_id":"nvidia-jetson-orin-nano-developer-kit","title":"Kit de desarrollo NVIDIA Jetson Orin Nano Super","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA Jetson Orin™ Nano Super Developer Kit\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cspan\u003eEl NVIDIA Jetson Orin Nano™ Super Developer Kit es un ordenador compacto pero potente que redefine la IA generativa para pequeños dispositivos de borde. Ofrece hasta 67 TOPS de rendimiento de IA (una mejora de 1,7 veces respecto a su predecesor) para ejecutar sin problemas los modelos de IA generativa más populares, como vision transformers, modelos de lenguaje extenso, modelos de lenguaje visual y más. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNota: Límite de cuatro unidades por cuenta de cliente para uso exclusivo de I+D. Las instituciones educativas están exentas de esta restricción. La fuente de alimentación está incluida en el kit. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePara necesidades de mayor cantidad, están disponibles los \u003cem\u003e\u003ca style=\"color: rgb(43, 0, 255); text-decoration: underline;\" rel=\"noopener\" href=\"https:\/\/thinkrobotics.com\/products\/thinkrobotics-edge-ai-device-with-nvidia-jetson-orin%E2%84%A2-nano-made-in-india?utm_source=copyToPasteBoard\u0026amp;utm_medium=product-links\u0026amp;utm_content=web\" target=\"_blank\"\u003e\u003cstrong\u003eNVIDIA Jetson Orin™ Nano Deployment Kits\u003c\/strong\u003e\u003c\/a\u003e\u003c\/em\u003e.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eCaracterísticas\u003c\/h2\u003e\n\u003ctable style=\"width: 99.5588%;\" border=\"0\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eRendimiento de IA\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e67 TOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eAncho de banda de memoria\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e102 GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eFrecuencia de CPU\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e1.7 GHz\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eGPU de arquitectura NVIDIA Ampere de 1024 núcleos con 32 Tensor Cores\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eCPU Arm® Cortex®-A78AE v8.2 de 64 bits y 6 núcleos, 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e8GB LPDDR5 de 128 bits a 68 GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eAlmacenamiento\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eRanura para tarjeta SD y NVMe externo mediante M.2 Key M\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eEnergía\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e7W – 25W\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 99.5588%; height: 957.816px;\" border=\"0\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr style=\"height: 56.9205px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 99.3512%; height: 56.9205px;\" height=\"46\" width=\"935\" colspan=\"3\" class=\"et3\"\u003e\n\n\u003ch3\u003eConfiguración del Jetson Orin Nano Super Developer Kit\u003c\/h3\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 122.983px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 122.983px;\" height=\"123\" width=\"262\" class=\"et5\"\u003e \u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 122.983px;\" width=\"351\" class=\"et6\"\u003e\u003cstrong\u003eNVIDIA Jetson Orin Nano Developer Kit (original)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 122.983px;\" width=\"320\" class=\"et6\"\u003e\u003cstrong\u003eNVIDIA Jetson Orin Nano Super Developer Kit\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 273.949px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 273.949px;\" height=\"274\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 273.949px;\" width=\"351\" class=\"et5\"\u003e\n\n\u003cbr\u003eArquitectura NVIDIA Ampere\u003cbr\u003e1,024 núcleos CUDA\u003cbr\u003e32 Tensor Cores\u003cbr\u003e635 MHz\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 273.949px;\" width=\"320\" class=\"et5\"\u003e\n\n\u003cbr\u003eArquitectura NVIDIA\u003cbr\u003eAmpere\u003cbr\u003e1,024 núcleos CUDA\u003cbr\u003e32 Tensor Cores\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1,020 MHz\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 180px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 180px;\" height=\"180\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eREND. IA\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 180px;\" width=\"351\" class=\"et5\"\u003e\n\n\u003cbr\u003e40 TOPS INT8 (Disperso)\u003cbr\u003e20 TOPS INT8 (Denso)\u003cbr\u003e10 TFLOPS FP16\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 180px;\" width=\"320\" class=\"et5\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e67 TOPS (Disperso)\u003cbr\u003e33 TOPS (Denso)\u003cbr\u003e17 TFLOPS FP16\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 150.966px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 150.966px;\" height=\"151\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 150.966px;\" width=\"351\" class=\"et5\"\u003eCPU Arm Cortex-\u003cbr\u003eA78AE v8.2 de 64 bits y 6 núcleos\u003cbr\u003e1.5 GHz\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 150.966px;\" width=\"320\" class=\"et5\"\u003eCPU Arm Cortex-\u003cbr\u003eA78AE v8.2 de 64 bits y 6 núcleos\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1.7 GHz\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 125px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 125px;\" height=\"125\" width=\"262\" class=\"et6\"\u003e\n\n\u003cbr\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 125px;\" width=\"351\" class=\"et5\"\u003eLPDDR5 de 8GB y 128 bits\u003cbr\u003e68 GB\/s\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 125px;\" width=\"320\" class=\"et5\"\u003eLPDDR5 de 8GB y 128 bits\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e102 GB\/s\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 47.9972px;\"\u003e\n\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 47.9972px;\" height=\"48\" width=\"262\" class=\"et6\"\u003e\u003cstrong\u003ePOTENCIA MÓDULO\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 47.9972px;\" width=\"351\" class=\"et5\"\u003e7W|15W\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 47.9972px;\" width=\"320\" class=\"et5\"\u003e7W|15W|\u003cstrong\u003e\u003cspan class=\"font1\"\u003e25W\u003c\/span\u003e\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":44900111188285,"sku":"SBC1047","price":54999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-nano-super-developer-kit-og.jpg?v=1737536404"},{"product_id":"orin-nano-som","title":"Módulo NVIDIA Jetson Orin Nano","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eJetson Orin Nano\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eComputadora de IA avanzada para máquinas autónomas más pequeñas y de bajo consumo\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-1.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"alignl bgBlack pdTRBL\" style=\"text-align: left;\"\u003eN-VIDIA® Jetson Orin™ Nano está disponible en versiones de 4GB y 8GB, con hasta 20 TOPS\/40 TOPS y 40\/80 veces el rendimiento de la generación anterior para múltiples canalizaciones de inferencia de IA simultáneas. Además, con soporte de interfaz de alta velocidad para múltiples sensores, es una solución ideal para una nueva era de la robótica.\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003eCaracterísticas del producto\u003c\/h2\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"bgGrey alignl mgnTB\"\u003e\n\n\u003cp style=\"text-align: left;\"\u003eLa versión de 8GB de la serie Jetson Orin Nano ofrece hasta 40 TOPS de rendimiento de IA en un factor de forma compacto y pequeño, con opciones de energía entre 7W y 15W, hasta 80 veces el rendimiento de N-VIDIA Jetson Nano, estableciendo un nuevo estándar para la IA de borde de nivel de entrada.\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\n\u003cdiv class=\"richTitle hilitColor\"\u003eEspecificaciones de Jetson Orin Nano\u003c\/div\u003e\n\n\u003ctable class=\"tabSty-2 subBlock alignc mgnTB\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eMÓDULO\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003e4GB\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e\u003cstrong class=\"hilitColor\"\u003e8GB\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eVERSIÓN\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eMódulo Jetson Orin Nano de 4GB\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eMódulo Jetson Orin Nano de 8GB\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/nvidia%C2%AE-jetson-orin%E2%84%A2-nano-developer-kit\" target=\"_blank\"\u003eKit oficial\u003c\/a\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eRENDIMIENTO DE IA\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e20TOPS\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e40TOPS\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eGPU\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eGPU con arquitectura N-VIDIA Ampere de 512 núcleos con 16 núcleos Tensor\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003eGPU con arquitectura N-VIDIA Ampere de 1024 núcleos con 32 núcleos Tensor\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eFRECUENCIA DE GPU\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e625MHz (máx.)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eCPU\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003eCPU Arm® Cortex®-A78AE v8.2 de 64 bits y 6 núcleos, 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eFRECUENCIA DE CPU\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e1.5GHz (máx.)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eMEMORIA\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e4GB LPDDR5 de 64 bits, 32GB\/s\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e8GB LPDDR5 de 128 bits, 68GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eALMACENAMIENTO\u003c\/th\u003e\n\n\u003ctd\u003eAdmite NVMe externo\u003c\/td\u003e\n\n\u003ctd\u003eUnidad de estado sólido NVMe de 128GB\u003c\/td\u003e\n\n\u003ctd\u003eAdmite NVMe externo\u003c\/td\u003e\n\n\u003ctd\u003eUnidad de estado sólido NVMe de 128GB\u003c\/td\u003e\n\n\u003ctd\u003eRanura para tarjeta TF y NVMe externo mediante M.2 Key M\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eALIMENTACIÓN\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e7W ~ 10W\u003c\/td\u003e\n\n\u003ctd colspan=\"3\"\u003e7W ~ 15W\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003ePCIE*\u003c\/th\u003e\n\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 3.0, Root Port y Endpoint)\u003c\/td\u003e\n\n\u003ctd\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 4.0, Root Port y Endpoint)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eUSB*\u003c\/th\u003e\n\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\n\u003ctd\u003eUSB Tipo-A: 4x USB 3.2 Gen2\/ USB Tipo-C (UFP)\u003c\/td\u003e\n\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eUSB Tipo-A: 4x USB 3.2 Gen2\/\u003cbr\u003eUSB Tipo-C (UFP)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eCÁMARA CSI\u003c\/th\u003e\n\n\u003ctd\u003eHasta 4 cámaras (8 mediante canales virtuales**)\/\u003cbr\u003e8 carriles MIPI CSI-2\/ D-PHY 1.2 (hasta 20 Gbps)\u003c\/td\u003e\n\n\u003ctd\u003e2x conector de cámara MIPI CSI-2\u003c\/td\u003e\n\n\u003ctd\u003eHasta 4 cámaras (8 mediante canales virtuales**)\/\u003cbr\u003e8 carriles MIPI CSI-2\/ D-PHY 1.2 (hasta 20 Gbps)\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e2x conector de cámara MIPI CSI-2\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eCODIFICACIÓN DE VIDEO\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e1080p30 compatible con 1-2 núcleos de CPU\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eDECODIFICACIÓN DE VIDEO\u003c\/th\u003e\n\n\u003ctd colspan=\"5\"\u003e1x 4K60 (H.265)\u003cbr\u003e2x 4K30 (H.265)\u003cbr\u003e5x 1080p60 (H.265)\u003cbr\u003e11x 1080p30 (H.265)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003ePANTALLA\u003c\/th\u003e\n\n\u003ctd\u003e1x 8K30 modo múltiple DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\n\u003ctd\u003e1x conector DisplayPort 1.2 (+MST)\u003c\/td\u003e\n\n\u003ctd\u003e1x 8K30 modo múltiple DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e1x conector DisplayPort 1.2 (+MST)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eOTROS\u003c\/th\u003e\n\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC y DSPK, PWM, GPIO\u003c\/td\u003e\n\n\u003ctd\u003eCabezal de expansión de 40 pines (UART, SPI, I2S, I2C, GPIO), cabezal de botón de 12 pines, cabezal de ventilador de 4 pines, ranura para tarjeta TF, conector de alimentación CC\u003c\/td\u003e\n\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC y DSPK, PWM, GPIO\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003eCabezal de expansión de 40 pines (UART, SPI, I2S, I2C, GPIO), cabezal de botón de 12 pines, cabezal de ventilador de 4 pines, ranura para tarjeta TF, conector de alimentación CC\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eREDES\u003c\/th\u003e\n\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\n\u003ctd\u003e1x conector GbE\u003c\/td\u003e\n\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\n\u003ctd colspan=\"2\"\u003e1x conector GbE\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth class=\"hilitColor\"\u003eDIMENSIONES\u003c\/th\u003e\n\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003eConector SO-DIMM de 260 pines\u003c\/td\u003e\n\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003eConector SO-DIMM de 260 pines\u003c\/td\u003e\n\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\n\u003ctd\u003e100 mm x 79 mm x 21 mm\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd class=\"alignl\" colspan=\"6\"\u003e* USB 3.2, MGBE y PCIe comparten carriles UPHY. Consulte la Guía de diseño del producto para conocer las configuraciones UPHY compatibles.\u003cbr\u003e** Los canales virtuales para Jetson Orin Nano están sujetos a cambios.\u003cbr\u003eConsulte la sección de características de software de la última Guía para desarrolladores de NVIDIA Jetson Linux para obtener una lista de las características compatibles.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\n\u003ctable style=\"width: 90%; margin: auto; background-color: black;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"6\"\u003e\n\n\u003ch2 style=\"text-align: center; color: white;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center; color: white;\"\u003eSoftware de aplicación profesional y modelos\u003c\/h2\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-1.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003eSoftware N-VIDIA\u003c\/strong\u003e\u003cbr\u003eTodos los módulos y kits de desarrollo N-VIDIA Jetson son compatibles con la misma pila de software N-VIDIA Jetson, por lo que puede desarrollar una vez e implementar en todas partes. El software Jetson está diseñado para proporcionar aceleración integral para aplicaciones de IA y acelerar el tiempo de comercialización. Esto lleva las potentes tecnologías de N-VIDIA que impulsan los centros de datos y las implementaciones en la nube al borde.\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-2.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003eModelos preentrenados\u003c\/strong\u003e\u003cbr\u003eMuchas aplicaciones de IA tienen necesidades comunes: clasificación, detección de objetos, traducción de idiomas, conversión de texto a voz, motores de recomendación, análisis de sentimientos y más. Los modelos preentrenados del catálogo NGC™ están optimizados en cuanto a rendimiento y listos para ser ajustados con el N-VIDIA TAO Toolkit y los conjuntos de datos del cliente, lo que reduce el tiempo y el costo para el desarrollo de software de IA de producción.\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"6\"\u003e\n\n\u003ch2 style=\"color: white;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"color: white;\"\u003ePlataformas N-VIDIA para robótica, voz por IA y ciudades inteligentes\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\"\u003e\u003cspan style=\"color: #ffffff;\"\u003eLas plataformas de software N-VIDIA, incluidas Isaac para robótica, Riva para voz por IA y Metropolis para análisis de video, están disponibles para acelerar las aplicaciones específicas de cada sector.\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-1.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Isaac\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eLos robots mejoran la eficiencia y la calidad de vida en industrias como la fabricación, la logística, la atención médica y los servicios. N-VIDIA Isaac™ acelera el proceso con un desarrollo, simulación e implementación de robótica mejorados.\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-2.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Riva\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Riva es un SDK totalmente acelerado para crear aplicaciones de IA conversacional multimodal utilizando una canalización de aprendizaje profundo de extremo a extremo, adecuado para habilidades optimizadas en tareas de voz, visión y procesamiento de lenguaje natural (NLP).\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-3.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Metropolis\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Metropolis incluye un marco de trabajo de aplicaciones, un conjunto de herramientas para desarrolladores y el ecosistema de socios. Reúne datos visuales e IA para mejorar la eficiencia operativa y la seguridad en una amplia gama de industrias.\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"4GB","offer_id":45187884286269,"sku":"SBC1052-4GB","price":45649.99,"currency_code":"INR","in_stock":true},{"title":"8GB","offer_id":45187884319037,"sku":"SBC1052-8GB","price":51399.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson_orin_nano.png?v=1684145605"},{"product_id":"nvidia-jetson-orin-nx-module","title":"Módulo NVIDIA Jetson Orin NX","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\n\u003ch2\u003eNVIDIA® Jetson Orin™ NX 16GB\u003c\/h2\u003e\n\n\u003cp\u003eEl módulo NVIDIA Jetson Orin™ NX 16GB ofrece hasta 100 TOPS de rendimiento de IA en el factor de forma más pequeño de Jetson, con una potencia configurable entre 10W y 25W. Esto le brinda 3 veces el rendimiento de NVIDIA® Jetson AGX Xavier™ y 5 veces el rendimiento de NVIDIA® Jetson Xavier™ NX, lo que lo hace ideal para productos de bajo consumo y factor de forma pequeño, como drones y dispositivos portátiles.\u003c\/p\u003e\n\n\u003cp\u003eEste sistema en módulo admite múltiples procesos de aplicaciones de IA simultáneos con la arquitectura de GPU NVIDIA Ampere, aceleradores de aprendizaje profundo y visión de próxima generación, E\/S de alta velocidad y un gran ancho de banda de memoria. Ahora puede desarrollar soluciones utilizando sus modelos de IA más grandes y complejos para resolver problemas como la comprensión del lenguaje natural, la percepción 3D y la fusión multisensor.\u003c\/p\u003e\n\n\u003cp\u003eJetson ejecuta la pila de software de IA de NVIDIA y dispone de marcos de trabajo de aplicaciones específicos para cada caso de uso, incluidos Isaac™ para robótica, DeepStream para IA de visión y Riva para IA conversacional. Puede ahorrar mucho tiempo con NVIDIA Omniverse Replicator para la generación de datos sintéticos (SDG) y mediante el uso del kit de herramientas NVIDIA TAO para ajustar modelos de IA preentrenados del catálogo NGC™.\u003c\/p\u003e\n\n\u003cp\u003eLos socios del ecosistema Jetson ofrecen software de sistema e IA adicional, herramientas de desarrollo y desarrollo de software personalizado. También pueden ayudar con cámaras y otros sensores, así como con tarjetas portadoras y servicios de diseño para su producto.\u003c\/p\u003e\n\n\u003cp\u003eLos módulos Jetson Orin no tienen comparación en rendimiento y eficiencia para robots y otras máquinas autónomas, y le brindan la flexibilidad para crear la próxima generación de soluciones de IA con la última tecnología de GPU de NVIDIA. Junto con la pila de software de IA de NVIDIA, estándar mundial, y un ecosistema de servicios y productos, su camino al mercado nunca ha sido más rápido.\u003c\/p\u003e\n\n\u003cbr\u003e\n\n\u003c\/div\u003e\n\u003cdiv class=\"PartSpecifications ng-star-inserted\" id=\"Pdp-specifications\"\u003e\n\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eEspecificaciones técnicas del producto\u003c\/h2\u003e\n\n\u003ctable class=\"PartSpecifications-list SimpleAccordion is-active\" role=\"presentation\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Número de Clasificación de Control de Exportaciones\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (EE. UU.)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Código del Sistema Armonizado de Designación y Codificación de Mercancías\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003eAutomotriz\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDesconocido\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDesconocido\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El tipo de procesador describe el tipo de fabricación a la que pertenece el procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"La familia de procesadores describe el grupo de procesadores al que pertenece el procesador, que cuenta con características y aplicaciones comunes específicas.\"\u003e\u003cspan aria-hidden=\"true\"\u003eFamilia de procesadores\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El número de procesador describe el número de pieza del procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúmero de procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Los núcleos del procesador describen la categoría de núcleos a la que pertenece el procesador.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúcleos del procesador\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 núcleos\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El factor de forma describe el tamaño, la configuración o la disposición física de un objeto de hardware informático.\"\u003e\u003cspan aria-hidden=\"true\"\u003eFactor de forma\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003ePequeño\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El soporte JTAG describe el estándar IEEE para la tecnología de escaneo de límites. Un estándar que especifica cómo controlar y supervisar los pines de dispositivos compatibles en una placa de circuito impreso.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSoporte JTAG\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eNo\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El número de memorias del sistema describe la cantidad de memorias que admite el sistema.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNúmero de memorias del sistema\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El tipo de memoria del sistema describe una forma de almacenamiento de datos informáticos. Un dispositivo de acceso aleatorio permite acceder a los datos almacenados en casi el mismo tiempo para cualquier ubicación de almacenamiento, por lo que se puede acceder a los datos rápidamente en cualquier orden aleatorio.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de RAM\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El tamaño máximo de la memoria del sistema describe el tamaño máximo de memoria que admite el sistema.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTamaño máximo de memoria del sistema (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e16G\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"UART es una interfaz que convierte bytes paralelos de la CPU en bits serie para la transmisión, y viceversa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USART es un receptor\/transmisor síncrono\/asíncrono universal, es decir, una UART que también puede comunicarse de forma síncrona.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SPI es una interfaz serie síncrona full-duplex para conectar dispositivos externos de ancho de banda bajo\/medio utilizando cuatro cables.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"I2C es un bus serie bidireccional de dos cables que proporciona un enlace de comunicación entre circuitos integrados (IC).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"CAN describe el protocolo Controller Area Network (CAN), que es un protocolo de comunicación serie desarrollado originalmente por Robert Bosch para su uso en redes de comunicación serie en vehículos.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USB es un puerto serie universal, que es una interfaz plug-and-play entre una computadora y dispositivos adicionales, como reproductores multimedia, teclados, teléfonos, cámaras digitales, escáneres, unidades flash, joysticks e impresoras. Admite conexión en caliente, lo que significa que se puede agregar un nuevo dispositivo a su computadora sin tener que agregar una tarjeta adaptadora ni tener que apagar la computadora.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e6\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"VGA es un conjunto de conectores eléctricos macho y hembra D-subminiatura de 15 pines que transmite datos desde una computadora a un dispositivo de salida.