{"title":"AI Dev Kits","description":"","products":[{"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":"jetson-nano-compact-deploy-kit-online","title":"Kit de despliegue compacto ThinkRobotics Jetson Nano (B01 - 4GB)","description":"\u003ch2 style=\"text-align: center;\"\u003e\u003cspan data-sheets-userformat='{\"2\":707,\"3\":{\"1\":0},\"4\":{\"1\":2,\"2\":16777215},\"9\":1,\"10\":1,\"12\":0}' data-sheets-value='{\"1\":2,\"2\":\"SBC1023\"}' data-mce-fragment=\"1\"\u003eKit de desarrollo ThinkRobotics NVIDIA Jetson Nano\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003eLa potencia de la IA moderna ya está disponible para creadores, estudiantes y desarrolladores de sistemas embebidos de todo el mundo.\u003c\/p\u003e\n\u003cp\u003eEl kit de desarrollo NVIDIA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eJetson Nano\u003csup\u003e™\u003c\/sup\u003e es un ordenador pequeño y potente que le permite ejecutar múltiples redes neuronales en paralelo para aplicaciones como clasificación de imágenes, detección de objetos, segmentación y procesamiento de voz. Todo en una plataforma fácil de usar que funciona con tan solo 5 vatios.\u003c\/p\u003e\n\u003cp\u003eDebido a la falta de disponibilidad de los kits de desarrollo NVIDIA Jetson, ThinkRobotics le ofrece un kit de desarrollo Nano personalizado, con los siguientes componentes:\u003cbr\u003e\u003c\/p\u003e\n\u003cul\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/weact-studio-tx2-nx-carrier-board?_pos=2\u0026amp;_psq=weact\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003ePlaca portadora WeAct\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eMódulo Jetson Nano\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\n\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/jetson-nano-heatsink?_pos=2\u0026amp;_psq=nano%20heat%20\u0026amp;_ss=e\u0026amp;_v=1.0\"\u003eDisipador de calor Jetson Nano\u003c\/a\u003e \u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eEmpiece hoy mismo con el kit de desarrollo Jetson Nano, precargado con Ubuntu; estos kits están listos para usar desde el primer momento. \u003c\/strong\u003e\u003c\/p\u003e\n\u003ch4\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cstrong\u003eDescuento disponible para compras al por mayor. Contáctenos para la carga de arranque personalizada y la creación de scripts del módulo Nano. Podemos prepararlo para IA por usted.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h4\u003e\n\u003cp\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\u003cp\u003eLa placa portadora de WeAct Studio cumple con los requisitos establecidos por los módulos Xavier NX, TX2 NX y Nano, incluyendo un amplio rango de entrada de voltaje, una variedad de interfaces, bajo consumo de energía, protección de energía y una gran cantidad de otras características.\u003c\/p\u003e\n\u003cul\u003e\n\n\u003cli\u003eAdecuado para módulos NVIDIA Jetson Nano, Xavier NX y TX2 NX\u003c\/li\u003e\n\n\u003cli\u003eVoltaje de entrada: 7V ~ 26V\u003c\/li\u003e\n\n\u003cli\u003eConsumo máximo de energía: 25W\u003c\/li\u003e\n\n\u003cli\u003eTemperatura de funcionamiento: 0℃ ~ 70\u003cmeta charset=\"UTF-8\"\u003e \u003cspan data-mce-fragment=\"1\"\u003e℃\u003c\/span\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003eTamaño: 90mm X 60mm X 24mm\u003c\/li\u003e\n\n\u003cli\u003ePeso: 58g\u003c\/li\u003e\n\n\u003cli\u003eInterfaces: USB3.0 x2, USB2.0 x2, USB_OTG x1, MicroSD x1, MiniPCIE x1, HDMI x1, CAN x1 (Xavier NX, TX2 NX), MIPI CSI x2, Giga Ethernet x1, 3.3V UART x2, 3v3 GPIO x2\u003c\/li\u003e\n\n\u003cli\u003eFunciones adicionales:\u003c\/li\u003e\n\n\u003cul\u003e\n\n\u003cli\u003eAdmite arranque automático \/ suspensión \/ apagado mediante pulsación larga\u003c\/li\u003e\n\n\u003cli\u003eAdmite protección OPP \/ OVP \/ OCP\u003c\/li\u003e\n\n\u003cli\u003eAdmite protección de energía periférica \/ protección ESD de interfaz completa\u003c\/li\u003e\n\n\u003cli\u003eCircuito de descarga\u003c\/li\u003e\n\n\u003cli\u003eAdmite tarjeta de red inalámbrica Wifi \/ 4G PCIe integrada\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cli\u003eManual de usuario en \u003ca href=\"https:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\" target=\"_blank\"\u003e\u003cspan data-mce-fragment=\"1\"\u003e\u003cstrong data-spm-anchor-id=\"a2g0o.detail.1000023.i0.3e8b610c9PvGvV\" data-mce-fragment=\"1\"\u003ehttps:\/\/github.com\/WeActTC\/Nano_TX2-Xavier_NX-CB\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/H2cd7979d19884a5daacf8adfcd792400R.jpg?v=1641315440\" alt=\"\"\u003e\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Default Title","offer_id":39902193746006,"sku":"SBC1023","price":28999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC1023-1.png?v=1654827854"},{"product_id":"nvidia-jetson-nano-developer-kit-online-b01-4gb","title":"Kit de despliegue ThinkRobotics Jetson Nano (B01 - 4GB)","description":"\u003cp\u003e\u003cmeta charset=\"UTF-8\"\u003e\u003cstrong\u003eEl kit de desarrollo NVIDIA Jetson Nano (4GB) de ThinkRobotics viene con una placa base rica en interfaces de SEEED studio, con Jetpack preinstalado.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eLa placa base J101 es una placa base compatible con NVIDIA Jetson Nano rentable y rica en interfaces. Incluye HDMI 2.0, 2x USB 2.0, 1x USB 3.0, ranura para tarjeta micro SD, 2x CSI, M.2 key E WIFI \/ BT, GPIO, I2C, I2S, ventilador y otras interfaces periféricas enriquecidas. Tiene casi el mismo diseño funcional y exactamente el mismo tamaño que la placa base del NVIDIA® Jetson Nano™ B01.\u003c\/span\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\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cstrong\u003eEl color de la carcasa puede variar.\u003c\/strong\u003e Para la personalización de la carcasa impresa en 3D y la programación, contáctenos. La placa base y los módulos vienen con una garantía limitada del fabricante de 1 año respaldada por ThinkRobotics.\u003c\/span\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\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNota: La fuente de alimentación no está incluida en el kit y debe comprarse por separado.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #2b00ff;\"\u003e\u003cstrong\u003eMás de 100 unidades disponibles. Por lo general, se envía en 3 días hábiles.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: #085d87;\"\u003e\u003cstrong\u003eDocumentación y Wiki:\u003c\/strong\u003e Consulte también la \u003cem\u003e\u003cstrong\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" style=\"color: #085d87; text-decoration: underline;\" target=\"_blank\"\u003eguía wiki de Seeed\u003c\/a\u003e\u003c\/strong\u003e\u003c\/em\u003e, que incluye cómo comenzar con Jetson Nano y cómo construir diferentes proyectos.\u003c\/span\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\"\u003eCaracterísticas\u003c\/h3\u003e\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-3pt pap-spacing-after-3pt\"\u003ePerfectamente adaptado: Diseño para \u003cstrong\u003emódulo Jetson Nano\u003c\/strong\u003e (SODIMM de 260 pines).\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003eAlternativa de placa base para kit de desarrollo\u003c\/strong\u003e: Coincide 1:1 en tamaño y tiene casi el mismo diseño funcional que la placa base del kit de desarrollo Nano oficial de Nvidia.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003eAlmacenamiento expandible\u003c\/strong\u003e: Ranura para tarjeta SD para expansión de almacenamiento del módulo Nano (16GB eMMC).\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003ePeriféricos enriquecidos\u003c\/strong\u003e: Mayor estabilidad de rendimiento gracias a puertos USB 3.0, USB 2.0, M.2 key E para WIFI, RTC, GPIO de 40 pines tipo Raspberry Pi, y más.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003eSúper rentable\u003c\/strong\u003e: Adecuado para un buen inicio y una evaluación rápida de aplicaciones de IA.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDisponible opcionalmente con carcasa impresa en 3D.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCertificaciones integrales: FCC, CE, RoHS, KC.\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"960\" height=\"960\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J101boardspec.png\"\u003e\u003c\/p\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003ch3 class=\"p\"\u003eFuncionalidad\u003c\/h3\u003e\n\n\u003cp class=\"p\"\u003eAl trabajar con el módulo NVIDIA Jetson Nano, impulsado por NVIDIA Maxwell con 128 núcleos NVIDIA CUDA®, está listo para llevar el poder de la IA moderna a todos: creadores, estudiantes y desarrolladores de sistemas embebidos.\u003c\/p\u003e\n\n\u003cp class=\"p\"\u003eCon el módulo NVIDIA Jetson Nano ensamblado, puede admitir \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, que incluye un paquete de soporte de placa (BSP), SO Linux, NVIDIA CUDA®, cuDNN y bibliotecas de software TensorRT™ para aprendizaje profundo, visión artificial, computación GPU, procesamiento multimedia y mucho más. Con sus múltiples conectores de cámara, es adecuado para ejecutar múltiples redes neuronales en paralelo para aplicaciones como clasificación de imágenes, detección de objetos, segmentación y procesamiento de voz.\u003c\/p\u003e\n\n\u003ch2 dir=\"ltr\"\u003eAplicaciones de IA de borde (Edge AI)\u003c\/h2\u003e\n\n\u003cp dir=\"ltr\"\u003eAl trabajar con el módulo Jetson Nano, reComputer J101 está listo para llevar el poder de la IA moderna a aplicaciones del mundo real como reconocimiento de imágenes, detección de objetos, estimación de postura, procesamiento de video y muchas más. ¡Eche un vistazo al siguiente ejemplo de aplicación con tutoriales!\u003c\/p\u003e\n\n\u003cul\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003eDetección de peatones por Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eDetección de casco de seguridad\u003c\/a\u003e y creación de detección de EPP personalizada\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003eEstimación de postura con alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eDetección visual de anomalías usando NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eDetección de artículos en tiendas minoristas\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de incendios forestales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de animales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cp dir=\"ltr\"\u003e¡Encuentre en la página de \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eRecursos de la comunidad Jetson\u003c\/a\u003e herramientas y tutoriales creados por la comunidad para potenciar su experiencia de desarrollo, y consulte la página de \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eProyectos comunitarios\u003c\/a\u003e para inspirarse en su próximo proyecto!\u003c\/p\u003e\n\n\u003cp dir=\"ltr\"\u003e \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch3\u003eEspecificaciones:\u003c\/h3\u003e\n\n\u003cdiv\u003e\n\n\u003cul\u003e\n\n\u003cli\u003eCompatibilidad de módulo: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_sid=d0c5055a4\u0026amp;_ss=r\" target=\"_blank\"\u003eSerie Jetson Nano\u003c\/a\u003e\n\u003c\/li\u003e\n\n\u003cli\u003eTamaño de PCB \/ Tamaño total: 100mm X 80mm\u003c\/li\u003e\n\n\u003cli\u003ePantalla: 1x HDMI y 1x DP\u003c\/li\u003e\n\n\u003cli\u003eCámara CSI: 2\u003c\/li\u003e\n\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\n\u003cli\u003eUSB: 1x USB Tipo-C (Entrada de alimentación); 1x USB 3.0 Tipo-A (5 Gbps); 2x USB 2.0 Tipo-A; 1x USB Tipo-C (modo dispositivo)\u003c\/li\u003e\n\n\u003cli\u003eTarjeta micro SD: 1x ranura para tarjeta Micro SD (frecuencia de reloj de 48MHz)\u003cbr\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003eM.2 Key E\u003c\/li\u003e\n\n\u003cli\u003eVENTILADOR: 1x conector de ventilador\u003c\/li\u003e\n\n\u003cli\u003ePuerto multifuncional: 1x 40 pines, 1x 12 pines\u003c\/li\u003e\n\n\u003cli\u003eRTC: RTC de 2 pines, zócalo RTC (reservado)\u003c\/li\u003e\n\n\u003cli\u003eFuente de alimentación: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/20w-5v-4a-power-supply-for-nvidia-jetson-nano?_pos=2\u0026amp;_psq=usb+power+supply\u0026amp;_ss=e\u0026amp;_v=1.0\u0026amp;variant=39626382016598\" target=\"_blank\"\u003e5V\/4A (USB Tipo C)\u003c\/a\u003e\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003ch3\u003eComparación con la placa base de los kits de desarrollo de la serie NVIDIA Nano:\u003c\/h3\u003e\n\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J101v2.png\" height=\"auto\" width=\"auto\" class=\"lazy\"\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Without Case","offer_id":40058803585110,"sku":"SBC2067-NoC","price":34299.99,"currency_code":"INR","in_stock":false},{"title":"With 3D Printed Case","offer_id":40058803617878,"sku":"SBC2067-3D","price":34999.99,"currency_code":"INR","in_stock":false},{"title":"With 3D Printed Case for High Temp Applications","offer_id":40058803650646,"sku":"SBC2067-HT","price":35999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC2067-4.png?v=1661936011"},{"product_id":"nvidia-jetson-xavier-nx-developer-kit-online","title":"Kit de desarrollo ThinkRobotics NVIDIA Jetson Xavier NX - Compacto","description":"\u003cp\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\"\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cstrong\u003eEl Kit de Desarrollo ThinkRobotics NVIDIA Jetson Xavier NX viene con una placa base rica en interfaces de SEEED studio y Jetpack preinstalado.\u003c\/strong\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\"\u003eLa placa base reComputer J202 tiene casi el mismo diseño y función que la placa base de NVIDIA® Jetson Xavier NX™, funciona perfectamente con el módulo Jetson Nano\/Xavier NX y consta de puertos USB 3.2 gen 2 (4x), M.2 key E para WIFI, M.2 Key M para SSD, RTC, CAN, Raspberry Pi GPIO de 40 pines, entre otros.\u003cbr\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\"\u003eLa placa base puede funcionar como una alternativa a la placa base del Kit de Desarrollo NVIDIA Jetson Xavier NX, acelerando el desarrollo y despliegue de su próxima aplicación de IA.\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\u003cspan style=\"color: #ff2a00;\"\u003eNOTA: EL TIEMPO DE ENTREGA PUEDE VARIAR ENTRE 7 A 10 DÍAS HÁBILES. Para ensamblaje, programación y diseño de carcasa, por favor contáctenos.\u003c\/span\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\"\u003e\u003cspan style=\"color: #ff2a00;\"\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan\u003eLa placa base y los módulos cuentan con una garantía limitada del fabricante de 1 año respaldada por ThinkRobotics.\u003c\/span\u003e\u003c\/span\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\"\u003e\u003cem\u003e\u003cspan style=\"color: #000000;\"\u003e¡La hoja de datos de la placa base J202 se puede encontrar \u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/reComputer-J202-carrier-board-datasheet.pdf\" target=\"_blank\"\u003eaquí\u003c\/a\u003e!