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SATA es una interfaz de hardware estándar para conectar discos duros y unidades de CD\/DVD a una computadora. SATA es la versión serie de la interfaz anterior Parallel ATA (PATA).\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PATA es la tecnología original de disco duro IDE que utiliza un canal de datos paralelo desde la placa base hasta las unidades de disco.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"GPIO es una interfaz genérica cuyo comportamiento (incluyendo si es un pin de entrada o salida) puede ser controlado (programado) por el usuario en tiempo de ejecución.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Las interfaces de audio son interfaces que toman todas las diversas entradas de audio y las convierten en datos de audio digital.\"\u003e\u003cspan aria-hidden=\"true\"\u003eInterfaces de audio\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Video In. Tooltip: Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Video In es un puerto gráfico que permite a las tarjetas de video tener una transferencia de video analógico de entrada a través de un conector mini-DIN.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEntrada de video\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSí\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS485. Tooltip: RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS485 es un estándar de la Alianza de Industrias Electrónicas (EIA) para comunicaciones multipunto. Admite varios tipos de conectores, incluidos DB-9 y DB-37. RS-485 es similar a RS-422 pero puede admitir más nodos por línea porque utiliza controladores y receptores de menor impedancia.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS232. Tooltip: RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS232 es un estándar TIA\/EIA para transmisión serie entre computadoras y dispositivos periféricos (módem, mouse, etc.). Usando un conector DB-25 de 25 pines o DB-9 de 9 pines, su limitación normal de cable de 50 pies puede extenderse a varios cientos de pies con cable de alta calidad.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS422. Tooltip: RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS422 es un estándar TIA\/EIA para interfaces serie que extiende las distancias y velocidades más allá de RS-232. RS-422 es un sistema equilibrado que requiere más pares de cables que su contraparte RS-423 y está diseñado para su uso en líneas multipunto. Ambos usan un conector de 37 pines definido por RS-449 o un conector de 25 pines definido por RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PCI. Tooltip: PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PCI es un sistema de interconexión entre un microprocesador y dispositivos conectados en el que las ranuras de expansión están muy juntas para un funcionamiento de alta velocidad.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"AGP. Información sobre herramientas: AGP es una especificación de interfaz que permite que los gráficos 3D se muestren rápidamente en computadoras personales ordinarias. AGP está diseñado para transmitir imágenes 3D de forma mucho más rápida y fluida de lo que es posible hoy en día en cualquier computadora que no sea una costosa estación de trabajo gráfica.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"AGP es una especificación de interfaz que permite que los gráficos 3D se muestren rápidamente en computadoras personales ordinarias. AGP está diseñado para transmitir imágenes 3D de forma mucho más rápida y fluida de lo que es posible hoy en día en cualquier computadora que no sea una costosa estación de trabajo gráfica.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Interfaz de pantalla. Información sobre herramientas: La interfaz de pantalla describe el límite a través del cual dos sistemas independientes se encuentran e interactúan o se comunican entre sí.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"La interfaz de pantalla describe el límite a través del cual dos sistemas independientes se encuentran e interactúan o se comunican entre sí.\"\u003e\u003cspan aria-hidden=\"true\"\u003eInterfaz de pantalla\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Sistemas operativos. Información sobre herramientas: Los sistemas operativos describen el programa de software o el conjunto de programas que median el acceso entre dispositivos físicos (como un teclado, ratón, monitor, unidad de disco o conexión de red) y programas de aplicación (como un procesador de textos, un navegador de la World-Wide Web o un cliente de correo electrónico).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Los sistemas operativos describen el programa de software o el conjunto de programas que median el acceso entre dispositivos físicos (como un teclado, ratón, monitor, unidad de disco o conexión de red) y programas de aplicación (como un procesador de textos, un navegador de la World-Wide Web o un cliente de correo electrónico).\"\u003e\u003cspan aria-hidden=\"true\"\u003eSistemas operativos\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Linux. Información sobre herramientas: Linux describe si el dispositivo es compatible con el sistema operativo Linux o no y sus versiones compatibles.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Linux describe si el dispositivo es compatible con el sistema operativo Linux o no y sus versiones compatibles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Aplicación médica. Información sobre herramientas: La aplicación médica describe si el dispositivo puede utilizarse en aplicaciones médicas o no.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"La aplicación médica describe si el dispositivo puede utilizarse en aplicaciones médicas o no.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAplicación médica\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eNo\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Tensión mínima de alimentación operativa (V). Información sobre herramientas: La tensión mínima de alimentación operativa describe la tensión de alimentación mínima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo correspondiente.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"La tensión mínima de alimentación operativa describe la tensión de alimentación mínima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo correspondiente.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTensión mínima de alimentación operativa (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Tensión máxima de alimentación operativa (V). Información sobre herramientas: La tensión máxima de alimentación operativa describe la tensión de alimentación máxima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo correspondiente.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"La tensión máxima de alimentación operativa describe la tensión de alimentación máxima a la que se especifica que un dispositivo funcione de acuerdo con la especificación del dispositivo correspondiente.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTensión máxima de alimentación operativa (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Tipo de disposición de pines. Información sobre herramientas: El tipo de disposición de pines (pinout) describe la referencia cruzada entre los contactos, o pines, de un conector eléctrico o componente electrónico, y sus funciones.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"El tipo de disposición de pines (pinout) describe la referencia cruzada entre los contactos, o pines, de un conector eléctrico o componente electrónico, y sus funciones.\"\u003e\u003cspan aria-hidden=\"true\"\u003eTipo de disposición de pines\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n","brand":"NVIDIA","offers":[{"title":"8GB Module \/ 900-13767-0010-000","offer_id":45188133060925,"sku":"SBC1053-8GB","price":83449.99,"currency_code":"INR","in_stock":true},{"title":"16GB Module \/ 900-13767-0000-000","offer_id":45188133093693,"sku":"SBC1053-16GB","price":123999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/orin_NX_front_module_3dac1c23-03b5-40d4-a7f0-2422127a0f96.jpg?v=1684149669"},{"product_id":"orin-poe","title":"Placa de expansión PoE para NVIDIA Jetson Orin","description":"\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\n\u003ch1 class=\"richTitle\" style=\"text-align: center;\"\u003eMódulo PoE para Jetson Orin\u003c\/h1\u003e\n\n\u003ch3 class=\"richDesc hilitBlock2 round1234\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eCuerpo mini, mayor ahorro de espacio\u003c\/span\u003e\u003c\/h3\u003e\n\n\u003cspan\u003e \u003c\/span\u003e\u003cimg style=\"margin-bottom: 16px; float: none;\" alt=\"Jetson Orin PoE Module, front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-1.jpg\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv\u003e\n\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\n\u003cp\u003eEl\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eJETSON-ORIN-POE-MODULE\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003ees un mini accesorio de alimentación a través de Ethernet (PoE) compatible con 802.3af para el\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Jetson Orin Nano\/NX\u003c\/strong\u003e. Al usar este pequeño módulo y algunos equipos de fuente de alimentación adecuados compatibles con 802.3af, es posible proporcionar tanto conexión de red como fuente de alimentación para su placa Orin con un solo cable Ethernet.\u003c\/p\u003e\n\n\u003cul\u003e\n\n\u003cli\u003eAdecuado para Jetson Orin Nano \/ Jetson Orin NX\u003c\/li\u003e\n\n\u003cli\u003eCapacidad PoE (Power Over Ethernet), compatible con IEEE 802.3af\/at\u003c\/li\u003e\n\n\u003cli\u003eFuente de alimentación conmutada (SMPS) totalmente aislada\u003c\/li\u003e\n\n\u003cli\u003eMás pequeño y flexible con un diseño de componentes más compacto\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\n\u003ch2 class=\"richTitle\"\u003eEspecificaciones\u003c\/h2\u003e\n\n\u003ctable class=\"tabSty-2 mgnTB alignl\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eENTRADA DE ALIMENTACIÓN POE\u003c\/th\u003e\n\n\u003ctd\u003e37V ~ 57V DC de entrada\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eSALIDA DE ALIMENTACIÓN\u003c\/th\u003e\n\n\u003ctd\u003e12V 2.1A DC de salida\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eESTÁNDAR DE RED\u003c\/th\u003e\n\n\u003ctd\u003ecompatible con IEEE 802.3af\/at PoE\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDIMENSIONES\u003c\/th\u003e\n\n\u003ctd\u003e21 × 92mm\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eAdecuado para placas Jetson\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003eAdecuado para Jetson Orin Nano \/ Jetson Orin NX\u003c\/p\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, suitable for Jetson Orin Nano \/ Jetson Orin NX\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cp class=\"note\" style=\"text-align: left;\"\u003e\u003cem\u003eNota: el cabezal de pines PoE de la placa base Orin Nano\/NX debe estar pre-soldado antes de conectar el módulo PoE.\u003c\/em\u003e\u003c\/p\u003e\n\n\u003cdiv\u003e \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePower Over Ethernet (PoE)\u003c\/h2\u003e\n\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eProporcionando tanto conexión de red como alimentación para su Jetson Orin en un solo cable\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, conection demo\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-5.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003e* solo como referencia, la placa Jetson Orin Nano y el Switch NO están incluidos.\u003c\/em\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eQué hay en la placa\u003c\/h2\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, onboard components\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-7.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003eNota: dado que la placa PoE es pequeña y la temperatura del transformador será alta durante el funcionamiento, por favor no toque el transformador y considere agregar una solución de refrigeración adicional al usar este módulo.\u003c\/em\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eDimensiones del esquema\u003c\/h2\u003e\n\n\u003cimg alt=\"Jetson Orin PoE Module, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-size.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eRecursos\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eEl paquete contiene:\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePeso:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.014 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"std\"\u003e\n\n\u003col\u003e\n\n\u003cli\u003eJETSON-ORIN-POE-MODULE x1\u003c\/li\u003e\n\n\u003cli\u003eCabezal de pines macho de 40 pines x1\u003c\/li\u003e\n\n\u003cli\u003ePaquete de tornillos x1\u003c\/li\u003e\n\n\u003cli\u003eMini llave de vaso cruzada x1\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-pack.jpg\" alt=\"JETSON-ORIN-POE-MODULE\"\u003e\n\n\u003c\/div\u003e\n\u003c!----\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":48968202387773,"sku":"WVSH0461","price":1499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-poe-module-1.jpg?v=1718675728"},{"product_id":"agx-orin-32gb-h01","title":"Kit Jetson AGX Orin 32GB H01 con módulo Jetson AGX Orin 32GB, 200 TOPs","description":"\u003cdiv class=\"relative\" id=\"product_info_970a857b53932\"\u003e\n\n\u003cdiv class=\"html_content_2981\"\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eEl Jetson AGX Orin 32GB H01 Kit es un kit inteligente, potente y compacto, diseñado para llevar hasta \u003cstrong\u003e200 TOPS\u003c\/strong\u003e de rendimiento de IA moderna al borde, lo que ofrece hasta \u003cstrong\u003e10 veces el rendimiento del Jetson Xavier NX\u003c\/strong\u003e y hasta \u003cstrong\u003e6 veces el rendimiento del Jetson AGX Xavier\u003c\/strong\u003e. Al combinar la arquitectura de GPU NVIDIA Ampere™ con capacidad de operación de 64 bits, el AGX Orin integra procesamiento avanzado de vídeo e imagen multifunción y aceleradores de aprendizaje profundo (Deep Learning) de NVIDIA.\u003c\/p\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eEl sistema completo incluye un módulo de producción Jetson AGX Orin™, un disipador de calor con ventilador de refrigeración, una carcasa y un adaptador de corriente, constituyendo una alternativa al Jetson AGX Orin Dev Kit. Cuenta con una placa base (carrier board) que incluye PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, Wi-Fi 2.4\/5GHz, Bluetooth, MIPI CSI-2 de 16 carriles y cabezal de 40 pines. El Jetson AGX Orin 32GB H01 Kit viene con Jetpack 5.0.2 preinstalado, simplifica el desarrollo y es adecuado para la implementación por parte de proveedores de soluciones de IA en el borde que trabajan en análisis de video, detección de objetos, procesamiento de lenguaje natural, imágenes médicas y robótica en industrias como ciudades inteligentes, seguridad, automatización industrial y fábricas inteligentes.\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eCaracterísticas\u003c\/h2\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cul\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\n\u003cstrong\u003eBrillante rendimiento de IA para producción:\u003c\/strong\u003e procesamiento en el dispositivo con hasta 200 TOPS de rendimiento de IA, con bajo consumo de energía y baja latencia.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\n\u003cstrong\u003eDispositivo de IA en el borde del tamaño de la mano:\u003c\/strong\u003e tamaño compacto de 107mm x 106.4mm x 70.5mm, incluye el módulo de producción Jetson AGX Orin™, un disipador de calor con ventilador de refrigeración, carcasa y un adaptador de corriente.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\n\u003cstrong\u003eExpandible con E\/S completas:\u003c\/strong\u003e PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, Wi-Fi 2.4\/5GHz, Bluetooth, MIPI CSI-2 de 16 carriles, cabezal de 40 pines.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\n\u003cstrong\u003eAcelere la llegada de su solución al mercado:\u003c\/strong\u003e JetPack 5.0.2 preinstalado, Linux OS BSP, compatibilidad con software Jetson y los principales marcos y plataformas de software de IA.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescripción\u003c\/h2\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\n\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eCon abundantes módulos de extensión, periféricos industriales y gestión térmica, el Jetson AGX Orin 32GB H01 Kit está listo para ayudarle a acelerar y escalar su producto de IA de próxima generación, implementando modelos DNN populares y marcos de ML en el borde, con un rendimiento elevado para tareas como clasificación y detección de objetos en tiempo real, estimación de pose, segmentación semántica y procesamiento de lenguaje natural (NLP).\u003c\/p\u003e\n\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eEn Seeed Studio, encontrará todo lo necesario para trabajar con la plataforma NVIDIA Jetson: kits de desarrollo oficiales de NVIDIA Jetson, placas base diseñadas por Seeed, dispositivos de borde y accesorios.\u003c\/p\u003e\n\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHemos preparado abundantes \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\" target=\"_blank\"\u003eguías\u003c\/a\u003e para comenzar a utilizar NVIDIA Jetson con los principales marcos y software de IA. Por ejemplo, con \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream y TensorRT\u003c\/a\u003e, los desarrolladores pueden implementar modelos YOLOv5 personalizados en Jetson AGX Orin.\u003c\/p\u003e\n\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eHerramientas de desarrollo\u003c\/h2\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eJetpack preinstalado para un desarrollo rápido e integración de IA en el borde\u003c\/h3\u003e\n\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eEl stack de software Jetson\u003c\/a\u003e comienza con el SDK NVIDIA JetPack™, que proporciona un entorno de desarrollo completo e incluye bibliotecas aceleradas CUDA-X y otras tecnologías de NVIDIA para impulsar su desarrollo. JetPack incluye el paquete de controladores de Linux para Jetson, que proporciona el kernel de Linux, cargador de arranque, controladores NVIDIA, utilidades de flasheo, sistema de archivos de muestra y cadenas de herramientas para la plataforma Jetson. También incluye funciones de seguridad, capacidades de actualización inalámbrica (OTA) y mucho más.\u003c\/p\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003cimg data-original=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" height=\"950\" width=\"950\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/image8.png\" style=\"float: none;\"\u003e\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h3\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eVisión artificial y aprendizaje automático embebido\u003c\/h3\u003e\n\n\u003cul style=\"text-align: left;\"\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" target=\"_blank\"\u003eNVIDIA DeepStream SDK\u003c\/a\u003e ofrece un kit de herramientas completo de análisis de streaming para el procesamiento multisensor basado en IA y la comprensión de video e imagen en Jetson.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" target=\"_blank\"\u003eNVIDIA TAO toolkit\u003c\/a\u003e, construido sobre TensorFlow y PyTorch, es una versión de código bajo del marco NVIDIA TAO que acelera el entrenamiento de modelos.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" target=\"_blank\"\u003ealwaysAI\u003c\/a\u003e: cree, entrene e implemente aplicaciones de visión artificial directamente en el borde del reComputer. Obtenga acceso gratuito a más de 100 modelos de visión artificial preentrenados y entrene modelos de IA personalizados en la nube con unos pocos clics a través de una suscripción empresarial. Consulte nuestra guía \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\" target=\"_blank\"\u003ewiki\u003c\/a\u003e para empezar con alwaysAI.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/www.edgeimpulse.com\/\" target=\"_blank\"\u003eEdge Impulse\u003c\/a\u003e: el pipeline de aprendizaje automático embebido más sencillo para implementar aplicaciones de audio, clasificación y detección de objetos en el borde sin dependencias en la nube.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" target=\"_blank\"\u003eRoboflow\u003c\/a\u003e proporciona herramientas para convertir imágenes crudas en un modelo de visión artificial personalizado de detección y clasificación de objetos, y desplegar el modelo para su uso en aplicaciones. Consulte la \u003ca rel=\"noopener\" href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" target=\"_blank\"\u003edocumentación completa\u003c\/a\u003e para el despliegue en NVIDIA Jetson con Roboflow.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/ultralytics\/yolov5\" target=\"_blank\"\u003eYOLOv5 de Ultralytics\u003c\/a\u003e: utilice el aprendizaje por transferencia (transfer learning) para realizar detección de objetos con pocos datos mediante YOLOv5, que solo requiere unas pocas muestras de entrenamiento. Consulte nuestros tutoriales paso a paso en la \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003ewiki\u003c\/a\u003e.\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003ca rel=\"noopener\" href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" target=\"_blank\"\u003eDeci\u003c\/a\u003e: optimice sus modelos en NVIDIA Jetson Nano. Consulte el \u003ca rel=\"noopener\" href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e de Deci sobre evaluación comparativa y optimización automática del rendimiento en tiempo de ejecución en dispositivos NVIDIA Jetson Nano y Xavier NX.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eIA de voz\u003c\/h3\u003e\n\n\u003cul style=\"text-align: left;\"\u003e\n\n\u003cli\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e es un SDK acelerado por GPU para crear aplicaciones de IA de voz personalizadas para su caso de uso y que ofrecen rendimiento en tiempo real.\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"document\"\u003eGestión remota de flotas\u003c\/h3\u003e\n\n\u003cp style=\"text-align: left;\" dir=\"ltr\"\u003eHabilite la gestión segura de OTA y dispositivos remotos con \u003ca rel=\"noopener\" href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Desbloquee 90 días de prueba gratuita con el código H4U-NMW-CPK.\u003c\/p\u003e\n\n\u003ch3 style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eRobótica y desarrollo ROS\u003c\/h3\u003e\n\n\u003cul\u003e\n\n\u003cli style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eNVIDIA Isaac ROS GEMs son paquetes acelerados por hardware que facilitan a los desarrolladores de ROS la creación de soluciones de alto rendimiento en hardware NVIDIA. Obtenga más información sobre \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\"\u003eHerramientas de desarrollo de NVIDIA\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n\n\u003ca href=\"https:\/\/www.cogniteam.com\/nimbus\"\u003eCogniteam Nimbus\u003c\/a\u003e es una solución basada en la nube que permite a los desarrolladores gestionar robots autónomos de forma más eficaz. La plataforma Nimbus es compatible con NVIDIA® Jetson™, ISAAC SDK y GEMs desde el primer momento. Consulte nuestro \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/21\/webinar-connect-your-ros-project-to-the-cloud-with-nimbus\/\"\u003ewebinar\u003c\/a\u003e sobre cómo conectar su proyecto ROS a la nube con Nimbus.