\u003c\/span\u003e\u003c\/em\u003e\u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\u003cspan style=\"color: #000000;\"\u003eEl paquete incluye:\u003c\/span\u003e\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003ePlaca base J202\u003c\/li\u003e\n\n\u003cli\u003eMódulo Xavier NX\u003c\/li\u003e\n\n\u003cli\u003eDisipador de calor activo\u003c\/li\u003e\n\n\u003cli\u003eNVMe (Opcional)\u003c\/li\u003e\n\n\u003cli\u003eFuente de alimentación de 12V \/ 5A\u003c\/li\u003e\n\n\u003cli\u003eCarcasa impresa en 3D (PLA o CF PETG)\u003c\/li\u003e\n\n\n\u003c\/ul\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\"\u003eCaracterísticas\u003c\/h3\u003e\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-3pt pap-spacing-after-3pt\"\u003ePerfectamente adaptado: Diseño para \u003cstrong\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (SODIMM de 260 pines).\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003eAlternativa a la placa base del Kit de Desarrollo\u003c\/strong\u003e: Coincide 1:1 en tamaño y tiene casi el mismo diseño funcional que la placa base del Kit de Desarrollo oficial de Nvidia Jetson Xavier NX.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003ePeriféricos ricos\u003c\/strong\u003e: Una estabilidad de rendimiento superior que consta de puertos USB 3.2 gen 2 (4x), M.2 key E para WIFI, M.2 Key M para SSD, RTC, CAN, Raspberry Pi GPIO de 40 pines, entre otros.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e\n\n\u003cstrong\u003eAlta versatilidad\u003c\/strong\u003e: Adecuado para aplicaciones gráficas complejas de IA.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCertificaciones completas: FCC, CE, RoHS, KC\u003c\/li\u003e\n\n\n\u003c\/ul\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\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/h2\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cdiv\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\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003cp class=\"p\"\u003ereComputer J202 es una placa base de alto rendimiento y rica en interfaces compatible con NVIDIA Jetson Nano \/ Xavier NX, que proporciona \u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB3.1 Gen 2, M.2 key E wifi \/ BT, M.2 key M, cámara CSI, CAN, GPIO, I2C, I2S, ventilador\u003c\/strong\u003e y otras ricas interfaces periféricas. Tiene el mismo diseño funcional y tamaño que la placa base del \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e. \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch3 class=\"p\"\u003eFuncionalidad\u003c\/h3\u003e\n\n\u003cp class=\"p\"\u003eCon el módulo NVIDIA Jetson ensamblado, puede admitir \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, que incluye un paquete de soporte de placa (BSP), sistema operativo Linux, NVIDIA CUDA®, cuDNN y bibliotecas de software TensorRT™ para aprendizaje profundo, visión artificial, computación GPU, procesamiento multimedia y mucho más.\u003c\/p\u003e\n\n\u003cp class=\"p\"\u003eCon sus múltiples conectores de cámara, es adecuado para ejecutar múltiples redes neuronales en paralelo para aplicaciones como clasificación de imágenes, detección de objetos, segmentación y procesamiento de voz. \u003c\/p\u003e\n\n\u003ch3\u003eEspecificaciones:\u003c\/h3\u003e\n\n\u003cdiv\u003e\n\n\u003cul\u003e\n\n\u003cli\u003eCompatibilidad de módulos: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/ \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003eTamaño de PCB \/ Tamaño total: 100mm X 80mm\u003c\/li\u003e\n\n\u003cli\u003ePantalla: 1x HDMI y 1x DP\u003c\/li\u003e\n\n\u003cli\u003eCámara CSI: 2\u003c\/li\u003e\n\n\u003cli\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\n\u003cli\u003eUSB: 4x USB 3.1 Type-A (10Gbps para NX, 5Gbps para Nano); 1x USB Type-C (Modo dispositivo)\u003c\/li\u003e\n\n\u003cli\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003eVENTILADOR: 1x conector de ventilador\u003c\/li\u003e\n\n\u003cli\u003e1x CAN\u003c\/li\u003e\n\n\u003cli\u003ePuerto multifuncional: 1x 40-pines, 1x 12-pines\u003c\/li\u003e\n\n\u003cli\u003eRTC: RTC de 2 pines, zócalo RTC (reservado)\u003c\/li\u003e\n\n\u003cli\u003eFuente de alimentación: 12V\/5A (conector cilíndrico 5.5\/2.1mm)\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003ch2 dir=\"ltr\"\u003eAplicaciones de IA en el borde (Edge AI)\u003c\/h2\u003e\n\n\u003cp dir=\"ltr\"\u003eTrabaje con hasta 21 TOPS de rendimiento de IA proporcionados por el Jetson Xavier NX; ofrece la capacidad de desarrollar y probar soluciones inteligentes de bajo consumo y factor de forma pequeño con inferencia de IA multimodal precisa en todas las industrias.\u003c\/p\u003e\n\n\u003cul\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003eDetección de peatones por Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eDetección de casco\u003c\/a\u003e y creación de detección personalizada de EPP\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003eEstimación de pose con alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eDetección visual de anomalías usando NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eDetección de artículos en tiendas minoristas\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de incendios forestales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de animales\u003c\/a\u003e \u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cp dir=\"ltr\"\u003eEncuentre en la página de \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eRecursos de la Comunidad Jetson\u003c\/a\u003e herramientas y tutoriales que la comunidad ha creado para potenciar su experiencia de desarrollo, ¡y consulte la página de \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eProyectos de la Comunidad\u003c\/a\u003e para inspirar su próximo proyecto! \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv\u003eConsulte también la \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eguía wiki de Seeed\u003c\/strong\u003e\u003c\/a\u003e, que incluye cómo comenzar con Jetson Nano y cómo construir diferentes proyectos. \u003c\/div\u003e\n\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\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\"\u003eComparación con las placas base del Kit de Desarrollo NVIDIA Xavier NX\u003c\/h3\u003e\n\n\u003cp\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch3\u003e Descripción general del hardware\u003c\/h3\u003e\n\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" height=\"900\" width=\"900\" class=\"lazy\"\u003e\u003c\/p\u003e\n\n\u003cp\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"8GB \/ No SSD","offer_id":40045221707862,"sku":"SBC1025.1","price":90599.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 240GB SSD","offer_id":40045221773398,"sku":"SBC1025.1+SBC2105.24","price":97999.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 480GB SSD","offer_id":43952852697405,"sku":"SBC1025.1+SBC2105.48","price":100549.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 960GB SSD","offer_id":43952852730173,"sku":"SBC1025.1+SBC2105.96","price":108199.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ No SSD","offer_id":40045267189846,"sku":"SBC1025.2","price":117999.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 240GB SSD","offer_id":40045267222614,"sku":"SBC1025.2+SBC2105.24","price":125399.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 480GB SSD","offer_id":43952852762941,"sku":"SBC1025.2+SBC2105.48","price":127949.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 960GB SSD","offer_id":43952852795709,"sku":"SBC1025.2+SBC2105.96","price":135599.