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e \u003c\/p\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eComparativa entre el Kit Jetson AGX Orin 32GB H01 y el Kit de desarrollador AGX Orin\u003c\/h2\u003e\n\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\n\u003ctable class=\"p_2981_table\" cellpadding=\"1\"\u003e\n\n\u003ccolgroup\u003e \u003ccol width=\"117px\"\u003e \u003ccol width=\"227px\"\u003e \u003ccol width=\"250px\"\u003e \u003c\/colgroup\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eEspecificaciones\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eJetson AGX Orin 32GB H01 Kit\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/thinkrobotics.com\/products\/nvidia-jetson-agx-orin-developer-kit-64gb\" target=\"_blank\"\u003eJetson AGX Orin Developer Kit\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRendimiento de IA\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e200 TOPS\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e275 TOPS\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eGPU\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eGPU NVIDIA Ampere de 1792 núcleos con 56 núcleos Tensor\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eArquitectura NVIDIA Ampere con 2048 núcleos NVIDIA® CUDA® y 64 núcleos Tensor\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCPU\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eCPU NVIDIA Arm® Cortex A78AE v8.2 de 8 núcleos y 64 bits, 2MB L2 + 4MB L3\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCPU Arm® Cortex®-A78AE v8.2 de 12 núcleos y 64 bits, 3MB L2 + 6MB L3\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eMemoria\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e32 GB LPDDR5 de 256 bits a 204.8 GB\/s\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAcelerador DL\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2 x NVDLA v2.0\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAcelerador de visión\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1 x PVA v2.0\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAlmacenamiento\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e64GB eMMC 5.1\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCodificador de video\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1x 4K60 | 3x 4K30 | 6x 1080p60 | 12x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDecodificador de video\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1x 8K30 | 2x 4K60 | 4x 4K30 | 9x 1080p60| 18x 1080p30 (H.265) 1x 4K60 | 2x 4K30 | 5x 1080p60 | 11x 1080p30 (H.264)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60| 24x 1080p30 (H.265)\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePantalla\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* HDMI 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* DisplayPort 1.4a (+MST)\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCámara\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* Conector MIPI CSI-2 de 16 carriles\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRedes\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* GbE\u003c\/strong\u003e\u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* 10GbE\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 10GbE\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eUSB\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e2x USB 3.2 Tipo-A (USB 2.0 integrado), 1x USB 3.2 Tipo-C (USB 2.0 integrado)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2x USB 3.2 Gen2 Tipo-C con soporte USB-PD\u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e4x USB 3.2 Gen2 Tipo-A\u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eUSB 2.0 Micro-B\u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eM.2 Key M\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* M.2 Key M\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eM.2 Key E\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* M.2 Key E (WIFI+BT preinstalado: 8265.NGWMG.NV 949399)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-center pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVentilador\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* Ventilador de 4 pines (5V PWM)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* Ventilador de 4 pines\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRanura para tarjeta microSD\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1 * Ranura para tarjeta microSD\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eConector de audio\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* Conector de audio de 3.5mm\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-center pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRTC\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRTC de 2 pines\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRS485\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* RS485 (paso de 3P 1.5mm)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eRS232\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e1* RS232 (paso de 3P 1.5mm)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\/\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eOtros\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eCabezal de 40 pines, 1* bus SPI (nivel de +3.3V), 6* GPIO (nivel de +3.3V), 1x CAN, botones de recuperación forzada (Force Recovery), reinicio y encendido\/apagado, salida de alimentación de 2 pines de 12V\/2A\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCabezal de 40 pines, cabezal de automatización de 12 pines, cabezal de panel de audio de 10 pines, cabezal JTAG de 10 pines, botones de recuperación forzada (Force Recovery) y reinicio\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eFuente de alimentación\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003eEntrada de CC de +9---+20V a 8A\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e19V vía USB Tipo-C\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDimensiones mecánicas\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e107mm x 106.4mm x 70.5mm\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e110mm x 110mm x 71.65mm\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd width=\"117\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTemperatura operativa\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"227\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cstrong\u003e-25 ⁰C a +70 ⁰C\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd width=\"250\" valign=\"\" align=\"\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e0 ⁰C a 35 ⁰C\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\n\n\u003c\/div\u003e\n\n\u003cbr\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eResumen del hardware\u003c\/h2\u003e\n\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePlaca portadora de referencia rica en interfaces\u003c\/h3\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eEl kit Jetson AGX Orin 32GB H01 es un kit de alto rendimiento y rico en interfaces, que proporciona PCIe X16, 1x 1GbE, 1x 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M y M.2 Key E, Wi-Fi de 2.4\/5GHz, Bluetooth, MIPI CSI-2 de 16 carriles, UART, cabezal de 40 pines y otras abundantes interfaces periféricas.\u003c\/p\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAproveche el factor de forma pequeño, las interfaces ricas en sensores y el alto rendimiento para dotar de nuevas capacidades a todos sus sistemas de IA embebida y edge.\u003c\/p\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e\u003cimg height=\"444\" width=\"950\" src=\"https:\/\/wdcdn.qpic.cn\/MTMxMDI3MDEwNTAxNTUxMDk_255393_5HLQ4e4U98vUwzeP_1673419554?w=1280\u0026amp;h=945.6512455516014\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan class=\"image-wrapper\"\u003e\u003cimg height=\"514\" width=\"487\" src=\"https:\/\/wdcdn.qpic.cn\/MTMxMDI3MDEwNTAxNTUxMDk_492681_ZONmnIe8SsiuTMst_1673341714?w=815\u0026amp;h=861\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv class=\"tips\"\u003e\n\n\u003cdiv class=\"right-desc\"\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cimg width=\"800\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/7_1_-114110207-Jetson-AGX-Orin-32GB-H01-Kit-size.jpg\"\u003e\u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eLista de piezas\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\n\u003ctable class=\"p_2981_table\" border=\"1\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eJetson AGX Orin 32GB\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd\u003e×1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePlaca base (carrier board) de Seeed\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd\u003e×1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDisipador de calor de aluminio con ventilador\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd\u003e×1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCarcasa de aluminio\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd\u003e×1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAdaptador de corriente de 19V\/4.74A (conector cilíndrico 5.5\/2.5mm)\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd\u003e×1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDocumentos\u003c\/h2\u003e\n\n\u003cdiv class=\"tips\"\u003e\n\n\u003cdiv class=\"right-desc\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003cdiv class=\"relative\" id=\"product_info_d207d4b02efa4\"\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"html_content_2981\"\u003e\n\n\u003cdiv class=\"documents_list\"\u003e\n\n\u003cul\u003e\n\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Jetson-AGX-Orin-32GB-H01-Kit-Datasheet.pdf\" target=\"_blank\"\u003eHoja de datos del kit Jetson AGX Orin 32GB H01.pdf\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eComparativa de dispositivos NVIDIA Jetson y placas base.pdf\u003c\/a\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":49842836078909,"sku":"SBC1119","price":223549.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/1-114110207-jetson-agx-orin-32gb-h01-kit-45fotn_1.jpg?v=1737739550"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition","title":"RTX PRO 6000 Blackwell Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003ePowering the next era of AI.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-workstation-rtx-pro-6000-ari.jpg?v=1755492118\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eThe Ultimate AI and Graphics Performance\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created redefining performance and capability for professionals. Dominate the most advanced models and tackle the most demanding creative workflows with unmatched AI processing power. Built on the groundbreaking NVIDIA Blackwell architecture and equipped with 96GB of ultra-fast GDDR7 memory, the RTX PRO 6000 delivers unparalleled speed, precision, and efficiency, empowering you to achieve the impossible.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe width=\"943\" height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/P0BC2qZyvAM\" title=\"NVIDIA RTX PRO 6000 Blackwell Workstation Edition\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.8784%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.1216%; text-align: center;\"\u003e4000 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.8784%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.1216%;\"\u003e380 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.8784%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.1216%;\"\u003e125 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\" colspan=\"2\"\u003e\n\u003cem\u003eNotes:\u003c\/em\u003e As specified by manufacturer.  TOPS = Tera Operations Per Second.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_18-8-2025_101130_www.nvidia.com.jpg?v=1755492099\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 47.0774%;\"\u003e600 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-blackwell-rtx-pro-6000-workstation-edition-nvidia-us-3519208-web.pdf?v=1755491687\" title=\"Datasheet RTX6000\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/em\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition Professional Graphics Card\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50631936180541,"sku":"SBC5002","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Workstation-Edition-Front.png?v=1755493901"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition-copy","title":"RTX PRO 6000 Blackwell Server Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Server Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12323_www.nvidia.com.jpg?v=1757399593\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBuilt on the groundbreaking NVIDIA Blackwell architecture, the NVIDIA RTX PRO™ 6000 Blackwell Server Edition delivers a powerful combination of AI and visual computing capabilities to accelerate enterprise data center workloads. Equipped with 96GB of ultra-fast GDDR7 memory, the NVIDIA RTX PRO 6000 Blackwell provides unparalleled performance and flexibility to accelerate a broad range of use cases - from agentic AI, physical AI, and scientific computing to rendering, 3D graphics, and video.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"NVIDIA RTX PRO 6000 Blackwell Server Edition\" src=\"https:\/\/www.youtube.com\/embed\/xF1kkf7zXRA\" height=\"539\" width=\"943\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12254_www.nvidia.com.jpg?v=1757399594\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable cellpadding=\"6\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eCUDA Parallel Processing cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e752 (5th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e188 (4th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSingle-Precision Performance (FP32)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e120 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePeak FP4 AI PFLOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e355 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1597 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 600W (Configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 4 MIGs @ 24GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVENC | NVDEC | JPEG\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x | 4x | 4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eConfidential Compute\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSecure Boot with Root of Trust\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4.4\" (H) x 10.5\" (L), dual slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cb\u003eNote\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003ci\u003eAll specifications are preliminary.\u003c\/i\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/rtx-pro-6000-blackwell-server-edition-data-sheet.pdf?v=1757399342\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Server Edition\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50720693551421,"sku":"SBC5003","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-rtx-pro-6000-bw-server-edition-og.jpg?v=1757485570"},{"product_id":"rtx-pro-6000-blackwell-server-edition-copy","title":"RTX PRO 6000 Blackwell Max-Q Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePowering the next era of AI. \u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11643_www.nvidia.com_4163b5c5-1060-435c-8f94-10ee4b31a3eb.jpg?v=1757482591\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eScalable Workstation Performance \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eExperience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition. Engineered to accelerate your most demanding workflows, it delivers unparalleled AI and neural rendering capabilities backed by 96GB of ultra-fast GDDR7 memory, in a density-optimized design. Seamlessly scale from one to four GPUs, multiplying your compute power and enabling you to pioneer new frontiers in AI, data science, and graphics.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.9369%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.0631%; text-align: center;\"\u003e3511 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.9369%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.0631%;\"\u003e333 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.9369%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.0631%;\"\u003e110 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\"\u003e\n\u003cem\u003e\u003c\/em\u003e\n\u003cp\u003e1. Peak rates based on GPU Boost Clock.   |   2. Theoretical FP4 TOPS using sparsity.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1293.06px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 448.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate local LLMs, prototype new AI models, and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 435.875px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMax-Q\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003ePacking a 300W punch into an ultra-efficient design, the RTX PRO 6000 Max-Q redefines high-density workstation performance. Optimized for energy and space efficiency, it enables up to 4 GPUs in a single system, delivering unmatched scalability for AI training, 3D rendering, and complex simulations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11726_www.nvidia.com_44356250-de63-48c2-b2c2-734d143d9180.jpg?v=1757483235\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications \u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3511\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96GB GDDR7 with error-correcting code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSystem Requirements\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left; width: 100%;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eCategory\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"6\" style=\"text-align: center;\"\u003e\u003cb\u003eSystem Requirements\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eIntel Core i5, i7, i9, or Xeon processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAMD Ryzen or Epyc class processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16 (preferred) expansion slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSystem memory ≥ GPU memory (2× GPU memory recommended)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInternet connection for driver installation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplayPort 2.1 (preferred), HDMI®, or DVI-compatible display(s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"8\" style=\"text-align: center;\"\u003e\u003cb\u003eSupported Platforms\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 11 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 10 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRed Hat Enterprise Linux 7.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSUSE Linux Enterprise Desktop 15.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFedora 31\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUbuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFreeBSD 11.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSolaris 11\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-3519233.pdf?v=1757482383\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition Professional Graphics Card\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50726512525629,"sku":"SBC5001","price":1828999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Max-Q-Workstation-Edition-3QTR-Top-Left-Icons.png?v=1757483154"},{"product_id":"nvidia-jetson-agx-thor-developer-kit","title":"NVIDIA Jetson AGX Thor Developer Kit","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eThe ultimate platform for physical AI and robotics.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/AGX-THOR2_jpg_effa758b-309d-491a-a606-721f74489fed.webp?v=1759570665\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eA Compact Powerhouse for Advanced AI and Robotics\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA Jetson Thor series modules give you the ultimate platform for physical AI and robotics, delivering up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. They deliver over 7.5x higher AI compute than NVIDIA AGX Orin, with 3.5x better energy efficiency, enabling real-time multimodal perception, decision-making, and control, all for accelerating the development of intelligent, responsive, and highly sophisticated robotic systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature\u003c\/h2\u003e\n\u003ctable cellpadding=\"10\" cellspacing=\"0\" border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eExtreme AI Performance for Robotics\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePowered by Jetson T5000 module with a Blackwell GPU (2560 cores, 96 Tensor Cores), delivering up to \u003cstrong\u003e2070 FP4 \/ 1035 FP8 TFLOPS \u003c\/strong\u003eIdeal for running generative AI models like LLMs, VLA (e.g., NVIDIA® Isaac™ GR00T N), ViT, and more.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eTransformer \u0026amp; Multimodal Optimization\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eBuilt-in Transformer Engine and MIG (Multi-Instance GPU) support with \u003cstrong\u003e128 GB LPDDR5X (273 GB\/s)\u003c\/strong\u003e memory\u003cbr\u003eEnables efficient training and inference of transformer and multimodal models at the edge.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eReal-Time Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eEquipped with a \u003cstrong\u003e14-core Arm® Neoverse®-V3AE CPU\u003c\/strong\u003e\u003cbr\u003eDesigned for fast, deterministic real-time control in robotic applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eSensor \u0026amp; Network Integration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupports \u003cstrong\u003eup to 4× 25GbE\u003c\/strong\u003e high-speed connections\u003cbr\u003e140W power supply, and versatile I\/O including HDMI, DP, USB 3.2 \/ USB-C, CAN, and GbE Ideal for high-bandwidth, low-latency real-time sensor fusion and communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-kit.webp?v=1759562965\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBenefits\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003eBlackwell GPU, Sensor Processing, and Robotic AI Software Stack\u003c\/h4\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 547.699px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 318.068px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 318.068px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-foundational-model-cognition.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eSupercomputer for Humanoids\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccelerate generative AI and large transformer models at the edge with the 2070 FP4 TFLOPS Blackwell GPU.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 318.068px;\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-speed.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Speed Sensor Processing\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIngest high-speed sensor data for real-time performance with 4x 25 GbE networking, a camera offload engine, and a Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 229.631px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 229.631px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-robot-mimic.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eRobotic AI Software\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDiscover a solution designed for humanoid robotics and physical AI applications, powered by the NVIDIA Isaac™ platform and GR00T foundational models.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 229.631px;\"\u003e\n\u003cdiv style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-containerized-security.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eRobust Security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDeliver end-to-end safety and security across the compute platform, AI models, and the entire edge-to-cloud pipeline.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable cellpadding=\"8\" cellspacing=\"0\" border=\"1\" style=\"width: 100.065%; height: 1459.35px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003cth style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003eJetson AGX Thor Developer Kit\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003eJetson T5000\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003eJetson T4000\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e1200 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e1536-core Blackwell GPU with 64 Tensor Cores\u003cbr\u003eMIG with 6 TPCs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1.57 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e12-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e2.6 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1× PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e64 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 78.4091px;\"\u003e1 TB NVMe M.2 Key M \u003cspan\u003eSlot\u003c\/span\u003e\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e\n\u003cspan\u003eSupports NVMe through PCIe\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eSupports SSD through USB3.2\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 6× 4Kp60 (H.265), 12× 4Kp30 (H.265)\u003cbr\u003e• 24× 1080p60 (H.265), 50× 1080p30 (H.265)\u003cbr\u003e• 48× 1080p30 (H.264), 6× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 4× 8Kp30, 10× 4Kp60, 22× 4Kp30 (H.265)\u003cbr\u003e• 46× 1080p60, 92× 1080p30 (H.265)\u003cbr\u003e• 82× 1080p30, 4× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 208.409px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 208.409px;\"\u003e\u003cstrong\u003eCamera Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 208.409px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eJetson AGX Thor Developer Kit\u003cbr\u003eJetson T5000\u003c\/strong\u003e\u003cbr\u003e• HSB camera via QSFP\u003cbr\u003e• USB camera\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJetson T4000\u003c\/strong\u003e\u003cbr\u003e• Up to 20 cameras via HSB\u003cbr\u003e• Up to 6 via 16x lanes MIPI CSI-2\u003cbr\u003e• Up to 32 using Virtual Channels\u003cbr\u003e• C-PHY 2.1 (10.25 Gbps), D-PHY 2.1 (40 Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 98.0114px;\"\u003e• M.2 Key M (x4 Gen5), M.2 Key E (x1 Gen5)\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 98.0114px;\"\u003e• Up to Gen5 (x8 lanes)\u003cbr\u003e• Root Port: C1 (x1), C3 (x2)\u003cbr\u003e• Root\/Endpoint: C2 (x1), C4 (x8), C5 (x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 58.8068px;\"\u003e• 2× USB-A (3.2 Gen2)\u003cbr\u003e• 2× USB-C (3.1)\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 58.8068px;\"\u003e• xHCI host controller\u003cbr\u003e• 3× USB 3.2\u003cbr\u003e• 4× USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× 5 GbE RJ45\u003cbr\u003e1× QSFP28 (4× 25 GbE)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e4× 25 GbE\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e3× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× HDMI 2.0b\u003cbr\u003e1× DisplayPort 1.4a\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 39.2045px;\"\u003e4× HDMI 2.1 shared\u003cbr\u003eVESA DP 1.4a (HBR2, MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 310.028px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 310.028px;\"\u003e\u003cstrong\u003eOther I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 310.028px;\"\u003e\n\u003cp\u003e• QSFP connector\u003cbr\u003e• M.2 Key E: WLAN\/BT, PCIe, USB2.0, UART, I2C, I2S\u003cbr\u003e• M.2 Key M: NVMe\u003cbr\u003e• PCIe x4, x2 lanes, I2C\u003cbr\u003e• 2× CAN headers, automation headers, LED, JTAG\u003cbr\u003e• 1x fan connector —12V, PWM, and Tach\u003cbr\u003eAudio panel header (2x 5-pin)\u003cbr\u003eMicrofit power jack\u003cbr\u003eRTC backup battery connector 2-pin\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART, 4× CAN\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 19.6023px;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 19.6023px;\"\u003e40 W – 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 98.0114px;\"\u003e243.19 mm x 112.40 mm x 56.88 mm\u003cbr\u003eThermal Transfer Plate (TTP) and optional fan or heat sink\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 98.0114px;\"\u003e100 mm x 87 mm\u003cbr\u003e699-pin B2B connector\u003cbr\u003eIntegrated Thermal Transfer Plate (TTP) with heatpipe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e* \u003c\/span\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e**\u003c\/span\u003e Low-speed I\/O spec is subject to change.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image_app-1.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-2.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-3.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-4.webp?v=1759563171\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGet Started with NVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Jetson Thor AGX Developer Kit delivers unmatched performance and scalability for humanoids and physical AI. This video showcases its key features, specifications, and components, as well as how to power it on and initiate first boot. It also demonstrates some of the latest workflows, including Isaac GR00T N1, Video Search and Summarization (VSS), and NVIDIA Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-thor-technical-brief.pdf?v=1759567474\" target=\"_blank\"\u003e\u003cstrong\u003eRead the Technical Brief\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"Getting Started with the NVIDIA Jetson AGX Thor Developer Kit for Physical AI\" src=\"https:\/\/www.youtube.com\/embed\/iYT2haVIgSM\" height=\"355\" width=\"630\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable width=\"100%\" style=\"width: 100%; height: 28.5938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 28.5938px;\"\u003e\n\u003ctd style=\"width: 66.065%; height: 28.5938px;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"width: 33.574%; text-align: right; height: 28.5938px;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Thor_Datasheet_f01b914b-d1d1-4c72-bfa8-0bb91b97c78d.pdf?v=1759569289\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Includes:\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1 x NVIDIA Jetson AGX Thor Developer Kit\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50814727913789,"sku":"SBC1131","price":622499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-kit-3_1.webp?v=1759568024"},{"product_id":"nvidia-dgx-spark","title":"NVIDIA DGX Spark","description":"\u003cblockquote\u003e\n\u003ch2 style=\"text-align: center;\"\u003eNVIDIA DGX Spark\u003c\/h2\u003e\n\u003c\/blockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003e\u003cstrong\u003eA Grace Blackwell AI supercomputer on your desk.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ePowered by the NVIDIA GB10 Grace Blackwell Superchip, NVIDIA DGX™ Spark delivers one petaFLOP1 of AI performance in a power-efficient, compact form factor. With the NVIDIA AI software stack preinstalled and 128 GB of memory, developers can prototype, fine-tune, and inference the latest generation of reasoning AI models from DeepSeek, Meta, NVIDIA, Google, Qwen and others with up to 200 billion parameters locally.\u003c\/p\u003e\n\u003cblockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eBuy either single or dual with free certified QSFP56 Cable (0.5m). Delivery starts from January 25, 2026 - buy yours today.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/blockquote\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SPARK-FRONT_b0e25269-39ba-404a-a0b0-824871b9fc0a.png?v=1763456331\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003eNVIDIA GPU, CPU, Networking, and AI Software Technologies\u003c\/h3\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 195.938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 97.9688px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px; text-align: center;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gh200-ffffff_1.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA GB10 Superchip\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eExperience up to  1 petaFLOP  of AI performance at FP4 precision with the NVIDIA Grace Blackwell architecture.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px; text-align: center;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-ram-memory-ffffff_1.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e128 GB of Coherent Unified System Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eRun AI development and testing workloads with AI models up to 200 billion parameters at your desktop with a large, unified system memory.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9688px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-cx-7-chip-ffffff_1.svg?v=1763449999\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA ConnectX Networking\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHigh-performance NVIDIA ConnectX™ networking enables the connection of two NVIDIA DGX Spark systems to work with AI models of up to 405 billion parameters.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9688px;\"\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-nim-ffffff_2.svg?v=1763450000\" alt=\"\" width=\"80\" height=\"80\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA AI Software Stack\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eUtilize a full-stack solution for generative AI workloads, encompassing NVIDIA tools, frameworks, libraries, and pre-trained models including NVIDIA NIM.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003eAccelerate All AI Workloads\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eDelivering the power of an AI supercomputer in a desktop-friendly size, NVIDIA DGX Spark is ideal for AI developer, researcher, and data scientist workloads.\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 100%;\" colspan=\"2\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003ePrototyping\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDevelop, test, and validate AI models and applications.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the NVIDIA AI software stack, NVIDIA DGX Spark provides the platform for developers to create, test, and validate AI models and AI-augmented applications and solutions. For final tuning or deployment, conveniently evaluate work for eventual migration to NVIDIA DGX cloud or other NVIDIA accelerated data centers or cloud infrastructures.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eFine-Tuning\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eFine-tune AI models up to 70 billion parameters.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eImprove the performance of pre-trained models by fine-tuning on NVIDIA DGX Spark. With 128GB of unified system memory, fine-tune models up to 70 billion parameters to customize AI models and solutions for specific needs and use cases.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eInference\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eTest, validate, and inference with AI models.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFifth-generation Tensor Cores with support for FP4 deliver up to 1 petaFLOP of AI computing performance, combined with 128GB of system memory, accelerate inference of state-of-the-art AI models to test, validate and deploy from your NVIDIA DGX Spark.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eData Science\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHigh-performance data science at your desk.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark’s combination of 128GB of unified memory and 1 petaFLOP of parallel throughput maximizes performance of large, computationally complex data analytics and machine learning workflows at your desk.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 50%;\"\u003e\n\u003ch4 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(123, 194, 61);\"\u003eEdge Applications\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDevelop edge applications with NVIDIA AI frameworks.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark offers an exceptional platform for developing robotics, smart city, and computer vision solutions. NVIDIA frameworks include Isaac, Metropolis, and Holoscan. These frameworks and tools enable developers to take advantage of the power of NVIDIA DGX Spark to quickly develop edge applications.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eNVIDIA DGX Spark Software\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA DGX Spark software stack accelerates AI and deep learning workloads while streamlining prototyping and development. It provides a scalable foundation for AI initiatives, enabling developers to harness NVIDIA’s powerful infrastructure to drive innovation and achieve transformative results.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/topics\/ai\/dgx-spark\" target=\"_blank\"\u003eLearn More \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSignificant Features and Benefits\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/webp_nvidia_project_digits_exploded_vew.jpg?v=1763450172\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eA Grace Blackwell AI supercomputer on Your Desk\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003e1. Based on NVIDIA Grace Blackwell Architecture\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eAt the heart of DGX Spark is the new GB10 Grace Blackwell Superchip, based on the Grace Blackwell architecture and optimized for a desktop form factor. GB10 features a powerful Blackwell GPU with fifth-generation Tensor Cores and FP4 support, delivering up to 1000 AI TOPS of compute. GB10 also includes a high-performance Grace 20-core Arm CPU to supercharge data preprocessing and orchestration, speeding up model tuning and real-time inferencing. The GB10 Superchip uses the NVLink™-C2C to deliver a CPU+GPU coherent memory model with 5X the bandwidth of PCIe Gen 5.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e2. Work With the Latest Generation of Large-Parameter Generative AI Models\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eWith 128 GB of unified system memory and support for the FP4 data format, DGX Spark can support AI models of up to 200B parameters, enabling AI developers to prototype, fine-tune and inference the latest generation of AI reasoning models—such as DeepSeek R1 distilled versions up to 70 billion parameters—on their desktop. With built-in NVIDIA ConnectX™ network technology, two DGX Spark systems can be connected to work on even larger models such as Llama 3.1 405B.\u003c\/p\u003e\n\u003ch4 style=\"text-align: center;\"\u003e3. Develop Locally, Deploy Anywhere at Scale\u003c\/h4\u003e\n\u003cp style=\"text-align: center;\"\u003eDGX Spark provides developers with a powerful, experimentation ground for prototyping models and AI applications, freeing up valuable compute resources in their cluster environments better suited for training and deploying production models. Leveraging the NVIDIA AI platform software architecture makes it possible for DGX Spark users to seamlessly move their models from their desktop to DGX Cloud or any accelerated cloud or data center infrastructure with virtually no code changes, making it easier than ever to prototype, fine-tune, and iterate.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eArchitecture\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eNVIDIA Grace Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBlackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e20 core Arm, 10 Cortex-X925 + 10 Cortex-A725 Arm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBlackwell Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e5th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eRT Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4th Generation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eTensor Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1 PFLOP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e128 GB LPDDR5x, coherent unified system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e256-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4 TB NVME.M2 with self-encryption\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e4x USB TypeC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x RJ-45 connector, 10 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eNIC\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eConnectX-7 NIC @ 200 Gbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eWi-Fi\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eWiFi 7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eBluetooth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eBT 5.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eAudio-output\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eHDMI multichannel audio output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003ePower Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e240 Watts\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x HDMI 2.1a\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eNVENC | NVDEC\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1x | 1x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eOS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003eNVIDIA DGX™ OS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Dimensions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e150 mm L × 150 mm W × 50.5 mm H\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.1598%;\"\u003eSystem Weight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.8402%;\"\u003e1.2 kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cem\u003e* preliminary specifications, subject to change. 1 Theoretical FP4 TOPS using the sparsity feature.\u003c\/em\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-dgx-spark-gtc25-spring-nvidia-us-3716899-web.pdf?v=1763452160\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 49.1876px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center;\"\u003eNVIDIA® DGX Spark™\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center;\"\u003eQuick Start Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 10px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 10px; text-align: center;\"\u003eSupport Card\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 0px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 0px; text-align: center;\"\u003ePower Supply\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Single Unit","offer_id":51141865308477,"sku":"SBC1142","price":579499.99,"currency_code":"INR","in_stock":true},{"title":"Dual Unit with 200G QSFP56 Cable","offer_id":51141865341245,"sku":"SBC1142-D","price":1168999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SPARK-3QTR-Right.png?v=1763456416"},{"product_id":"thinkrobotics-edge-ai-device-with-nvidia-jetson-orin™-nx-8gb-16gb-module-dual-ethernet","title":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin NX 8GB \/ 16GB module (Dual Ethernet)","description":"\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module (Dual Ethernet)\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, the \u003cmeta charset=\"utf-8\"\u003eWaveshare \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eJetson Orin IO Base B carrier board\u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, and a power adapter installed in a 3D printed carbon fiber case or metal case. The device is preinstalled with JetPack 6.2.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eOn-device processing with up to 100 TOPS AI performance, delivering low power consumption and low latency for production deployments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eHand-size edge AI device (130mm × 120mm × 58.5mm) with NVIDIA Jetson Orin™ NX 16GB\/8GB module, integrated cooling fan with heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eI\/O Interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e3× USB 3.2 Gen2, 1× USB 2.0, DisplayPort (4K), 2× CSI camera ports, 1× Gigabit Ethernet + 1× 2.5 Gigabit Ethernet (dual LAN), M.2 Key E (Wi-Fi), M.2 Key M (NVMe), CAN, and GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003ePre-installed NVIDIA JetPack™ 5.1 on 240GB NVMe SSD, includes Linux BSP with support for Jetson ecosystem, AI frameworks, and software platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eFCC, CE, and RoHS certified.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, this ThinkRobotics device for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWe have prepared abundant \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eguides\u003c\/a\u003e to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/developer.nvidia.com\/tensorrt\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 470.25px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003ePlatform \/ Tool\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 293.906px;\" rowspan=\"7\"\u003e\u003cstrong\u003eComputer Vision \u0026amp; Embedded ML\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eStreaming analytics toolkit for AI-based multi-sensor processing, video, and image understanding on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLow-code framework built on TensorFlow and PyTorch to accelerate AI model training.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to build, train, and deploy computer vision applications with access to 100+ pre-trained models.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003eEmbedded ML pipeline for deploying audio, classification, and object detection applications with minimal cloud dependency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eToolchain for converting images into custom-trained computer vision models and deploying them on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLightweight object detection model supporting transfer learning with minimal training data.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to benchmark and optimize runtime performance of AI models on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eSpeech AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Riva\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eGPU-accelerated SDK for building real-time, customizable speech AI applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRemote Fleet Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eAllxon\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eSecure OTA updates and remote device management platform.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 78.375px;\" rowspan=\"2\"\u003e\u003cstrong\u003eRobot \u0026amp; ROS Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eHardware-accelerated ROS packages for building high-performance robotics applications on NVIDIA platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eCloud-based platform for managing and deploying autonomous robots with Jetson and Isaac support.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDual Ethernet \u0026amp; Interface-rich Carrier Board\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board (Base B) is a high-performance, interface-rich board, providing DisplayPort (4K), Dual Ethernet (1x GbE + 1x 2.5GbE), 3x USB 3.2 Gen 2, 1x USB 2.0, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_49f37cfe-1ace-4c08-bec3-f5ec00312b91.jpg?v=1765009615\" alt=\"\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 333.094px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eModule Socket\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e260-pin SO-DIMM socket for connecting Jetson Orin Nano \/ Orin NX modules\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eControl Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e12-pin header supporting power button, reset button, debug serial port, force recovery, auto power-up enable, and power indicator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003ePower button; DC jack supporting 9V–19V input, compatible with 5.5 × 2.5mm plug\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × 22-pin CSI camera interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eDisplayPort supporting up to 4K output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-A)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e4 × USB Type-A ports: 3 × USB 3.2 Gen2 (up to 10Gbps), 1 × USB 2.0 (up to 480Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e1 × RJ45 2.5G Ethernet port, 1 × RJ45 Gigabit Ethernet port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-C)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eUSB Type-C port for system flashing and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eInternal Headers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e40-pin header; 4-pin PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eInternal USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × USB 2.0 connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eFFC Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e0.5mm pitch, 6-pin FFC connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eNVIDIA Jetson Orin™ NX 8GB \/ 16GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWaveshare Carrier Board (Base B) - Dual Ethernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eOfficial Cooling Fan for Jetson Orin\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003eWaveshare Jetson Orin IO Base B Wiki\u003c\/a\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51132269297981,"sku":"SBC1146-8","price":104649.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51132269330749,"sku":"SBC1146-8A","price":107649.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51132269363517,"sku":"SBC1146-16","price":145199.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51132269396285,"sku":"SBC1146-16A","price":148199.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DSC2605.jpg?v=1774596576"},{"product_id":"waveshare-jetson-orin-nano-nx-carrier-board-with-dual-ethernet","title":"Waveshare Jetson Orin Nano \/ NX Super Dual Ethernet Base Board","description":"\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B\u003c\/h2\u003e\n\u003ch3 class=\"richDesc hilitBlock2\" style=\"text-align: center;\"\u003eWaveshare Jetson Orin Nano \/ NX Base Board\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003e\u003cstrong\u003eBased on the Jetson Orin Nano and Jetson Orin NX modules, onboard dual Ethernet ports\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cspan\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, front view\"\u003e\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003cp class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eCompatible With Orin Module\u003c\/h2\u003e\n\u003cp\u003eSupports connecting to N-VIDIA Jetson Orin Nano module and Jetson Orin NX module\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eConnect To CSI Camera\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e2× 4-Lane CSI Camera Ports For AI Applications Such As Face Recognition, \u003cbr\u003eRoad Sign Recognition And License Plate Recognition\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-5.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Expands 2-Lane CSI camera ports for AI applications\"\u003e\u003cbr\u003e\n\u003cp style=\"text-align: center;\" class=\"note\"\u003e\u003cspan style=\"color: #c20001;\"\u003e\u003cem\u003e* Note: the adapter cable is required for connecting the camera.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e7× USB Ports\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"hilitBlock2 round1234\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003e4 × Type-A + 1 × Type-C + 2 × USB2.0 FFC connectors\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports connecting to more peripherals, USB 3.2 Gen 2 ports for data transmission up to 10Gbps, \u003cbr\u003eType-C port can be used for system burning, and Onboard 2 × USB 2.0 FFC connectors\u003c\/p\u003e\n\u003ch4\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-7.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, 4 × Type-A + 1 × Type-C + 2 × USB2.0 ports\"\u003e\u003c\/h4\u003e\n\u003ch4\u003e \u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e4K High Definition Output\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports DP High-Definition Port\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eColor-Coded 40PIN GPIO Header\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20001;\"\u003eColor-Coded Header Pins To Differentiate IO Resources Such As \u003cbr\u003eI2C, SPI, I2S, UART, GPIO, Etc.