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/XAVIERNX-2.png?v=1662619630"},{"product_id":"recomputer-j2012-j2021-edge-ai-device-with-jetson-xavier-nx-online","title":"Dispositivo Edge AI ThinkRobotics con módulo Jetson Xavier NX, carcasa de aluminio, basado en reComputer J2012 \/ J2021","description":"\u003ch2 style=\"text-align: center;\"\u003eDispositivo de IA de borde con módulo Jetson Xavier NX\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eCaja de aluminio | Jetpack preinstalado | reComputer J2012 \/ J2021\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\n\u003cp style=\"text-align: center;\"\u003eCon abundantes módulos de expansión, periféricos industriales y gestión térmica, reComputer para Jetson está listo para ayudarle a acelerar y escalar productos de IA de próxima generación mediante el despliegue de modelos DNN populares y marcos de trabajo de ML en el borde, permitiendo una inferencia de alto rendimiento para tareas como clasificación y detección de objetos en tiempo real, estimación de poses, segmentación semántica y procesamiento de lenguaje natural (NLP).\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003eEn Seeed Studio encontrará todo lo necesario para trabajar con la plataforma NVIDIA Jetson: kits de desarrollo oficiales de NVIDIA Jetson, placas portadoras diseñadas por Seeed, dispositivos de borde y accesorios.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003ch2 style=\"text-align: center;\" dir=\"ltr\"\u003eCaracterísticas\u003c\/h2\u003e\n\n\u003ctable style=\"border-collapse: collapse; width: 95.3726%; margin-left: auto; margin-right: auto;\" height=\"396\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\n\u003cstrong\u003eDispositivo de IA de borde del tamaño de una mano\u003c\/strong\u003e, construido con el módulo de producción Jetson Xavier NX de 16GB, que ofrece 384 núcleos NVIDIA CUDA® y hasta 21 TOPs de rendimiento de IA, con un factor de forma compacto de 130mm × 120mm × 50mm.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\n\u003cstrong\u003eAlternativa al kit de desarrollo NVIDIA Jetson Xavier NX:\u003c\/strong\u003e la placa portadora proporciona una rica E\/S, incluyendo un puerto Gigabit Ethernet, 4 puertos USB 3.0 tipo A, un puerto HDMI y un puerto DP.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\n\u003cstrong\u003eNVIDIA JetPack preinstalado\u003c\/strong\u003e, compatible con toda la pila de software de Jetson y varias herramientas de desarrollo de los socios de Seeed Edge AI, lo que permite un desarrollo de aplicaciones de IA rápido y robusto para manufactura, logística, comercio minorista, servicios, agricultura, ciudades inteligentes, atención médica y ciencias biológicas.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\n\u003cstrong\u003eOperación eficiente: \u003c\/strong\u003econsume tan solo 10 vatios mientras ofrece una inferencia de IA multimodal, precisa y de alto rendimiento en el borde.\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 10px; text-align: center; width: 100%;\"\u003e\n\n\u003cstrong\u003eExpandible\u003c\/strong\u003e a través de interfaces integradas y la carcasa reComputer; admite montaje en pared utilizando los orificios de montaje en la parte posterior.\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\u003e\n\n\u003cdiv class=\"document\"\u003e\n\n\u003ch2 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\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" height=\"1200\" width=\"1200\" class=\"lazy\"\u003e\u003c\/h2\u003e\n\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\n\u003cdiv\u003e\n\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\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\"\u003eDescripción\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\n\u003cp style=\"text-align: center;\" class=\"p\"\u003ereComputer J202 es una placa portadora de alto rendimiento y rica en interfaces compatible con NVIDIA Jetson Nano \/ Xavier NX, que proporciona \u003cstrong\u003eHDMI 2.0, Gigabit Ethernet, USB 3.1 Gen 2, M.2 Key E para Wi-Fi\/BT, M.2 Key M, cámara CSI, CAN, GPIO, I2C, I2S, ventilador\u003c\/strong\u003e y otras interfaces periféricas. Tiene el mismo diseño funcional y tamaño que la placa portadora del \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan\u003e\u003cspan class=\"15\"\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003cp style=\"text-align: left;\" class=\"p\"\u003e \u003c\/p\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"p\"\u003eFuncionalidad\u003c\/h2\u003e\n\n\u003cp style=\"text-align: center;\" class=\"p\"\u003eCon el módulo NVIDIA Jetson ensamblado, admite \u003cstrong\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, que incluye un paquete de soporte de placa (BSP), SO Linux, NVIDIA CUDA®, cuDNN y bibliotecas de software TensorRT™ para aprendizaje profundo, visión artificial, computación GPU, procesamiento multimedia y mucho más.\u003c\/p\u003e\n\n\u003cp style=\"text-align: center;\" class=\"p\"\u003eGracias a sus múltiples conectores de cámara, es adecuado para ejecutar múltiples redes neuronales en paralelo para aplicaciones como clasificación de imágenes, detección de objetos, segmentación y procesamiento de voz.\u003c\/p\u003e\n\n\u003cp class=\"p\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\n\u003ch2 style=\"text-align: center;\"\u003eEspecificaciones\u003c\/h2\u003e\n\n\u003ctable height=\"528\" style=\"border-collapse: collapse; width: 93.1517%; margin-left: auto; margin-right: auto;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eCompatibilidad de módulo\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003eXavier NX\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eTamaño de PCB \/ Tamaño total\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e100mm × 80mm\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003ePantalla\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × HDMI, 1 × DP\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eCámara CSI\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e2\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × Gigabit Ethernet (10\/100\/1000M)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e4 × USB 3.1 tipo A (10Gbps para NX, 5Gbps para Nano)\u003cbr\u003e1 × USB tipo C (modo dispositivo)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eRanuras M.2\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × M.2 Key E, 1 × M.2 Key M\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eVentilador\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × Conector de ventilador\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eCAN\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × CAN\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003ePuerto multifuncional\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e1 × 40 pines, 1 × 12 pines\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eRTC\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003eRTC de 2 pines, zócalo RTC (reservado)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 51.6369%; text-align: center;\"\u003e\u003cstrong\u003eFuente de alimentación\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 48.3857%; text-align: center;\"\u003e12V \/ 5A (conector barril 5.5 \/ 2.1mm)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\u003cp class=\"p\"\u003e \u003c\/p\u003e\n\n\u003cdiv style=\"text-align: left;\" class=\"document\"\u003e\n\n\u003ch2 style=\"text-align: center;\" dir=\"ltr\"\u003eAplicaciones de IA de borde\u003c\/h2\u003e\n\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003eCon hasta 21 TOPS de rendimiento de IA proporcionados por Jetson Xavier NX, ofrece la capacidad de desarrollar y probar soluciones inteligentes de factor de forma pequeño y bajo consumo con inferencia de IA multimodal y precisa en diversas industrias.