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eFlexible Storage And Wireless Expansion\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eOnboard 2× M.2 Key M Ports For Easy Connecting Solid State Drives And 1× M.2 Key E \u003cbr\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eInterface\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003e For Connecting Wireless NIC, Which Can Reduce Cable Connection\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-11.jpg\"\u003e\n\u003cp class=\"note\"\u003e\u003cem\u003e* for reference only, the Solid State Drive and wireless network card are NOT included.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOnboard Resources\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Onboard resource\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-2.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B， Onboard resource (the back)\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ctable height=\"691\" style=\"border-collapse: collapse; width: 81.25%; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e1.\u003c\/strong\u003e 260PIN DO-DIMM socket\u003cbr\u003efor connecting Jetson Orin Nano \/ NX module\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e2.\u003c\/strong\u003e 12PIN header\u003cbr\u003eAdapting pins for power button, reset button, debug serial port, force recovery setting, auto power-up enable and power indicator functions\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e3.\u003c\/strong\u003e Power button\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e4.\u003c\/strong\u003e 2 × 22PIN CSI camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e5.\u003c\/strong\u003e 2 × MIPI CSI 4-lane camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e6.\u003c\/strong\u003e DC power jack\u003cbr\u003eSupports wide range 9V ~ 19V power supply, compatible with 5.5 × 2.5mm male plug\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e7.\u003c\/strong\u003e DisplayPort port\u003cbr\u003eSupports 4K display\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e8.\u003c\/strong\u003e 4 × USB Type-A ports\u003cbr\u003e– 3 × USB 3.2 Gen2 ports, up to 10Gbps data transmission\u003cbr\u003e– 1 × USB 2.0 port, supports 480Mbps data transmission\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e9.\u003c\/strong\u003e RJ45 2.5G Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e10.\u003c\/strong\u003e RJ45 Gigabit Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e11.\u003c\/strong\u003e USB Type-C port\u003cbr\u003efor system burning and data communication\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e12.\u003c\/strong\u003e 40PIN header\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e13.\u003c\/strong\u003e 4PIN PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e14.\u003c\/strong\u003e M.2 Key E\u003cbr\u003efor connecting wireless NIC\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e15.\u003c\/strong\u003e 2 × M.2 Key M\u003cbr\u003efor connecting NVMe solid-state drives\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e16.\u003c\/strong\u003e RTC backup battery header\u003cbr\u003ePH1.25 2P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"richTitle\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\u003cstrong\u003eWiki: \u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON\u003c\/a\u003e\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"bgGrey\"\u003ePackage Content\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWeight:\u003c\/strong\u003e 0.093 kg\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B x1\u003cbr\u003eScrews pack x1\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/brave_screenshot_www.waveshare.com_13.png?v=1769079325\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":51132458008893,"sku":"WVSH0587","price":9499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-io-base-b-1.jpg?v=1769079919"},{"product_id":"nvidia-h200-gpu","title":"NVIDIA H200 NVL Graphic Card 141 GB Passive PCIe","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA H200 NVL Graphic Card \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e900-21010-0040-000\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5X memory increase, large language model (LLM) inference can be accelerated up to 1.7X and HPC applications achieve up to 1.3X more performance over the H100 NVL.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 GPU\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eSupercharging AI and HPC workloads.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200-kv-bb580_440-p_2x_c509abc6-b079-440a-ba94-85a6f42054c2.jpg?v=1765349204\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe GPU for Generative AI and HPC\u003c\/span\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eExperience Next-Level Performance\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 97.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 97.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.3051%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.9X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eLlama2 70B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0454%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.6X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eGPT-3 175B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 32.8025%; height: 97.141px;\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"highlights\" class=\"p-t-75 p-b-75  lap-p-t-75 \n         lap-p-b-75  tab-p-t-45 tab-p-b-45\n          mob-p-t-45 mob-p-b-45  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\" data-in-page-nav-item-index=\"2\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"container-3a785f44cc\" class=\"p-t-30 p-b-0  lap-p-t-30 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0 \n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\"\u003e\n\u003cdiv class=\"general-container nv-flexbox d-col-3 l-col-3 t-col-2 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid\"\u003e\n\u003cdiv id=\"container-df03b36c44\" class=\"p-t-0 p-b-0  lap-p-t-0 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0\n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"nv-text-df620d9d5d\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-center lap-text-center tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e110X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Performance Computing\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHigher Performance With Larger, Faster Memory\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBased on the NVIDIA Hopper™ architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB\/s) —that’s nearly double the capacity of the NVIDIA H100 GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and LLMs, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUnlock Insights With High-Performance LLM Inference\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eIn the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/deep-learning-ai\/solutions\/inference-platform\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eExplore NVIDIA’s AI Inference Platform \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/llm-inference-chart_1.svg?v=1765343362\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 13B: ISL 128, OSL 2K | Throughput | H100 SXM 1x GPU BS 64 | H200 SXM 1x GPU BS 128\u003cbr\u003eGPT-3 175B: ISL 80, OSL 200 | x8 H100 SXM GPUs BS 64 | x8 H200 SXM GPUs BS 128\u003cbr\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSupercharge High-Performance Computing\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eMemory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/high-performance-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About High-Performance Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/high-performance-computing-chart.svg?v=1765343458\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHPC MILC- dataset NERSC Apex Medium | HGX H200 4-GPU | dual Sapphire Rapids 8480\u003cbr\u003eHPC Apps- CP2K: dataset H2O-32-RI-dRPA-96points | GROMACS: dataset STMV | ICON: dataset r2b5 | MILC: dataset NERSC Apex Medium | Chroma: dataset HMC Medium | Quantum Espresso: dataset AUSURF112 | 1x H100 SXM | 1x H200 SXM.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eReduce Energy and TCO\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/sustainable-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About Sustainable Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/energy-tco-chart.svg?v=1765343557\" alt=\"\" style=\"font-size: 0.875rem;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAccelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eEnterprise-Ready: AI Software Streamlines Development and Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL comes with a five-year NVIDIA Enterprise subscription. This subscription includes NVIDIA AI Enterprise to simplify the way you build an enterprise AI-ready platform. H200 accelerates AI development and deployment for production-ready generative AI solutions, including computer vision, speech AI, retrieval augmented generation (RAG), and more. NVIDIA AI Enterprise includes NVIDIA NIM™, a set of easy-to-use microservices designed to speed up enterprise generative AI deployment. Together, deployments have enterprise-grade security, manageability, stability, and support. This results in performance-optimized AI solutions that deliver faster business value and actionable insights.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/activate-license\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eActivate Your NVIDIA AI Enterprise License \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ai-enterprise-kv-bm-af360-p_2x_52a142c2-70d5-4d47-8fd5-b1053843bf42.jpg?v=1765343884\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGraphics memory\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eMemory size 141 GB┃Memory type HBM3e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eVRAM, these days primarily of GDDR type, is a synchronous memory, similar to standard RAM. However, in the case of graphic memory, memory chips with faster throughput and multiple data transfer rates are concerned. The result is a much faster buffering of data that the graphics card or coprocessor calculates and passes to the processor.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA H200 GPU\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 685.808px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 SXM\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 NVL\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP64 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e34 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e30 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP64 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP32 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e989 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e835 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eDecoders\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eConfidential Computing\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eMax TDP\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 700 W (configurable)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 600 W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eMulti-Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 18 GB each\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 16.5 GB each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eSXM\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003ePCIe, dual-slot air-cooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.3724px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eInterconnect\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eNVIDIA NVLink™: 900 GB\/s\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003e2- or 4-way NVLink bridge: 900 GB\/s per GPU\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9818px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eServer Options\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA HGX™ H200 partner systems\u003cbr\u003eNVIDIA-Certified™ systems with 4 or 8 GPUs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA MGX™ H200 NVL partner systems\u003cbr\u003eNVIDIA-Certified™ systems with up to 8 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eNVIDIA AI Enterprise\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eAdd-on\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eDatasheet\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eH200 NVL Product Brief \u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deep-learning-performance-training-inference?ncid=no-ncid\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eData Center Product Performance\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":51148332663101,"sku":"H200","price":2949999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_gxpdmygxpdmygxpd.png?v=1765349919"},{"product_id":"thinkrobotics-jetson-orin-nx-deployment-kit-commercial-version","title":"ThinkRobotics Jetson Orin NX Deployment Kit (Commercial Version)","description":"\u003cdiv class=\"document\"\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module\u003c\/h2\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" style=\"text-align: center;\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board carrier board, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, a power adapter installed in a 3D printed carbon fiber case or a metal case.\u003c\/strong\u003e The device is preinstalled with JetPack 6.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eBrilliant AI performance for production with on-device processing delivering up to 100 TOPS AI performance with low power consumption and low latency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCompact Edge AI Device\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eHand-size edge AI device with compact dimensions of 130mm × 120mm × 58.5mm. Includes NVIDIA Jetson Orin™ NX 16GB production module, cooling fan with heatsink, enclosure, and power adapter. Supports desktop and wall mounting for flexible deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eExpandable I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eExpandable with rich I\/Os (Waveshare SBC2152): 4 × USB 3.2 Type-A, 1 × USB Type-C (system burning), DisplayPort for 4K output, RJ45 Gigabit Ethernet, 2 × 4-Lane CSI, M.2 Key E, 2 × M.2 Key M (for NVMe SSDs), and 40-Pin GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eAccelerate solution deployment with pre-installed JetPack including NVIDIA JetPack™ 5.1 on the bundled 240GB NVMe SSD. Includes Linux OS BSP and supports Jetson software, leading AI frameworks, and development platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eComprehensive certifications including FCC, CE, and RoHS compliance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eWith rich extension modules, industrial peripherals, and thermal management, the Edge AI Device with the Waveshare SBC2152 carrier board is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThe \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/strong\u003e provides almost the same peripheral interfaces, size and thickness as the official Jetson Orin Nano Developer Kit, making it ideal for users to develop and deploy their AI applications.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eGuides and resources are available to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 450.656px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA DeepStream SDK provides a complete streaming analytics toolkit for AI-based multi-sensor processing, enabling video and image understanding on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA TAO Toolkit, built on TensorFlow and PyTorch, offers a low-code framework that accelerates AI model training and optimization for deployment on edge devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003ealwaysAI enables developers to build, train, and deploy computer vision applications directly at the edge of reComputer devices. It provides access to 100+ pre-trained computer vision models and supports cloud-based training of custom AI models through enterprise subscription.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eEdge Impulse provides an embedded machine learning pipeline for deploying audio processing, classification, and object detection applications at the edge with zero dependency on the cloud.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eRoboflow offers tools to convert raw images into custom-trained computer vision models for object detection and classification, and deploy them for use in applications on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eYOLOv5 by Ultralytics supports transfer learning for few-shot object detection, allowing models to be trained using a small number of samples for rapid deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003eDeci provides tools to benchmark and optimize AI model runtime performance on NVIDIA Jetson platforms such as Jetson Nano and Xavier NX.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"document\" style=\"text-align: center;\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003eEnable secure OTA and remote device management with \u003ca href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 215.531px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS GEMs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages designed to help ROS developers build high-performance robotic solutions on NVIDIA hardware. These packages provide optimized algorithms and tools to accelerate perception, navigation, and robotics workflows on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9688px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003eCogniteam Nimbus is a cloud-based platform that enables developers to manage and deploy autonomous robots efficiently. The Nimbus platform supports NVIDIA® Jetson™ devices and NVIDIA ISAAC SDK and GEMs out-of-the-box, allowing seamless integration between robotics applications and cloud infrastructure.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e   \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-IO-BASE-details-13.jpg?v=1773381468\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board for Jetson Orin Nano\/NX provides a comprehensive set of interfaces, offering a robust platform for edge AI development. It is compatible with both the Jetson Orin Nano and Jetson Orin NX modules. Key features include:\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 98.75%; height: 800px; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e1. 260PIN DO-DIMM socket\u003c\/strong\u003e\u003cbr\u003eFor connecting Jetson Orin Nano\/NX module\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e9. USB Type-C port\u003c\/strong\u003e\u003cbr\u003eFor system burning and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e2. 12PIN header\u003c\/strong\u003e\u003cbr\u003eAdapting pins for power supply, reset button, force recovery setting, serial port debug, auto power-up enable, and power indicator functions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e10. 40PIN header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e3. Power button\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e11. 4PIN PWM fan header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e4. 2 × 22PIN CSI camera interfaces\u003c\/strong\u003e\u003cbr\u003e2 × MIPI CSI 4-lane camera interfaces\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e12. M.2 Key E\u003c\/strong\u003e\u003cbr\u003eFor connecting wireless NIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e5. DC Power jack\u003c\/strong\u003e\u003cbr\u003eSupports wide range 9V–19V power supply, compatible with 5.5 × 2.5 mm male plug\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e13. 2 × M.2 Key M\u003c\/strong\u003e\u003cbr\u003eFor connecting NVMe solid state drives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e6. HDMI display interface\u003c\/strong\u003e\u003cbr\u003eHDMI output\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e14. RTC backup battery header\u003c\/strong\u003e\u003cbr\u003ePH1.25 2PIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e7. 4 × USB 3.2 Gen2 Type-A ports\u003c\/strong\u003e\u003cbr\u003eSupports up to 10 Gbps data transmission\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e8. RJ45 Gigabit Ethernet port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eNVIDIA Jetson Orin™ NX \u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003e16GB \/ 8GB\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWaveshare Carrier Board\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eAluminum Heatsinks with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003ch3\u003eWhat type of RTC is recommended for RTC socket?\u003c\/h3\u003e\n\u003cp\u003eThe Waveshare SBC2152 provides an RTC backup battery header. CR1220 and ML1220 batteries are typically compatible for RTC backup.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003e\u003c\/a\u003e\n\u003c\/h2\u003e\n\u003cdiv class=\"product documents-tab\"\u003e\n\u003cdiv class=\"value documents-info\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003eKIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51153153392957,"sku":"SBC1149-8","price":103049.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51153153425725,"sku":"SBC1149-8A","price":106949.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51153153458493,"sku":"SBC1149-16","price":143599.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51153153491261,"sku":"SBC1149-16A","price":146599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SBC1055-3_543c67ef-5406-44af-90c6-1d9a19e97e72.png?v=1774596861"},{"product_id":"sima-ai-modalix-deployment-kit","title":"SiMa.ai Modalix Deployment Kit  : (SW license extra)","description":"\u003ch2 style=\"text-align: center;\"\u003eModalix Deployment Kit\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe SiMa.ai MLSoC Modalix Development Kit (DevKit) is a complete hardware and software platform for evaluating and prototyping intelligent Physical AI applications using the latest Modalix System-on-Module (SoM).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eDesigned for rapid deployment, this kit enables seamless development, benchmarking, and proof-of-concept creation with SiMa.ai’s Palette software, offering best-in-class performance-per-watt in a compact form factor. Ideal for industrial, robotics, and vision-based and LLM-based applications, this kit supports real-time inferencing across computer vision, transformer models, and GenAI workloads.\u003c\/p\u003e\n\u003cdiv style=\"display: grid; grid-template-columns: 1fr; gap: 24px; margin-bottom: 24px;\"\u003e\n\u003c!-- Cards Container --\u003e\n\u003cdiv class=\"feature-grid\"\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eBuild, test, and deploy AI apps fast\u003c\/h3\u003e\n\u003cp\u003eLaunch edge AI applications in just minutes with our streamlined workflow\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003ePrototype smart, autonomous systems\u003c\/h3\u003e\n\u003cp\u003eDesign Physical AI, robotics, and sensor-based apps with ease\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eExplore demos, models, and docs\u003c\/h3\u003e\n\u003cp\u003eAccess ready-to-run examples, pretrained models, and full guides\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eComplete kit with all essentials\u003c\/h3\u003e\n\u003cp\u003eFast deployment includes software, cables, tools, and power—no extras needed\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"card\"\u003e\n\u003ch3\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/h3\u003e\n\u003cp\u003eDeploy your models seamlessly with industry-standard compatibility\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n.feature-grid {\n  display: grid;\n  gap: 24px;\n  grid-template-columns: repeat(1, 1fr);\n}\n\n\/* Tablet *\/\n@media (min-width: 768px) {\n  .feature-grid {\n    grid-template-columns: repeat(2, 1fr);\n  }\n}\n\n\/* Desktop *\/\n@media (min-width: 1024px) {\n  .feature-grid {\n    grid-template-columns: repeat(5, 1fr);\n  }\n}\n\n.card {\n  background: #fff;\n  border-radius: 16px;\n  padding: 32px 24px;\n  text-align: center;\n  box-shadow: 0 8px 24px rgba(0,0,0,0.08);\n}\n\n.card h3 {\n  margin-bottom: 12px;\n}\n\n.card p {\n  margin: 0;\n}\n\u003c\/style\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePowered by MLSoC Modalix SoM\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe MLSoC Modalix System-on-Module (SoM) provides the proven performance of the Modalix MLSoC architecture in a compact, deployment-ready form factor, purpose-built to Scale Physical AI applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Modalix innovative system architecture seamlessly integrates a set of compute engines and peripherals, delivering best-in-class performance per watt for advanced workloads, including multimodal Transformers, Large Language Models (LLMs), Large Multimodal Models (LMMs), and Generative AI (GenAI). It also maintains full support for legacy convolutional neural networks (CNNs) and traditional\u003cbr\u003ecomputer vision algorithms, ensuring broad compatibility across both modern and established ML pipelines.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Modalix SoM offers the best-in-class performance per watt.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/sima.ai\/wp-content\/uploads\/2025\/08\/som-chips-with-bg.png\" class=\"object-contain\" decoding=\"async\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eMLSoC Modalix SoM Feature Highlights\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eMachine Learning Accelerator (MLA)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e50 TOPs (BF16, INT8, INT16)\u003cbr\u003eSupports LLMs, neural networks, and GenAI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eApplication Compute Unit (ACU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e8 × ARM Cortex-A65 @ 1.4 GHz\u003cbr\u003e32K Dhrystone MIPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e32 GB or 8 GB on-board 128-bit LPDDR5 (6400 Mbps) system memory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eBoot and Security Unit (BSU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eSecure boot with boot code authentication and encryption\u003cbr\u003eSecure key storage and management\u003cbr\u003eSecurity engine for user code\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eVideo Codec\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eDecode H.264 \/ H.265 \/ AV1 up to 4K60\u003cbr\u003eEncode H.264 \/ H.265 up to 4K60\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eComputer Vision Unit (CVU)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e4-core Synopsys EV74 DSP @ 1 GHz\u003cbr\u003e720 GOPS (16-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eLow-Latency ISP\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eARM Mali-C-1 @ 1.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eDisplay Connectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eHDMI 1.4 port with 4K resolution\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003ePeripherals\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e4 × 2-lane MIPI CSI-2\u003cbr\u003e4 × PCIe Gen5 RC \u0026amp; EP\u003cbr\u003e1 × 1Gb Ethernet PHY\u003cbr\u003e3 × USB 3.0\u003cbr\u003e4 × I2C, 3 × UART, 14 × GPIO\u003cbr\u003e2 × SPI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eExternal NVMe via PCIe x4\u003cbr\u003eExternal SSD via USB 3.0\u003cbr\u003e16 GB eMMC flash\u003cbr\u003e64 MB QSPI flash\u003cbr\u003e128 KB EEPROM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003eFlexible 5–20 V power input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e69.6 mm × 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 50.7592%;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; width: 49.2408%;\"\u003e\n\u003cstrong\u003eCommercial SoM: \u003c\/strong\u003e 0°C to +60°C\u003cbr\u003e\u003cstrong\u003e    Industrial SoM:  \u003c\/strong\u003e-40°C to +85°C\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDevelopment Flow\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003ePhase\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDetails\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eEvaluate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eUse Palette to compile and run models, assess performance (FPS, latency, compute utilization), and monitor system metrics.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #000; padding: 8px;\"\u003e\n\u003cul style=\"margin: 0; padding-left: 18px;\"\u003e\n\u003cli\u003eDocker-based toolchain\u003c\/li\u003e\n\u003cli\u003eARM cross-compiler\u003c\/li\u003e\n\u003cli\u003ePlatform image build \u0026amp; deploy tools\u003c\/li\u003e\n\u003cli\u003eIntegrated KPIs and performance feedback\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003ePrototype\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eDevelopers can rapidly prototype functional pipelines using SiMa.ai’s Python APIs.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEnables fast bring-up of custom ML workflows directly on the hardware without complex embedded optimization.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDemonstrate\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eThe Deployment supports multi-camera input and high-speed interfaces for showcasing applications.\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid #000; padding: 8px;\"\u003e\n\u003cul style=\"margin: 0; padding-left: 18px;\"\u003e\n\u003cli\u003eMIPI CSI-2\u003c\/li\u003e\n\u003cli\u003eIP-based input\u003c\/li\u003e\n\u003cli\u003eUSB 3.2\u003c\/li\u003e\n\u003cli\u003eReal-time vision AI demo via HDMI with minimal latency\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAvailable Interfaces\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_7t3n4p7t3n4p7t3n.png?v=1763376133\" alt=\"\"\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 147.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 10.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eNo.\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eHDMI 1.4 @ 4K\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e2\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e2 × MIPI CSI-2 Connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e3\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eM.2 M — 4× PCIe Gen4 RC\/EP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e4\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e4× USB 3.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e5\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1× USB-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e6\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1× Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e7\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eI²C \/ UART \/ GPIO \/ SPI \/ GPIO\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eProduct Brief\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Modalix-SoM-Product-Brief_05.3.pdf?v=1770721342\" style=\"color: rgb(255, 42, 0);\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWhat’s Included\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 147.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 10.5938px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eParts\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 10.5938px;\"\u003e\u003cstrong\u003eQuantity\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eModalix SoM 32GB \u003cspan style=\"color: rgb(255, 42, 0);\"\u003e(Commercial\/Industrial)\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eCarrier Board\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eActive Heatsink\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eM.2 240GB NVME Solid State Drive\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e12V\/5A Power Supply\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003eMetal Enclosure\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eVideos\u003c\/h2\u003e\n\u003cdiv style=\"position: relative; width: 100%; padding-top: 56.25%; background: #000;\"\u003e\u003cvideo preload=\"metadata\" playsinline=\"\" controls=\"controls\" style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%; object-fit: contain;\"\u003e\n    \u003csource type=\"video\/mp4\" src=\"https:\/\/cdn.shopify.com\/videos\/c\/o\/v\/82949aeb6dc7480ba08a1f4e08efa396.mp4\"\u003e\n    Your browser does not support the video tag.\n  \u003c\/source\u003e\u003c\/video\u003e\u003c\/div\u003e","brand":"SiMa.ai","offers":[{"title":"Commercial","offer_id":51369869181245,"sku":"SBC1158","price":84999.99,"currency_code":"INR","in_stock":true},{"title":"Industrial","offer_id":51369869214013,"sku":"SBC1159","price":89999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/devkit-3-0_480x256_a69c6869-5027-45f2-92e6-1c0f93dfd6d4.webp?v=1774510820"},{"product_id":"thinkrobotics-nvidia-jetson-orin-nx-nano-edge-ai-5g-development-kit","title":"ThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI 5G Deployment Kit","description":"\u003ch2 style=\"text-align: center;\"\u003eThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI 5G Deployment Kit\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cspan\u003eThe Jetson Orin 5G AI Deployment Kit combines the powerful NVIDIA Jetson Orin™ NX \u003c\/span\u003e\u003cspan\u003eOrin™ Nano module with the versatile A608 carrier board and the high-performance RM520N-GL 5G module. This platform is designed for advanced edge AI applications requiring ultra-low latency connectivity, making it ideal for robotics, autonomous systems, UAVs, industrial automation, and next-generation AIoT deployments.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ChatGPT_Image_Mar_10_2026_04_52_30_PM.png?v=1773143339\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan\u003eFeature\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eHigh-Performance Edge AI Platform\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eBuilt on NVIDIA Jetson Orin™ NX \/ Orin™ Nano modules delivering powerful GPU-accelerated computing for computer vision, robotics, AI inference, and generative AI workloads.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eIntegrated 5G Connectivity\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEquipped with the RM520N-GL 5G module based on Qualcomm Snapdragon X62 platform supporting 5G SA and NSA networking for ultra-fast wireless communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eMulti-Mode Global Network Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eCompatible with 5G, LTE, and WCDMA networks with support for multiple global frequency bands ensuring reliable connectivity across regions.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eHigh-Speed USB 3.1 Interface\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eProvides high-bandwidth USB connectivity between the Jetson system and the 5G modem for ultra-low latency networking and high-speed data transfer.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eDual Gigabit Ethernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eTwo onboard Gigabit Ethernet ports allow high-speed wired networking for industrial deployments and AI edge servers.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eFlexible Wireless Expansion\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eM.2 KEY B slot enables integration of 4G\/5G modules while M.2 KEY E supports WiFi expansion, providing flexible connectivity options.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eQuad Antenna Design\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eFour SMA antenna connectors ensure strong signal reception and stable high-speed wireless communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eMulti-Constellation GNSS Positioning\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eSupports GPS, GLONASS, Beidou, Galileo, and QZSS for high-precision positioning and navigation applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eRich IO for Robotics and Embedded Systems\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eIncludes CAN, I2C, SPI, UART, CSI camera interfaces, and multiple GPIOs for easy integration with sensors, cameras, and robotic subsystems.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003cstrong\u003eWide Power Input Range\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eOperates from 9V to 20V DC with up to 60W power input, making it suitable for mobile robots, drones, and industrial environments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Jetson Orin 5G Deployment Kit is designed to deliver powerful AI computing combined with next-generation wireless connectivity. By integrating NVIDIA's edge AI platform with the RM520N-GL 5G modem, the system enables real-time cloud connectivity, remote AI processing, and high-speed data streaming for intelligent edge applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe A608 carrier board provides a wide range of interfaces including dual Gigabit Ethernet, USB 3.2, CSI camera ports, CAN bus, and multiple expansion connectors, making it an ideal development platform for autonomous robots, AI surveillance systems, drones, and smart industrial devices.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWith multi-constellation GNSS positioning and ultra-fast 5G connectivity, this platform is perfectly suited for applications requiring real-time telemetry, remote monitoring, edge analytics, and AI-powered automation.\u003c\/p\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/RM520N-GL-5G-for-Jetson-Orin-details-5.jpg?v=1764744465\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e* Note: The frequency band diagram above is for reference only,\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eplease confirm the supported bands according to your local service provider.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAutonomous Robots\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eIndustrial AI \u0026amp; Automation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eUnmanned Aerial Vehicles (UAVs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eEdge AI Video Analytics\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eSmart Cities \u0026amp; Intelligent Transportation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eRemote Monitoring Systems\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAIoT Devices\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003eAutonomous Marine Vehicles\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\n\u003cspan\u003eHardware\u003c\/span\u003e\u003cspan\u003e Ove\u003c\/span\u003e\u003cspan\u003erview\u003c\/span\u003e\n\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cimg src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzYyODMwNDA5OQ_556368_QFm3ICqR518LlQ4X_1705633232?w=1920\u0026amp;h=1080\u0026amp;type=image\/jpeg\"\u003e\u003cimg src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzYyODMwNDA5OQ_800168_h1JqANomPobxe5Db_1705633237?w=1920\u0026amp;h=1080\u0026amp;type=image\/jpeg\"\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cimg\u003e\u003cimg\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 274.313px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eProduct Name\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eJetson Orin 5G AI Deployment Kit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eAI Module Compatibility\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eNVIDIA Jetson Orin™ NX \/ Orin™ Nano\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eA608 Jetson Carrier Board\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003e5G Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eRM520N-GL (Qualcomm Snapdragon X62 Platform)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003e5G Network\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e5G SA \/ NSA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e2 × Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e4 × USB 3.2 Type-A, 1 × USB Type-C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e2 × 4-lane MIPI CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eWireless\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e5G via M.2 KEY B, WiFi via M.2 KEY E\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eM.2 KEY M NVMe SSD Support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eGNSS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003eGPS \/ GLONASS \/ Beidou \/ Galileo \/ QZSS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e9V – 20V DC (Max 60W)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 50.1664%;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center; height: 19.5938px; width: 49.8336%;\"\u003e-25°C to +65°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center; width: 50.1664%;\"\u003e\u003cstrong\u003eAntenna Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; text-align: center; width: 49.8336%;\"\u003e4 × SMA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 156.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eA608 Carrier Board for Jetson Orin™ NX \/ Orin™ Nano\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eJetson Orin NX \/ Orin Nano Module \u003cspan style=\"color: rgb(255, 42, 0);\"\u003eOPTIONS\u003c\/span\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cb\u003eCooling Fan \/ Heatsink\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003e240GB NVMe SSD\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eRM520N-GL 5G Module\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003e5G Antennas\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003ePower Supply\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5938px; width: 50.3375%; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan\u003eAluminium Case \/ Enclosure\u003c\/span\u003e\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding-top: 8px; padding-right: 8px; padding-bottom: 8px; height: 19.5938px; text-align: center; width: 49.6625%;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"with Orin Nano 8GB","offer_id":51478529900861,"sku":"SBC1080-1","price":126249.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 8GB","offer_id":51478529966397,"sku":"SBC1080-2","price":159299.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 16GB","offer_id":51478530031933,"sku":"SBC1080-3","price":199549.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/5G-IOT-Hub-6.png?v=1773143508"},{"product_id":"raspberry-pi-official-10-1inch-capacitive-touch-display-2-ips-1200x1920","title":"Raspberry Pi Official 10.1inch Capacitive Touch Display 2 (IPS, 1200x1920)","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e4e4e4;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eRaspberry Pi 10.1\" Touch Display 2\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eDesigned by Raspberry Pi\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, front and back view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\u003cul style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eSize\u003c\/span\u003e\u003cimg alt=\"size: 10.1inch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Dimension.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10.1\"\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eResolution\u003c\/span\u003e\u003cimg alt=\"resolution: 1200 × 1920\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Resolution.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e1200 × 1920\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Interface\u003c\/span\u003e\u003cimg alt=\"display interface: DSI\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/mipi.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eDSI\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Panel\u003c\/span\u003e\u003cimg alt=\"Display Panel: IPS\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/IPS.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eIPS\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eViewing Angle\u003c\/span\u003e\u003cimg alt=\"Viewing_angle: 170°\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Viewing_angle.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e170°\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Type\u003c\/span\u003e\u003cimg alt=\"Touch_type: Capacitive\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Capacitive_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eCapacitive\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Points\u003c\/span\u003e\u003cimg alt=\"Touch Points: 10-Point\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Five_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10-Point\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Interface\u003c\/span\u003e\u003cimg alt=\"touch_interface: I2C\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/I2C.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eI2C\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eBrightness\u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Brightness.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e400cd\/㎡\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"sep0px\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cul id=\"IconGrid\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\u003c\/ul\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #dadada;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eProduct Introduction\u003c\/h2\u003e\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003e10.1inch Raspberry Pi Touch Display 2\u003c\/strong\u003e is a 10.1inch touchscreen display for Raspberry Pi. Featuring an IPS display panel with a 1200 × 1920 resolution and 10-point capacitive touch support, it provides a smooth and convenient human-machine interaction experience for Raspberry Pi projects.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eThe display connects to the Raspberry Pi via the MIPI DSI interface and is powered through the GPIO header, offering a simple and reliable connection. When used with Raspberry Pi OS, the display supports touch functionality and an on‑screen keyboard, without requiring additional drivers or complex configuration.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eWith a large display area and flexible touch interaction, it is suitable for various applications such as smart home control panels, information display terminals, self-service kiosks, and robot interaction interfaces.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, connecting with Pi5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the above controller boards or hosts are NOT included.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDevice \u0026amp; System Support\u003c\/h2\u003e\n\u003cbr\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-img4txt6\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cimg alt=\"Supports Raspberry Pi 5 \/ CM5 \/ CM4\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/CM5_CM4_Pi5_440.jpg\" style=\"display: block; height: auto; margin: 5px auto; flex: 1; min-width: 250px; max-width: 400px;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cdiv class=\"largerBlock\"\u003eRaspberry Pi 5 \/ CM5 \/ CM4\u003c\/div\u003e\n\u003cp style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eSupports Raspberry Pi OS, 10-point touch\u003c\/p\u003e\n\u003cp class=\"noteBg\" style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eNote: CM4 only supports 4-lane DSI on DSI1. When using this display, a CM4 baseboard that supports 4-lane DSI is also required for proper operation. Some baseboards with a 15pin DSI connector may not be compatible.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eConnection Examples\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Raspberry Pi 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Compute Module 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Compute Module 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-7.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e6e6e6;\"\u003e\n\u003cp class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eHow to install\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, how to install\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word;\"\u003ePlease connect the DSI cable as shown above, and power the LCD through the GPIO 5V pin\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(171, 171, 171); overflow-wrap: break-word;\"\u003e\u003cspan style=\"color: rgb(128, 128, 128);\"\u003e* for reference only, the Raspberry Pi boards above are NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eIPS Display Panel\u003c\/h2\u003e\n\u003cp class=\"pdTRBL\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eExcellent Display Performance With 170° Wide Viewing Angle\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, adopts IPS display panel\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-11.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003e10-Point Capacitive Touch\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eup to 10-point touch, depending on the operating system\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, supports 10-point capacitive touch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eInterface Introduction\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, interface introduction\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-15.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-size-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cem\u003e\u003c\/em\u003e\u003c\/span\u003e\u003cem style=\"text-align: center;\"\u003e\u003ca class=\"wikilink\" href=\"https:\/\/docs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\" target=\"_blank\"\u003edocs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\u003c\/a\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e10.1inch Raspberry Pi Touch Display 2 x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e22PIN to 22PIN FPC cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eGPIO cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eScrews pack x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg alt=\"10.1inch Raspberry Pi Touch Display 2\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-pack.