\u003c\/p\u003e\n\n\u003cul\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003eDetección de peatones por Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eDetección de cascos de seguridad\u003c\/a\u003e y creación de detección personalizada de EPP\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003eEstimación de poses con alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eDetección visual de anomalías usando NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eDetección de artículos en tiendas minoristas\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: center;\" dir=\"ltr\"\u003e\n\n\u003cp dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de incendios forestales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\"\u003e\n\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de animales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cp style=\"text-align: center;\" dir=\"ltr\"\u003eEncuentre en la página de \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003erecursos de la comunidad Jetson\u003c\/a\u003e herramientas y tutoriales creados por la comunidad para potenciar su experiencia de desarrollo, ¡y visite la página de \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eproyectos comunitarios\u003c\/a\u003e para inspirar su próximo proyecto!\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003eConsulte también la \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong\u003eguía wiki de Seeed\u003c\/strong\u003e\u003c\/a\u003e, que incluye los primeros pasos con Jetson Nano y cómo desarrollar diferentes proyectos.\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" class=\"lazy\" width=\"1200\" height=\"1200\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: left;\"\u003e\n\n\u003cdiv\u003e\n\n\u003cdiv class=\"document\"\u003e\n\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\"\u003eComparación con las placas portadoras del Kit de Desarrollo NVIDIA Xavier NX\u003c\/h2\u003e\n\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" class=\"lazy\" width=\"860\" height=\"860\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\n\u003cp\u003e \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch2 style=\"text-align: center;\"\u003eResumen del hardware\u003c\/h2\u003e\n\n\u003cp style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" height=\"900\" width=\"900\" class=\"lazy\"\u003e\u003c\/p\u003e\n\n\u003cp style=\"text-align: left;\"\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" height=\"860\" width=\"860\" class=\"lazy\"\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\n\n\u003ch2 style=\"text-align: center;\"\u003eLista de piezas (ensamblado)\u003c\/h2\u003e\n\n\u003ctable style=\"border-collapse: collapse; width: 93.3308%; height: 260px; margin-left: auto; margin-right: auto;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003e\u003cstrong\u003eArtículo\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e\u003cstrong\u003eCantidad\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 39.1944px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 39.1944px; text-align: center;\"\u003ereComputer J202 – Placa portadora para Jetson Nano y Xavier NX con 4 × USB 3.1, M.2 Key\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 39.1944px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eNvidia Jetson Xavier NX SOM (8GB \/ 16GB)\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eSSD NVMe 240GB\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eDisipador térmico oficial Jetson Xavier NX con ventilador\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eAdaptador de corriente 12V \/ 5A 60W\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 19.5972px;\"\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 74.8658%; height: 19.5972px; text-align: center;\"\u003eCarcasa re_computer – Gabinete compatible para SBCs populares\u003c\/td\u003e\n\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; width: 25.1582%; height: 19.5972px; text-align: center;\"\u003e1\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\n\n\n\u003c\/table\u003e\n\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"Seeed Studio","offers":[{"title":"8GB","offer_id":40063820169302,"sku":"SBC2066-8","price":93899.99,"currency_code":"INR","in_stock":true},{"title":"16GB","offer_id":40063820202070,"sku":"SBC2066-16","price":121299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/110061363_feature-20_1.jpg?v=1663598507"},{"product_id":"advanced-thinkrobotics-nvidia-jetson-nano-development-kit-b01-4gb-online","title":"Kit de despliegue Advanced ThinkRobotics NVIDIA Jetson Nano (B01-4GB)","description":"\u003cp bis_size='{\"x\":12,\"y\":16,\"w\":550,\"h\":0,\"abs_x\":570,\"abs_y\":317}'\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":16,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":317}'\u003e\u003cmeta charset=\"utf-8\"\u003e\u003cstrong data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":17,\"w\":508,\"h\":56,\"abs_x\":570,\"abs_y\":318}'\u003eEste kit de desarrollo NVIDIA Jetson Nano (4GB) avanzado de ThinkRobotics incluye una placa portadora J202 rica en interfaces de Seeed Studio, con Jetpack preinstalado. \u003c\/strong\u003e\u003c\/p\u003e\n\u003cblockquote bis_size='{\"x\":52,\"y\":90,\"w\":470,\"h\":39,\"abs_x\":610,\"abs_y\":391}'\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\" data-mce-fragment=\"1\" bis_size='{\"x\":52,\"y\":90,\"w\":470,\"h\":39,\"abs_x\":610,\"abs_y\":391}'\u003e\u003cspan style=\"color: #c20000;\" bis_size='{\"x\":52,\"y\":91,\"w\":426,\"h\":36,\"abs_x\":610,\"abs_y\":392}'\u003eEste producto es fabricado en India, con más de un 40% de adquisición local. \u003c\/span\u003e\u003c\/p\u003e\n\n\n\u003c\/blockquote\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":145,\"w\":550,\"h\":78,\"abs_x\":570,\"abs_y\":446}'\u003eLa placa portadora reComputer J202 tiene casi el mismo diseño y función que la placa portadora NVIDIA® Jetson Xavier NX™, funciona perfectamente con el módulo Jetson Nano\/Xavier NX y consta de puertos USB 3.2 Gen 2 (4x), M.2 Key E para WIFI, M.2 Key M para SSD, RTC, CAN, GPIO de 40 pines para Raspberry Pi, entre otros.\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":240,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":541}'\u003eLa placa portadora puede funcionar como una alternativa a la placa portadora del kit de desarrollo NVIDIA Jetson Xavier NX, acelerando el desarrollo y la implementación de su próxima aplicación de IA.\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":295,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":596}'\u003e\u003cspan style=\"color: #ff2a00;\" bis_size='{\"x\":12,\"y\":296,\"w\":542,\"h\":36,\"abs_x\":570,\"abs_y\":597}'\u003eNOTA: EL TIEMPO DE ENTREGA PUEDE VARIAR ENTRE 7 Y 10 DÍAS HÁBILES. Para ensamblaje, programación y diseño de carcasas, por favor contáctenos.\u003c\/span\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":350,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":651}'\u003e\u003cspan style=\"color: #ff2a00;\" bis_size='{\"x\":12,\"y\":351,\"w\":531,\"h\":36,\"abs_x\":570,\"abs_y\":652}'\u003e\u003cmeta charset=\"utf-8\"\u003e \u003cspan bis_size='{\"x\":12,\"y\":351,\"w\":531,\"h\":36,\"abs_x\":570,\"abs_y\":652}'\u003eLa placa portadora y los módulos cuentan con una garantía limitada del fabricante de 1 año respaldada por ThinkRobotics.\u003c\/span\u003e\u003c\/span\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\" data-mce-fragment=\"1\" bis_size='{\"x\":12,\"y\":405,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":706}'\u003e\u003cstrong bis_size='{\"x\":12,\"y\":406,\"w\":180,\"h\":17,\"abs_x\":570,\"abs_y\":707}'\u003e\u003cspan style=\"color: #000000;\" bis_size='{\"x\":12,\"y\":406,\"w\":180,\"h\":17,\"abs_x\":570,\"abs_y\":707}'\u003eTenga en cuenta las opciones de carcasa:\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul bis_size='{\"x\":12,\"y\":441,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":742}'\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":441,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":742}'\u003e\u003cspan style=\"color: #000000;\" bis_size='{\"x\":52,\"y\":442,\"w\":384,\"h\":17,\"abs_x\":610,\"abs_y\":743}'\u003eEl disipador térmico pasivo viene con una carcasa de plástico impresa en 3D (PLA)\u003c\/span\u003e\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":461,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":762}'\u003e\n\n\u003cspan style=\"color: #000000;\" bis_size='{\"x\":52,\"y\":462,\"w\":362,\"h\":17,\"abs_x\":610,\"abs_y\":763}'\u003eEl disipador térmico activo viene con una carcasa impresa en 3D de nailon con fibra de carbono (CF)\u003c\/span\u003e\u003cbr bis_size='{\"x\":414,\"y\":462,\"w\":0,\"h\":17,\"abs_x\":972,\"abs_y\":763}'\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\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\" bis_size='{\"x\":12,\"y\":494,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":795}'\u003eCaracterísticas\u003c\/h3\u003e\n\u003cdiv bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":6592,\"abs_x\":570,\"abs_y\":832}'\u003e\n\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":6592,\"abs_x\":570,\"abs_y\":832}'\u003e\n\n\u003cul bis_size='{\"x\":12,\"y\":531,\"w\":550,\"h\":176,\"abs_x\":570,\"abs_y\":832}'\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":531,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":832}'\u003ePerfectamente adaptado: Diseño para \u003cstrong bis_size='{\"x\":231,\"y\":532,\"w\":158,\"h\":17,\"abs_x\":789,\"abs_y\":833}'\u003eJetson Nano\/Xavier NX\u003c\/strong\u003e (SODIMM de 260 pines).\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":551,\"w\":510,\"h\":58,\"abs_x\":610,\"abs_y\":852}'\u003e\n\n\u003cstrong bis_size='{\"x\":52,\"y\":552,\"w\":263,\"h\":17,\"abs_x\":610,\"abs_y\":853}'\u003eAlternativa a la placa portadora del kit de desarrollo\u003c\/strong\u003e: Coincide 1:1 en tamaño y tiene casi el mismo diseño funcional que la placa portadora oficial del Jetson Xavier NX Developer Kit de Nvidia. \u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":609,\"w\":510,\"h\":58,\"abs_x\":610,\"abs_y\":910}'\u003e\n\n\u003cstrong bis_size='{\"x\":52,\"y\":610,\"w\":112,\"h\":17,\"abs_x\":610,\"abs_y\":911}'\u003ePeriféricos ricos\u003c\/strong\u003e: Mayor estabilidad de rendimiento; consta de puertos USB 3.2 Gen 2 (4x), M.2 Key E para WIFI, M.2 Key M para SSD, RTC, CAN, GPIO de 40 pines para Raspberry Pi, entre otros.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":668,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":969}'\u003e\n\n\u003cstrong bis_size='{\"x\":52,\"y\":669,\"w\":104,\"h\":17,\"abs_x\":610,\"abs_y\":970}'\u003eAlta versatilidad\u003c\/strong\u003e: Adecuado para aplicaciones gráficas complejas de IA.\u003c\/li\u003e\n\n\u003cli class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" bis_size='{\"x\":52,\"y\":688,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":989}'\u003eCertificados integrales: FCC, CE, RoHS, KC\u003c\/li\u003e\n\n\n\u003c\/ul\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\" bis_size='{\"x\":12,\"y\":721,\"w\":550,\"h\":1223,\"abs_x\":570,\"abs_y\":1022}'\u003e\u003cimg class=\"lazy\" width=\"1200\" height=\"1200\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\" bis_size='{\"x\":12,\"y\":721,\"w\":1200,\"h\":1200,\"abs_x\":570,\"abs_y\":1022}' data-mce-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/carrier_board\/J202boardspec.png\"\u003e\u003c\/h2\u003e\n\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\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\" bis_size='{\"x\":12,\"y\":1955,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2256}'\u003eDescripción\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":1995,\"w\":550,\"h\":97,\"abs_x\":570,\"abs_y\":2296}'\u003e\n\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":1995,\"w\":550,\"h\":97,\"abs_x\":570,\"abs_y\":2296}'\u003ereComputer J202 es una placa portadora de alto rendimiento y rica en interfaces, compatible con NVIDIA Jetson Nano \/ Xavier NX, que proporciona \u003cstrong bis_size='{\"x\":12,\"y\":2016,\"w\":543,\"h\":36,\"abs_x\":570,\"abs_y\":2317}'\u003eHDMI 2.0, Gigabit Ethernet, USB 3.1 Gen 2, M.2 Key E para Wi-Fi \/ BT, M.2 Key M, cámara CSI, CAN, GPIO, I2C, I2S, ventilador\u003c\/strong\u003e y otras interfaces periféricas. Tiene el mismo diseño funcional y tamaño que la placa portadora del \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" bis_size='{\"x\":70,\"y\":2075,\"w\":161,\"h\":17,\"abs_x\":628,\"abs_y\":2376}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx-devkit\" target=\"_blank\"\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":70,\"y\":2075,\"w\":157,\"h\":17,\"abs_x\":628,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":70,\"y\":2075,\"w\":157,\"h\":17,\"abs_x\":628,\"abs_y\":2376}'\u003eNVIDIA® Jetson Xavier™\u003c\/span\u003e\u003c\/span\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":227,\"y\":2075,\"w\":3,\"h\":17,\"abs_x\":785,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":227,\"y\":2075,\"w\":3,\"h\":17,\"abs_x\":785,\"abs_y\":2376}'\u003e \u003c\/span\u003e\u003c\/span\u003e\u003c\/a\u003e\u003cspan data-style=\"text-decoration: underline;\" bis_size='{\"x\":231,\"y\":2075,\"w\":127,\"h\":17,\"abs_x\":789,\"abs_y\":2376}'\u003e\u003cspan class=\"15\" bis_size='{\"x\":231,\"y\":2075,\"w\":127,\"h\":17,\"abs_x\":789,\"abs_y\":2376}'\u003eNX DEVELOPER KIT\u003c\/span\u003e\u003c\/span\u003e.  \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch3 class=\"p\" bis_size='{\"x\":12,\"y\":2109,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":2410}'\u003eFuncionalidad\u003c\/h3\u003e\n\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2143,\"w\":550,\"h\":78,\"abs_x\":570,\"abs_y\":2444}'\u003eCon el módulo NVIDIA Jetson ensamblado, podría ser compatible con \u003cstrong bis_size='{\"x\":402,\"y\":2144,\"w\":108,\"h\":17,\"abs_x\":960,\"abs_y\":2445}'\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\" bis_size='{\"x\":402,\"y\":2144,\"w\":108,\"h\":17,\"abs_x\":960,\"abs_y\":2445}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eNVIDIA JetPack\u003c\/a\u003e\u003c\/strong\u003e, que incluye un paquete de soporte de placa (BSP), SO Linux, NVIDIA CUDA®, cuDNN y bibliotecas de software TensorRT™ para aprendizaje profundo, visión artificial, computación de GPU, procesamiento multimedia y mucho más.\u003c\/p\u003e\n\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2237,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":2538}'\u003eGracias a sus múltiples conectores de cámara, es adecuado para ejecutar varias redes neuronales en paralelo para aplicaciones como clasificación de imágenes, detección de objetos, segmentación y procesamiento de voz. \u003c\/p\u003e\n\n\u003ch3 bis_size='{\"x\":12,\"y\":2312,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":2613}'\u003eEspecificaciones:\u003c\/h3\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":2349,\"w\":550,\"h\":254,\"abs_x\":570,\"abs_y\":2650}'\u003e\n\n\u003cul bis_size='{\"x\":12,\"y\":2349,\"w\":550,\"h\":254,\"abs_x\":570,\"abs_y\":2650}'\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2349,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2650}'\u003eCompatibilidad de módulos: \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-nano-module?