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"sep0px\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.603 kg\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52929036845373,"sku":"WVSH0642","price":87949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/10.1inch-raspberry-pi-touch-display-2-1.jpg?v=1787736499"},{"product_id":"ov4689-4mp-usb-camera-a-92-fov-type-c-sh1-0-4pin-header","title":"OV4689 4MP USB Camera (A) - 92° FOV, Type-C, SH1.0 4PIN header","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background-color: #dde0e5;\"\u003e\n\u003ch2 class=\"richTitle textUpper\"\u003e\u003cspan style=\"color: rgb(89, 162, 16);\"\u003eOV4689 4MP USB camera\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 sensor | USB 2.0 Type-C port | 92° distortion-free lens\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignc\" style=\"min-width: 600px; border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\" width=\"18%\"\u003ePixels\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e4MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eSensor\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eOV4689\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eInterface\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eUSB2.0 Type-C port \/ SH1.0 4PIN header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"6\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eCamera\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\" width=\"22%\"\u003eSensor size\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e1\/3 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eAperture (F)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocal length (EFL)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.88mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e92°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eDistortion\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e\u0026lt;-0.2%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocusing\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFixed-focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eMount\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eM12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"3\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eImage\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFormat support\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG, YUY2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eStatic image resolution\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2688 × 1520\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eVideo recording\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG:\u003cbr\u003e30 FPS 2688 × 1520\u003cbr\u003e30 FPS 2560 × 1440\u003cbr\u003e60 FPS 1920 × 1080\u003cbr\u003e60 FPS 1280 × 720\u003cbr\u003e60 FPS 640 × 480\u003cbr\u003eYUY2:\u003cbr\u003e2 FPS 2688 × 1520\u003cbr\u003e2 FPS 2560 × 1440\u003cbr\u003e5 FPS 1920 × 1080\u003cbr\u003e10 FPS 1280 × 720\u003cbr\u003e30 FPS 640 × 480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eOperating voltage\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e5V ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eoperating temperature\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e-10°C ~ 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eModule size\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e25.00 × 25.00 (mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e4MP High resolution\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eSupports 60 FPS output, suitable for capturing details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), supports 4MP high resolution\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eBetter Low-light sensitivity\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 adopts Backside-Illuminated (BSI) technology, providing better imaging effect in low light condition\u003c\/strong\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cimg alt=\"OV4689 4MP USB Camera (A), adopts distortion-free lens\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePlug and Play, Easy Connection\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; padding: 0px 3em; text-align: center;\"\u003e\u003cstrong\u003eOnboard USB 2.0 port, driver-free, compatible with various USB hosts such as PC and smart devices, simply plug it in to start using\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A) connected to computer for shooting\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, please refer to the package content for the detailed part list.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch3 class=\"richTitle\" style=\"text-align: center;\"\u003eConnecting with USB cable\u003c\/h3\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-3c richGridWrap-valignTop mgnTB\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), connecting to Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-1.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Raspberry Pi 5\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to Jetson Orin kit\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-2.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Jetson Orin kit\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to RDK X5 Development Board\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-3.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to RDK X5 Development Board\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the \u003ca href=\"\/es\/raspberry-pi-5.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRaspberry Pi 5\u003c\/a\u003e, \u003ca href=\"\/es\/jetson-orin-nx-16g-dev-kit.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eJetson Orin kit\u003c\/a\u003e and \u003ca href=\"\/rdk-x5.htm?sku=28741\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRDK X5 Development Board\u003c\/a\u003e are NOT included\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePinout Definition\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), pinout definition\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-size.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cem\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca class=\"wikilink\" href=\"http:\/\/docs.waveshare.com\/OV4689-4MP-USB-Camera-A\" target=\"_blank\"\u003edocs.waveshare.com\/OV4689-4MP-USB-Camera-A\u003c\/a\u003e\u003c\/span\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.015 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eOV4689 4MP USB Camera (A) x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eSH1.0 4PIN dual plug cable x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"imgTextWrap\" style=\"display: flex !important; flex-wrap: wrap !important; gap: 15px !important; justify-content: center !important; align-items: center !important; margin: 10px 0 !important;\"\u003e\n\u003cdiv\u003e1 \u003ca href=\"\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1.jpg\"\u003e \u003cimg alt=\"OV4689 4MP USB Camera (A)\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1_220.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e2 \u003ca href=\"\/img\/devkit\/general\/4PIN_dual_cable.jpg\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/4PIN_dual_cable_93.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52935278985533,"sku":"WVSH0649","price":2249.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ov4689-4mp-usb-camera-a-1.jpg?v=1787812512"},{"product_id":"recomputer-mini-j5012-with-gmsl-edge-ai-computer-nvidia-jetson-agx-orin-64gb","title":"reComputer Mini J5012 with GMSL - Ultra-Compact Edge AI Computer with NVIDIA Jetson AGX Orin 64GB","description":"\u003cdiv class=\"page-title-wrapper product\"\u003e\n\u003ch1 class=\"page-title\" style=\"text-align: center;\"\u003e\n\u003cspan class=\"base\" data-ui-id=\"page-title-wrapper\" itemprop=\"name\"\u003ereComputer Mini J5012 with GMSL - Ultra-Compact Edge AI Computer with NVIDIA Jetson AGX Orin 64GB\u003c\/span\u003e\u003cspan class=\"base\" data-ui-id=\"page-title-wrapper\" itemprop=\"name\"\u003e\u003c\/span\u003e\n\u003c\/h1\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"product-info-price product-info-box\"\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J5012 with GMSL is an open-source, Ultra-Compact Edge AI Computer powered by the Jetson AGX Orin™ 64GB module. Delivering up to 275 TOPS and featuring rich IOs, including CAN, USB, Ethernet,RS-485, I2S and GMSL extension, per-installed JP6.2 (supports 7.2), making it a perfect candidate for humanoid controller and rapid prototyping. With the AGX Orin module, reComputer Mini J5012 is a perfect alternative option for NVIDIA® Jetson AGX Orin™ Developer Kit\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePowerful Embodied AI Platform\u003c\/strong\u003e Paired with the Jetson AGX Orin 64GB, offering up to 275 TOPS. Perfect platform for embodied AI and ultra-compact edge application development.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eUltra-Compact Size\u003c\/strong\u003e 119mm x 119mm footprint, suitable for robot prototyping and development, especially robots that has tight footprint such as humanoids.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWide Voltage Input Range\u003c\/strong\u003e Can be used in 48V power system (max 54V input).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRich IO Capabilities\u003c\/strong\u003e Includes most common IOs used in robotics prototyping, such as USB, 10G Ethernet, 1G Ethernet, CAN, RS-485, GPI, GPO and I2S.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eVision AI Support\u003c\/strong\u003e Features 8x GMSL2 cameras, making it ideal for vision AI applications such as BEV, Occupancy Grid, SLAM etc.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/reComputer_Mini_J5012_with_GMSL_2x.png\"\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"width: 100%;\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center; width: 25%;\"\u003e\u003cstrong\u003eProduct\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 36.5702%;\"\u003e\u003cstrong\u003ereComputer Mini J5011 with GMSL\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 38.4298%;\"\u003e\u003cstrong\u003ereComputer Mini J5012 with GMSL\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eModule\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eJetson AGX Orin 32GB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003eJetson AGX Orin 64GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e200 TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e275 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eNVIDIA GPU Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1792 CUDA Cores with 56 Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2048 CUDA Cores with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eGPU Max Frequency\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e930 MHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1.3 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e8x A78 2.2 GHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e12x A78 2.2 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e32GB 256-bit LPDDR5 204.8GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e64GB 256-bit LPDDR5 204.8GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e64GB eMMC5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eVideo Encoder\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1x 4K60 (H.265)\u003cbr\u003e3x 4K30 (H.265)\u003cbr\u003e6x 1080p60 (H.265)\u003cbr\u003e12x 1080p30 (H.265)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e8x 1080p60 (H.265)\u003cbr\u003e16x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eVideo Decoder\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e1x 8K30 (H.265)\u003cbr\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e9x 1080p60 (H.265)\u003cbr\u003e18x 1080p30 (H.265)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x 8K30 (H.265)\u003cbr\u003e3x 4K60 (H.265)\u003cbr\u003e7x 4K30 (H.265)\u003cbr\u003e11x 1080p60 (H.265)\u003cbr\u003e22x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eModule Power\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003e15W | 40W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e15W | 60W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eJetPack\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003eJetPack 6.2 (\u003ca href=\"https:\/\/wiki.seeedstudio.com\/recomputer_j501_mini_getting_started\/\"\u003esupprots JP7.2\u003c\/a\u003e)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 100%;\"\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e1x M.2 KEY M for NVMe SSD (128G SSD included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" style=\"text-align: center; width: 25%;\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x M.2 Key E for WiFi\/BT module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RJ45 Gigabit Ethernet\u003cbr\u003e1x RJ45 10 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"11\" style=\"text-align: center; width: 25%;\"\u003eI\/O\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x USB 3.2 Type-A (5Gbps)\u003cbr\u003e1x USB 2.0 Type-C (Debug)\u003cbr\u003e1x USB 3.0 Type-C (Recovery)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eCamera\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e8x GMSL2 (Optional)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eCAN\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e2x CAN (Isolated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eRS-485\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RS-485 (Isolated)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eIO\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e4x GPI (3.3V)\u003cbr\u003e4x GPO (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eI2S\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x I2S (3.3V)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x HDMI 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eFan\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x 4-Pin Fan Connector (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x RTC 2-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eLED\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e3x LED (PWR\/ACT\/USR)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eButton\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1x Reset\u003cbr\u003e1x Recovery\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003ePower\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e1x XT30 Connector (19-48V DC, Max 54V Input)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"text-align: center; width: 25%;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eDimensions (W x D x H)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e119mm x 119mm x 100mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003e1325g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 36.5702%;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 38.4298%;\"\u003eDesk\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e-10℃~60℃\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eWarranty\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 25%;\"\u003eCertification\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 75%;\"\u003eRoHS, CE, FCC, KC Vibration Test(GB\/T 2423)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eCompatible GMSL Cameras supported in Jetpack\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\" style=\"width: 100%; height: 117.563px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003cth style=\"text-align: center; width: 24.222%; height: 19.5938px;\"\u003e\u003cstrong\u003eManufactuer\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003cstrong\u003eModel\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e\u003cstrong\u003eResolution\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd rowspan=\"4\" style=\"text-align: center; width: 24.222%; height: 78.3752px;\"\u003eSensing\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/SG3S-ISX031C-GMSL2F-p-6245.html\"\u003eSG3S-ISX031C-GMSL2F\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG2-AR0233C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG2-IMX390C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e1920H*1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e3840H*2160V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"text-align: center; width: 24.222%; height: 19.5938px;\"\u003eOrbbec\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 43.4798%; height: 19.5938px;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/Orbbec-Gemini-335LG-3D-Camera-p-6541.html\"\u003eOrbbec Gemini 335LG\u003c\/a\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 23.2447%; height: 19.5938px;\"\u003e3D\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/1.hard.100020407.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_2.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_3.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/h\/a\/hardware_img_4.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eProduct Application Description\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHumanoid Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_1.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Robot Development\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_2.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ePowered by the Jetson AGX Orin™ module, this ultra-powerful embedded system accelerates advanced robotics and edge AI development for manufacturing, logistics, and healthcare. Leveraging the NVIDIA Isaac™ platform, it delivers accelerated libraries and generative AI models to elevate robot perception, manipulation, and simulation to the next level.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/isaac?size=n_6_n\u0026amp;sort-field=featured\u0026amp;sort-direction=desc\"\u003eLearn about Issac platform in AI Robot Development.\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eMulti-Sensor Fusion for Autonomous Mapping \u0026amp; Navigation\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_3.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 supports sensor-rich autonomy by integrating data from LiDAR (via Ethernet\/CAN), 3D cameras (via USB\/CSI), GPS, and IMU (via UART). Using AI models and algorithms like ORB-SLAM, \u003ca href=\"https:\/\/wiki.seeedstudio.com\/a_loam\/\"\u003eA-LOAM\u003c\/a\u003e, or Nav2, it performs sensor fusion, real-time localization, path planning, and obstacle avoidance. The low-latency processing on the AGX Orin SoC allows autonomous systems to adapt to changing terrain or obstacles on the fly. Its wide voltage input and compact form factor make it suitable for mobile deployment, enabling robust, edge-level autonomy without external compute.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLearn more about \u003ca href=\"https:\/\/wiki.seeedstudio.com\/slamtec\/\"\u003esensor options\u003c\/a\u003e compatible with reComputer Mini J501 to get started.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eCapable of Bringing Generative AI to the Edge\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_4.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDeploy Depth Anything v3\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/3Khm3OpLg3M?si=tu5nBwZa9k5gvHh0\" title=\"YouTube video player\" width=\"1270\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 enables real-time execution of the \u003cstrong\u003eDepth Anything V3\u003c\/strong\u003e. By processing frames captured from a GMSL camera, the system instantaneously generates high-precision depth maps and reconstructs 3D point cloud spaces. This empowers small-scale mobile robots with exceptional spatial perception, obstacle recognition, and real-time 3D modeling capabilities, making it ideal for low-power, high-performance robotic applications such as outdoor inspection, autonomous delivery, and environmental mapping.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan data-font-family=\"微软雅黑\"\u003eFruit Sorting with Mini J501 and StarAI Follower Arm Viola\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ciframe height=\"315\" src=\"https:\/\/www.youtube.com\/embed\/Tk6jazbZZy0?si=iNc9yvhCA9W8pDxb\" title=\"YouTube video player\" width=\"1270\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Mini J501 and StarAI Follower Arm Viola utilizes the \u003cstrong\u003eLeRobot\u003c\/strong\u003e framework to execute fruit sorting tasks. The project showcases an end-to-end workflow from data collection to deployment, enabling the robot to intelligently grasp and organize fruits\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDesigned for Developers — Out-of-the-Box Experience:\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eTo improve the developer experience, Seeed offers \u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\"\u003ereComputer AI Lab\u003c\/a\u003e — a platform that helps you deploy AI applications with \u003cstrong\u003eone-click\u003c\/strong\u003e tools and ready-to-use resources. It includes optimized edge AI model demos for CV, LLM, VLM, interactive tutorials, \u003ca href=\"https:\/\/sensecraft.seeed.cc\/ai-lab\/tools\"\u003edeployment tools\u003c\/a\u003e, containerized applications, and community projects to speed up development on Jetson.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/1280X1280_1__1.PNG\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Projects\/Seeed-Jetson-DevelopTool\"\u003eSeeed Jetson Develop Tool\u003c\/a\u003e is a desktop client for all developers who are going to use reComputer Jetson device for the very first time. It brings the common bring-up and development workflow into one GUI: firmware flashing, first-boot initialization, device diagnostics, remote development, app deployment, skill-based automation, OTA updates (Upgrade to \u003cspan style=\"color: #76bc20;\"\u003e\u003cstrong\u003eJetPack7.2\u003c\/strong\u003e\u003c\/span\u003e), and community resources. All we provide here is to help you to get started with Seeed reComputer Jetson hardware much more easily and seamlessly.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/20260720-103903.jpg\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eReady to build a solution for the real world? We have \u003ca href=\"https:\/\/github.com\/Seeed-Projects\/jetson-examples\"\u003eJetson-example\u003c\/a\u003e prepared for you! It offers one-line deployable projects compatible with generative AI large models, including LeRobot, Ollama, Qwen, etc; with computer vision such as Ultraslytics YOLO26. We have configured all environment setups for you to provide a single command deployment of projects, easy to try out\/verify if the trending model performance is suitable for your GPU needs and application scenarios.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/a\/p\/application_img_5.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Mini_J501_Datasheet.pdf\"\u003eUser Manual \u0026amp; Datasheet\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Mini%20J501%20Carrier%20Board_Rev1.0_SCH_251027.pdf\"\u003eCarrier Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Mini%20J501_V1.0_SCH_251024.pdf\"\u003ePower Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Mini_J501_sam.zip\"\u003e3D File\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Jetson_AGX_Orin_Series.pdf\"\u003eSelection of reComputer Jetson AGX Orin Series\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\"\u003eSeeed Nvidia Jetson Product Catalog\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\"\u003eNvidia Jetson Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\"\u003eNvidia Jetson Product Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\"\u003eSeeed Nvidia Jetson Success Cases\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\"\u003eSeeed Jetson One Pager\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/flash\/jetpack_to_selected_product\/\"\u003eFlash BSP for Jetson\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSeeed reComputer Mini J5012\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eJetson AGX Orin 64GB Module\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGMSL Extension Board (GMSL x8)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e128GB NVME SSD\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eXT30 to DC Power Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUSB Type-C to Type-A Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGH-1.25 4-pin 100mm JST Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGH-1.25 6-pin 100mm JST Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":53120891814205,"sku":"SBC1173","price":702349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/0-100020407-recomputer-mini-j5011-with-gmsl-64g_1.jpg?v=1789979374"},{"product_id":"recomputer-rugged-j4012-nvidia-jetson-orin-nx-edge-ai-computer","title":"reComputer Rugged J4012 - Ruggedized IP66 Edge AI Computer with NVIDIA Jetson Orin 16GB","description":"\u003ch1 style=\"text-align: center;\"\u003ereComputer Rugged J4012 NVIDIA Jetson Orin NX 16GB Edge AI Computer\u003c\/h1\u003e\n\u003cp style=\"text-align: center;\"\u003ereComputer Rugged J4012 is a ruggedized edge box powered by NVIDIA® Jetson Orin™ NX 16GB. It is equipped with M12 and sealed connectors, providing IOs such as USB, Ethernet (including PSE), CAN, RS-232\/422\/485 and DI\/DO. It has M.2 Key B slot for 5G modules, making it ideal to be used in ruggedized applications, such as AMR, robotics, agriculture, industrial and maritime applications. It can be directly used in 48V systems and has interfaces for most common sensors.