_pos=2\u0026amp;_psq=jetson%20nano\u0026amp;_ss=e\u0026amp;_v=1.0\" bis_size='{\"x\":196,\"y\":2350,\"w\":92,\"h\":17,\"abs_x\":754,\"abs_y\":2651}' target=\"_blank\"\u003eJetson™ Nano\u003c\/a\u003e\/ \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-xavier-nx-module?_pos=1\u0026amp;_psq=xavier%20nx\u0026amp;_ss=e\u0026amp;_v=1.0\" bis_size='{\"x\":297,\"y\":2350,\"w\":63,\"h\":17,\"abs_x\":855,\"abs_y\":2651}' target=\"_blank\"\u003eXavier NX\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2368,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2669}'\u003eTamaño de PCB \/ Tamaño total: 100 mm X 80 mm\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2388,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2689}'\u003ePantalla: 1x HDMI y 1x DP\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2408,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2709}'\u003eCámara CSI: 2\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2427,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2728}'\u003eEthernet: 1x Gigabit Ethernet (10\/100\/1000M)\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2447,\"w\":510,\"h\":39,\"abs_x\":610,\"abs_y\":2748}'\u003eUSB: 4x USB 3.1 Tipo-A (10 Gbps para NX, 5 Gbps para Nano); 1x USB Tipo-C (modo dispositivo)\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2486,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2787}'\u003e1x M.2 Key E, 1x M.2 Key M\u003cbr bis_size='{\"x\":225,\"y\":2487,\"w\":0,\"h\":17,\"abs_x\":783,\"abs_y\":2788}'\u003e\n\n\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2506,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2807}'\u003eVENTILADOR: 1x conector para ventilador\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2525,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2826}'\u003e1x CAN\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2545,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2846}'\u003ePuerto multifuncional: 1x 40 pines, 1x 12 pines\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2564,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2865}'\u003eRTC: 2 pines para RTC, zócalo RTC (reservado)\u003c\/li\u003e\n\n\u003cli bis_size='{\"x\":52,\"y\":2584,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":2885}'\u003eFuente de alimentación: 12V\/6A (conector tipo barril de 5.5\/2.1 mm)\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\n\u003c\/div\u003e\n\n\u003cp class=\"p\" bis_size='{\"x\":12,\"y\":2618,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":2919}'\u003e \u003c\/p\u003e\n\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":2653,\"w\":550,\"h\":422,\"abs_x\":570,\"abs_y\":2954}'\u003e\n\n\u003ch2 dir=\"ltr\" bis_size='{\"x\":12,\"y\":2653,\"w\":550,\"h\":29,\"abs_x\":570,\"abs_y\":2954}'\u003eAplicaciones de Edge AI\u003c\/h2\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":12,\"y\":2693,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":2994}'\u003eAl trabajar con hasta 21 TOPS de rendimiento de IA proporcionados por el Jetson Xavier NX, brinda la capacidad de desarrollar y probar soluciones inteligentes de bajo consumo y formato compacto con inferencia de IA multimodal precisa en diversas industrias.\u003c\/p\u003e\n\n\u003cul bis_size='{\"x\":12,\"y\":2768,\"w\":550,\"h\":233,\"abs_x\":570,\"abs_y\":3069}'\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2768,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3069}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2768,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3069}'\u003e\u003ca href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" bis_size='{\"x\":52,\"y\":2769,\"w\":244,\"h\":17,\"abs_x\":610,\"abs_y\":3070}' data-mce-href=\"https:\/\/www.edgeimpulse.com\/blog\/recognizing-your-blind-spots-pedestrian-detection-system-with-nvidia-jetson-nano\" target=\"_blank\"\u003eDetección de peatones mediante Edge Impulse\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2803,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3104}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2803,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3104}'\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" bis_size='{\"x\":52,\"y\":2804,\"w\":120,\"h\":17,\"abs_x\":610,\"abs_y\":3105}' data-mce-href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/03\/deploy-hard-hat-detection-for-enforcing-workplace-safety\/\" target=\"_blank\"\u003eDetección de casco\u003c\/a\u003e y creación de detección de EPP personalizada\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2839,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3140}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2839,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3140}'\u003e\u003ca href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" bis_size='{\"x\":52,\"y\":2840,\"w\":193,\"h\":17,\"abs_x\":610,\"abs_y\":3141}' data-mce-href=\"https:\/\/alwaysai.co\/blog\/using-pose-estimation-on-the-jetson-nano-with-alwaysai\" target=\"_blank\"\u003eEstimación de pose con alwaysAI\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2875,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3176}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2875,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3176}'\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" bis_size='{\"x\":52,\"y\":2876,\"w\":355,\"h\":17,\"abs_x\":610,\"abs_y\":3177}' data-mce-href=\"https:\/\/developer.nvidia.com\/gtc\/2020\/video\/s22675-vid\" target=\"_blank\"\u003eDetección visual de anomalías usando NVIDIA Deepstream IoT\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2910,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3211}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2910,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3211}'\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" bis_size='{\"x\":52,\"y\":2911,\"w\":176,\"h\":17,\"abs_x\":610,\"abs_y\":3212}' data-mce-href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/06\/08\/retail-store-items-detection-using-yolov5-roboflow-and-node-red\/\" target=\"_blank\"\u003eDetección de artículos en tiendas minoristas\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2946,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3247}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2946,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3247}'\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" bis_size='{\"x\":52,\"y\":2947,\"w\":114,\"h\":17,\"abs_x\":610,\"abs_y\":3248}' data-mce-href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de incendios forestales\u003c\/a\u003e\u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli dir=\"ltr\" bis_size='{\"x\":52,\"y\":2981,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3282}'\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":52,\"y\":2981,\"w\":510,\"h\":19,\"abs_x\":610,\"abs_y\":3282}'\u003e\u003ca href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" bis_size='{\"x\":52,\"y\":2982,\"w\":108,\"h\":17,\"abs_x\":610,\"abs_y\":3283}' data-mce-href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" target=\"_blank\"\u003eDetección de animales\u003c\/a\u003e \u003c\/p\u003e\n\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cp dir=\"ltr\" bis_size='{\"x\":12,\"y\":3017,\"w\":550,\"h\":58,\"abs_x\":570,\"abs_y\":3318}'\u003eEncuentre en la página de \u003ca