\u003c\/p\u003e\n\u003cp\u003e   \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eKey Features\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-content_img_1.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRuggedized Hardware Design\u003c\/strong\u003e: Ruggedized edge AI computer with IP66 rating that can be deployed in harsh environment\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eLockable and Waterproof connectors\u003c\/strong\u003e: M12 for all interfaces (Ethernet (PSE), DI, DO, RS‑232\/422\/485, and CAN), plus lockable\/waterproof USB connectors.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eApplication and Benefit\u003c\/strong\u003e: Ideal for rapid development of autonomous vehicles in harsh environments(AGV, AMR,trucks), accelerating time-to-market with ready-to-use interfaces and optimized AI frameworks.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eReady to Use\u003c\/strong\u003e: Pre-installed with JetPack 5.1.3 and equipped with WiFi6 module.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWide Operating Range\u003c\/strong\u003e: Operates reliably across a temperature range of -20°C to 60°C at 25W mode\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e\u003cstrong\u003eModule Specifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eProduct Name\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ereComputer Rugged J4012\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eModule\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e NVIDIA Jetson Orin™ NX 16GB \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eOrin NX 16GB – 100 TOPS \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e918 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2 x NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDL Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1 x PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e16GB 128-bit wide LPDDR5 DRAM 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e10W - 15W - 25W \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x 4K60 (H.265)\u003cbr\u003e3x 4K30 (H.265)\u003cbr\u003e6x 1080p60 (H.265)\u003cbr\u003e12x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x 8K30 (H.265)\u003cbr\u003e2x 4K60 (H.265)\u003cbr\u003e4x 4K30 (H.265)\u003cbr\u003e9x 1080p60 (H.265)\u003cbr\u003e18x 1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e69.6mm x 45mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBox Specifications\u003c\/h2\u003e\n\u003ctable border=\"1\" cellpadding=\"6\" cellspacing=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e1x M.2 KEY M PCIe (128G SSD included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"4\" style=\"text-align: center;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x M.2 Key E for WiFi\/Bluetooth module (Module Included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eM.2 KEY B\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x M.2 Key B for 5G module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSIM\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x Nano-SIM slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5x RJ-45 Gigabit Ethernet (4x PSE, all M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"9\" style=\"text-align: center;\"\u003e\u003cstrong\u003eI\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x USB 3.0 Type-A (5Gbps)\u003cbr\u003e1x USB 3.0 Type-C (Recovery)\u003cbr\u003e1x USB 2.0 Type-C (Debug)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eCAN\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x CAN (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x HDMI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDI\/DO\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x DI, 2x DO (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSerial\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x RS-232\/422\/485 (M12)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x RTC 2-pin\u003cbr\u003e1x RTC Socket (CR1220 Battery Included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eLED\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2x LED (PWR, SSD)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eButton\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x Recovery\u003cbr\u003e1x RESET\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAntenna Hole\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x Antenna Hole\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e19-48V M12 A-code connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eJetpack Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003eJetpack 5.1.3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"3\" style=\"text-align: center;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDimensions (W x D x H)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e210mm*190mm*95mm\u003cbr\u003e(Bottom Panel is 250mm * 210mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3.5kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDesk, Wall-mounting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e-20℃~60℃ (25W Mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCertification\u003cbr\u003e(Pending)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center;\"\u003eRoHS, CE, FCC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHardware Overview\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/rugged-401-annotation.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-hardware_img_2.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eOutdoor video analytics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-application_img_1.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eFor outdoor video analytics and monitoring, equipment must operate reliably outdoors despite constant exposure to UV radiation, moisture, temperature fluctuations, and mechanical vibration. With its IP66-rating enclosure, reComputer Rugged can be used in outdoor environments for such purposes. Paired with computing power of NVIDIA Jetson Orin modules, reComputer Rugged J40 is a powerful edge AI gateway for remote monitoring stations.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAutonomous Logistics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"image\" src=\"https:\/\/www.seeedstudio.com\/media\/catalog\/product\/1\/0\/100046979-application_img_2.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eOutdoor AMRs are increasingly deployed in urban and facility management environments to perform autonomous security patrols and last-mile delivery services. These multi-purpose robots are designed to navigate seamlessly through both indoor and outdoor environments. Therefore they need reComputer Rugged with NVIDIA® Jetson Orin™ as brain of AI-powered navigation systems that combine LiDAR, ultrasonic sensors, cameras, and GPS to map complex environments and avoid pedestrians, vehicles, and obstacles in real-time.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_rugged_J401_datasheet.pdf\"\u003eUser Manual \u0026amp; Datasheet\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Rugged%20J401%20Carrier%20Board%20V1.1_SCH.pdf\"\u003eCarrier Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Rugged%20J401%20PSE%20Board%20V1.1_SCH.pdf\"\u003ePSE Board Schematic\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Rugged_asm.stp\"\u003e3D File\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-NVIDIA_Jetson_Catalog_V1.4.pdf\"\u003eSeeed NVIDIA Jetson Product Catalog\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\"\u003eNvidia Jetson Comparison\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\"\u003eSeeed Nvidia Jetson Success Cases\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\"\u003eSeeed Jetson One Pager\u003cbr\u003e\u003c\/a\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eJetson Orin™ NX 16GB module\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eSeeed Carrier Board (reComputer Rugged J401)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eAluminum Case and Heatsink\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eWaterproof USB Cable; Type A to Type A\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 A-code Power Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 A-code 8-pin Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eM12 X-code to RJ45 Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eTerminal Block female\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eTerminal Block male\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eDC Power cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eUSB Type-C to Type-A Cable\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8616%;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.7217%;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":53120902365501,"sku":"SBC1170","price":342299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/0-recomputer-rugged-adapted_2.jpg?v=1789979944"},{"product_id":"thinkrobotics-edge-ai-device-with-nvidia-jetson-orin-nano-4gb-8gb-module-dual-ethernet","title":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin Nano 4GB \/ 8GB module (Dual Ethernet)","description":"\u003cstyle\u003e\n.tr-edge-ai {\n    max-width: 1100px;\n    margin: 20px auto;\n    padding: 30px;\n    background: #ffffff;\n    color: #263445;\n    font-family: Arial, Helvetica, sans-serif;\n    font-size: 15px;\n    line-height: 1.7;\n    text-align: center;\n    border: 1px solid #e2e8f0;\n    border-radius: 14px;\n    box-shadow: 0 5px 20px rgba(20, 40, 60, 0.06);\n}\n\n.tr-edge-ai * {\n    box-sizing: border-box;\n}\n\n.tr-edge-ai h2 {\n    margin: 38px 0 18px;\n    padding-bottom: 10px;\n    color: #172b43;\n    font-size: 25px;\n    font-weight: 700;\n    text-align: center;\n    border-bottom: 2px solid #e6edf4;\n}\n\n.tr-edge-ai h3 {\n    margin: 25px 0 12px;\n    color: #244b70;\n    font-size: 19px;\n    font-weight: 700;\n    text-align: center;\n}\n\n.tr-edge-ai p {\n    margin: 14px auto;\n    text-align: center;\n}\n\n.tr-edge-ai a {\n    color: #1769aa;\n    text-decoration: none;\n    font-weight: 600;\n}\n\n.tr-edge-ai a:hover {\n    text-decoration: underline;\n}\n\n.tr-edge-ai .tr-title {\n    margin: 0 0 20px;\n    padding: 0;\n    color: #142b43;\n    font-size: 30px;\n    line-height: 1.35;\n    border: none;\n}\n\n.tr-edge-ai .tr-intro {\n    color: #526477;\n    font-size: 16px;\n}\n\n.tr-edge-ai .tr-highlights {\n    display: flex;\n    flex-wrap: wrap;\n    justify-content: center;\n    gap: 10px;\n    margin: 25px 0;\n}\n\n.tr-edge-ai .tr-highlight {\n    padding: 9px 16px;\n    color: #174f7d;\n    background: #edf6fd;\n    border: 1px solid #d1e7f7;\n    border-radius: 30px;\n    font-size: 13px;\n    font-weight: 700;\n}\n\n.tr-edge-ai .tr-table-wrap {\n    width: 100%;\n    margin: 20px auto 28px;\n    overflow-x: auto;\n    border: 1px solid #dce4ed;\n    border-radius: 8px;\n}\n\n.tr-edge-ai table {\n    width: 100%;\n    margin: 0;\n    border-collapse: collapse;\n    background: #ffffff;\n}\n\n.tr-edge-ai th,\n.tr-edge-ai td {\n    padding: 13px 12px;\n    border: 1px solid #dce4ed;\n    text-align: center;\n    vertical-align: middle;\n}\n\n.tr-edge-ai th {\n    color: #203c58;\n    background: #edf3f8;\n    font-weight: 700;\n}\n\n.tr-edge-ai tbody tr:nth-child(even) {\n    background: #f8fafc;\n}\n\n.tr-edge-ai .tr-product-image {\n    display: block;\n    max-width: 100%;\n    height: auto;\n    margin: 25px auto;\n    border-radius: 8px;\n}\n\n.tr-edge-ai .tr-note {\n    margin: 20px auto;\n    padding: 16px 20px;\n    color: #536273;\n    background: #f5f8fb;\n    border: 1px solid #e1e8ef;\n    border-radius: 8px;\n    text-align: center;\n}\n\n.tr-edge-ai .tr-datasheet {\n    display: inline-block;\n    margin: 12px auto;\n    padding: 12px 20px;\n    color: #ffffff;\n    background: #1769aa;\n    border-radius: 7px;\n    text-align: center;\n}\n\n.tr-edge-ai .tr-datasheet:hover {\n    color: #ffffff;\n    background: #125487;\n    text-decoration: none;\n}\n\n@media screen and (max-width: 700px) {\n    .tr-edge-ai {\n        margin: 0;\n        padding: 18px 12px;\n        border-radius: 0;\n    }\n\n    .tr-edge-ai .tr-title {\n        font-size: 24px;\n    }\n\n    .tr-edge-ai h2 {\n        font-size: 22px;\n    }\n\n    .tr-edge-ai table {\n        min-width: 500px;\n    }\n\n    .tr-edge-ai th,\n    .tr-edge-ai td {\n        padding: 9px 7px;\n        font-size: 13px;\n    }\n}\n\u003c\/style\u003e\n\u003cdiv class=\"tr-edge-ai\"\u003e\n\u003c!-- PRODUCT TITLE --\u003e\n\u003ch2 class=\"tr-title\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin Nano 4GB \/ 8GB Module (Dual Ethernet)\u003c\/h2\u003e\n\u003c!-- INTRODUCTION --\u003e\n\u003cp class=\"tr-intro\"\u003eThinkRobotics Edge AI Device is a powerful and compact intelligent edge computing system built around the NVIDIA Jetson Orin Nano 4GB or 8GB production module. Powered by NVIDIA Ampere™ GPU architecture and a 64-bit Arm CPU, it delivers efficient AI inference and accelerated computing for edge applications, including computer vision, robotics, video analytics and industrial automation.\u003c\/p\u003e\n\u003c!-- KEY HIGHLIGHTS --\u003e\n\u003cdiv class=\"tr-highlights\"\u003e\n\u003cspan class=\"tr-highlight\"\u003eOrin Nano 4GB \/ 8GB\u003c\/span\u003e \u003cspan class=\"tr-highlight\"\u003eUp to 67 TOPS AI Performance*\u003c\/span\u003e \u003cspan class=\"tr-highlight\"\u003eDual Ethernet\u003c\/span\u003e \u003cspan class=\"tr-highlight\"\u003e240GB NVMe SSD\u003c\/span\u003e \u003cspan class=\"tr-highlight\"\u003eLatest JetPack\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cp\u003eThe complete system includes one NVIDIA Jetson Orin Nano 4GB or 8GB module, the \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003e \u003c\/a\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/waveshare-jetson-orin-nano-nx-carrier-board-with-dual-ethernet\" rel=\"noopener\" target=\"_blank\"\u003eWaveshare Jetson Orin IO Base B carrier board\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003e \u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" rel=\"noopener\" target=\"_blank\"\u003eheatsink and cooling fan \u003c\/a\u003e, an RTL8822CE wireless module, a power adapter, and a 3D-printed carbon-fiber or aluminium case, depending on the selected configuration.\u003c\/p\u003e\n\u003cp\u003eThe device is supplied with a 240GB NVMe SSD and is configured with latest JetPack, subject to the selected module and software compatibility. It provides a compact platform for developing and deploying AI solutions in smart cities, security, industrial automation, smart factories, medical imaging and robotics.\u003c\/p\u003e\n\u003cdiv class=\"tr-note\"\u003e\n\u003cstrong\u003eNote:\u003c\/strong\u003e Maximum AI performance depends on the selected module and operating mode. The Orin Nano 8GB module supports up to 67 TOPS, while the Orin Nano 4GB module supports up to 34 TOPS. Refer to the NVIDIA datasheet for module-specific specifications. Verify the supplied JetPack version against the selected configuration before deployment.\u003c\/div\u003e\n\u003c!-- FEATURES --\u003e\n\u003ch2\u003eFeatures\u003c\/h2\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eFeature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eOn-device AI processing with up to 67 TOPS on the 8GB module or up to 34 TOPS on the 4GB module, supporting low-latency edge inference.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCompact Form Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eHand-sized edge AI device measuring approximately 130 × 120 × 58.5 mm, featuring the Jetson Orin Nano module, cooling fan and heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eI\/O Interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3 × USB 3.2 Gen 2, 1 × USB 2.0, DisplayPort output, 2 × CSI camera interfaces, 1 × Gigabit Ethernet, 1 × 2.5 Gigabit Ethernet, M.2 Key E, M.2 Key M, CAN and GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eSoftware and Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e240GB NVMe SSD with JetPack software pre-installed as specified for the supplied configuration, providing access to the Jetson Linux software stack and compatible AI development frameworks.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eFCC, CE and RoHS certification status should be verified against the certification documentation for the complete supplied device.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c!-- DESCRIPTION --\u003e\n\u003ch2\u003eDescription\u003c\/h2\u003e\n\u003cp\u003eWith expansion interfaces, industrial peripherals and integrated thermal management, the ThinkRobotics Edge AI Device is designed to accelerate the development and deployment of AI applications at the edge.\u003c\/p\u003e\n\u003cp\u003eDevelopers can deploy deep neural network models and machine-learning frameworks for real-time image classification, object detection, pose estimation, semantic segmentation, video analytics and natural language processing (NLP).\u003c\/p\u003e\n\u003cp\u003eExplore the \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" rel=\"noopener\" target=\"_blank\"\u003e Jetson Orin Nano getting-started guides \u003c\/a\u003e and \u003ca href=\"https:\/\/developer.nvidia.com\/tensorrt\" rel=\"noopener\" target=\"_blank\"\u003e NVIDIA TensorRT \u003c\/a\u003e for information on deploying and optimizing AI inference workloads. Actual model performance depends on the model, input resolution, software and operating configuration.\u003c\/p\u003e\n\u003c!-- DEVELOPER TOOLS --\u003e\n\u003ch2\u003eDeveloper Tools\u003c\/h2\u003e\n\u003ch3\u003eJetPack Software Stack for Edge AI Development\u003c\/h3\u003e\n\u003cp\u003eThe \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" rel=\"noopener\" target=\"_blank\"\u003e NVIDIA Jetson software stack \u003c\/a\u003e begins with the JetPack SDK, which provides a development environment with CUDA-X accelerated libraries, drivers, tools and other NVIDIA technologies. JetPack includes the Jetson Linux Driver Package, kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem and development toolchains. Features and package availability depend on the selected JetPack release.\u003c\/p\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003ePlatform \/ Tool\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"7\" style=\"text-align: center;\"\u003e\u003cstrong\u003eComputer Vision \u0026amp; Embedded ML\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eStreaming analytics toolkit for AI-based video and multi-sensor processing.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eToolkit for fine-tuning and optimizing AI models for deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePlatform for building and deploying computer-vision applications using pre-trained models.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eEmbedded machine-learning workflow for classification, audio and object-detection applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eTools for preparing image datasets and deploying custom computer-vision models.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eYOLO Models\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eObject-detection models that can be optimized for supported Jetson software environments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eTools for benchmarking and optimizing AI model runtime performance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eSpeech AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Riva\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSDK for developing real-time speech AI applications. Verify compatibility with the installed JetPack release.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eRemote Fleet Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eAllxon\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePlatform for remote device management and over-the-air updates.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" style=\"text-align: center;\"\u003e\u003cstrong\u003eRobot \u0026amp; ROS Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eROS packages and accelerated computing tools for robotics applications on supported NVIDIA platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePlatform for managing and deploying autonomous robotics applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c!-- HARDWARE OVERVIEW --\u003e\n\u003ch2\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3\u003eDual Ethernet and Interface-Rich Carrier Board\u003c\/h3\u003e\n\u003cp\u003eThe Waveshare Jetson Orin IO Base B carrier board provides a range of interfaces for development and deployment, including DisplayPort, dual Ethernet, USB, M.2 expansion, CSI camera connections, CAN, GPIO, I²C, I²S and fan connectivity.\u003c\/p\u003e\n\u003cp\u003e\u003cimg class=\"tr-product-image\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_49f37cfe-1ace-4c08-bec3-f5ec00312b91.jpg?v=1765009615\" alt=\"Waveshare Jetson Orin IO Base B carrier board\"\u003e\u003c\/p\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eHardware Feature\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eModule Socket\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e260-pin SO-DIMM socket for compatible Jetson Orin Nano and Orin NX modules.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eControl Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e12-pin header supporting power, reset, debug serial, force recovery, auto power-up enable and power indicator functions.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003ePower Input\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDC jack supporting 9V–19V input with a compatible 5.5 × 2.5 mm plug.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2 × 22-pin CSI camera interfaces.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplayPort output supporting up to 4K, subject to display and system configuration.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eUSB Type-A\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4 × USB Type-A ports: 3 × USB 3.2 Gen 2 and 1 × USB 2.0.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1 × RJ45 Gigabit Ethernet port and 1 × RJ45 2.5 Gigabit Ethernet port.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eUSB Type-C\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUSB Type-C port for system flashing and data communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eInternal Headers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e40-pin header and 4-pin PWM fan header.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eInternal USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e2 × USB 2.0 connectors.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eFFC Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e0.5 mm pitch, 6-pin FFC connectors.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c!-- PART LIST --\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eItem\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003e\u003cstrong\u003eQuantity\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Jetson Orin Nano 4GB \/ 8GB Module\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eWaveshare Carrier Board (Base B) – Dual Ethernet\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eOfficial Cooling Fan for Jetson Orin\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e3D-Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c!-- DOCUMENTATION --\u003e\n\u003ch2\u003eDocumentation\u003c\/h2\u003e\n\u003cp\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003e Waveshare Jetson Orin IO Base B Wiki \u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca href=\"https:\/\/developer.download.nvidia.com\/assets\/embedded\/secure\/jetson\/orin_nano\/docs\/Jetson-Orin-Nano-Series-Modules-Datasheet_DS-11105-001_v1.7.pdf?t=eyJscyI6ImdzZW8iLCJsc2QiOiJodHRwczovL3d3dy5nb29nbGUuY29tLyJ9\u0026amp;__token__=exp=1791608857~hmac=220c1b039739aeff8c0f7b3d20399429510e58886d991d22dffc2da124845fe5\" rel=\"noopener\" target=\"_blank\"\u003eNVIDIA Jetson Orin Nano Module Datasheet\u003c\/a\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"4GB \/ 3D Printed Plastic","offer_id":67661711671613,"sku":"SBC1145-4","price":65849.99,"currency_code":"INR","in_stock":false},{"title":"4GB \/ Aluminium","offer_id":67661711704381,"sku":"SBC1145-4A","price":69749.99,"currency_code":"INR","in_stock":false},{"title":"8GB \/ 3D Printed Plastic","offer_id":67661711737149,"sku":"SBC1145-8","price":71599.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":67661711769917,"sku":"SBC1145-8A","price":75499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DSC2605.jpg?v=1774596576"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/collections\/NVIDIA_Jetson_Banner_v2_2x_b1cc213c-879e-495e-b2fd-7daf6077a7a0.jpg?v=1746871105","url":"https:\/\/thinkrobotics.com\/es\/collections\/nvidia-jetson.oembed?page=3","provider":"Atlantis Robotics","version":"1.0","type":"link"}