href=\"https:\/\/developer.nvidia.com\/community\/resources\" bis_size='{\"x\":83,\"y\":3018,\"w\":192,\"h\":17,\"abs_x\":641,\"abs_y\":3319}' data-mce-href=\"https:\/\/developer.nvidia.com\/community\/resources\" target=\"_blank\"\u003eRecursos de la Comunidad Jetson\u003c\/a\u003e herramientas y tutoriales creados por la comunidad para potenciar su experiencia de desarrollo, ¡y visite la página de \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" bis_size='{\"x\":12,\"y\":3038,\"w\":505,\"h\":36,\"abs_x\":570,\"abs_y\":3339}' data-mce-href=\"https:\/\/developer.nvidia.com\/embedded\/community\/jetson-projects\" target=\"_blank\"\u003eProyectos Comunitarios\u003c\/a\u003e para inspirarse en su próximo proyecto! \u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":3092,\"w\":550,\"h\":39,\"abs_x\":570,\"abs_y\":3393}'\u003eConsulte también la \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" bis_size='{\"x\":155,\"y\":3093,\"w\":116,\"h\":17,\"abs_x\":713,\"abs_y\":3394}' data-mce-href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Series_Started_Guide\/\" target=\"_blank\"\u003e\u003cstrong bis_size='{\"x\":155,\"y\":3093,\"w\":116,\"h\":17,\"abs_x\":713,\"abs_y\":3394}'\u003eguía wiki de Seeed\u003c\/strong\u003e\u003c\/a\u003e, que incluye cómo empezar con Jetson Nano y cómo desarrollar diferentes proyectos. \u003c\/div\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":3131,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":3432}'\u003e\u003cbr bis_size='{\"x\":12,\"y\":3132,\"w\":0,\"h\":17,\"abs_x\":570,\"abs_y\":3433}'\u003e\u003c\/div\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":3151,\"w\":550,\"h\":1220,\"abs_x\":570,\"abs_y\":3452}'\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" data-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\" height=\"1200\" width=\"1200\" class=\"lazy\" bis_size='{\"x\":12,\"y\":3151,\"w\":1200,\"h\":1200,\"abs_x\":570,\"abs_y\":3452}' data-mce-src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/102991695_2.jpg\"\u003e\u003c\/div\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":4371,\"w\":550,\"h\":19,\"abs_x\":570,\"abs_y\":4672}'\u003e\u003cbr bis_size='{\"x\":12,\"y\":4372,\"w\":0,\"h\":17,\"abs_x\":570,\"abs_y\":4673}'\u003e\u003c\/div\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\u003e\n\n\u003cdiv bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\u003e\n\n\u003cdiv class=\"document\" bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":898,\"abs_x\":570,\"abs_y\":4692}'\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\" bis_size='{\"x\":12,\"y\":4391,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":4692}'\u003eComparación con las placas portadoras del NVIDIA Xavier NX Dev Kit\u003c\/h3\u003e\n\n\u003cp bis_size='{\"x\":12,\"y\":4424,\"w\":550,\"h\":864,\"abs_x\":570,\"abs_y\":4725}'\u003e\u003cimg src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" data-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\" height=\"860\" width=\"860\" class=\"lazy\" bis_size='{\"x\":12,\"y\":4424,\"w\":860,\"h\":860,\"abs_x\":570,\"abs_y\":4725}' data-mce-src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer\/J202carrierboard.png\"\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch3 bis_size='{\"x\":12,\"y\":5305,\"w\":550,\"h\":22,\"abs_x\":570,\"abs_y\":5606}'\u003e Visión general del hardware\u003c\/h3\u003e\n\n\u003cp bis_size='{\"x\":12,\"y\":5338,\"w\":550,\"h\":904,\"abs_x\":570,\"abs_y\":5639}'\u003e\u003cimg class=\"lazy\" width=\"900\" height=\"900\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 FRONT.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\" bis_size='{\"x\":12,\"y\":5338,\"w\":900,\"h\":900,\"abs_x\":570,\"abs_y\":5639}' data-mce-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20FRONT.png\"\u003e\u003c\/p\u003e\n\n\u003cp bis_size='{\"x\":12,\"y\":6259,\"w\":550,\"h\":864,\"abs_x\":570,\"abs_y\":6560}'\u003e\u003cimg class=\"lazy\" width=\"860\" height=\"860\" data-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202 BACK.png\" src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\" bis_size='{\"x\":12,\"y\":6259,\"w\":860,\"h\":860,\"abs_x\":570,\"abs_y\":6560}' data-mce-src=\"https:\/\/files.seeedstudio.com\/products\/102991695\/J202%20BACK.png\"\u003e\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"ThinkRobotics","offers":[{"title":"Passive \/ Not Included","offer_id":40067918168150,"sku":"SBC1026-0","price":28749.99,"currency_code":"INR","in_stock":false},{"title":"Passive \/ 12V 6A","offer_id":40067937108054,"sku":"SBC1026-1","price":29999.99,"currency_code":"INR","in_stock":false},{"title":"Active \/ Not Included","offer_id":40067918200918,"sku":"SBC1026-2","price":29749.99,"currency_code":"INR","in_stock":false},{"title":"Active \/ 12V 6A","offer_id":40067937239126,"sku":"SBC1026-3","price":30999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/SBC1026-2.png?v=1663834556"},{"product_id":"nvidia-jetson-agx-xavier-embedded-system-kit","title":"Kit de sistema embebido NVIDIA Jetson AGX Xavier de ThinkRobotics","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003ch2 style=\"text-align: center;\" data-mce-fragment=\"1\" data-mce-style=\"text-align: center;\"\u003e\u003cstrong\u003eKit de despliegue ThinkRobotics™️ Jetson AGX Xavier\u003c\/strong\u003e\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\n\n\u003cmeta charset=\"UTF-8\"\u003e \u003cspan\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, lo que permite a los desarrolladores entrenar y desplegar redes neuronales rápidamente.\u003c\/span\u003e\n\n\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" data-mce-fragment=\"1\" data-mce-style=\"text-align: left;\"\u003e\u003cstrong\u003e\u003c\/strong\u003eEste robusto sistema embebido es ensamblado por ThinkRobotics con una placa portadora de grado industrial de Forecr.io, disipador de calor y una fuente de alimentación de Meanwell. Se trata de un dispositivo para aplicaciones de Edge AI de nivel de supercomputadora con requisitos de múltiples cámaras MIPI CSI-2. Instalamos Jetpack en cada dispositivo antes del envío; para instalaciones personalizadas o arranque mediante NVMe SSD, por favor contáctenos después de realizar el pedido.\u003c\/p\u003e\n\u003ch3 style=\"text-align: left;\" data-mce-fragment=\"1\" data-mce-style=\"text-align: left;\"\u003eEl paquete incluye:\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003eSistema embebido ensamblado con\u003c\/li\u003e\n\n\u003cul\u003e\n\n\u003cli\u003e\n\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-agx-xavier-module\" target=\"_blank\"\u003eSOM AGX Xavier (32GB o 64GB)\u003c\/a\u003e o \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia-jetson-agx-xavier-industrial?_pos=2\u0026amp;_sid=cf83a9438\u0026amp;_ss=r\" target=\"_blank\"\u003eSOM Industrial AGX\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003ePlaca portadora \u003ca href=\"https:\/\/thinkrobotics.in\/products\/forecr-jetson-xavier-agx-carrier-board\" target=\"_blank\"\u003eForecr DSBOARD-XV2\u003c\/a\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003eDisipador de calor \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia%C2%AE-jetson-agx-xavier%E2%84%A2-passive-heat-sink\" target=\"_blank\"\u003epasivo\u003c\/a\u003e o \u003ca href=\"https:\/\/thinkrobotics.in\/products\/nvidia%C2%AE-jetson-agx-xavier%E2%84%A2-active-heat-sink\" target=\"_blank\"\u003eactivo\u003c\/a\u003e\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\n\u003cli\u003eCarcasa impresa en 3D de ABS con fibra de carbono\u003c\/li\u003e\n\n\u003cli\u003e\n\n\u003ca href=\"https:\/\/thinkrobotics.in\/products\/meanwell-gs120a24-p1m-ac-dc-industrial-desktop-adaptor-24v-5a\" target=\"_blank\"\u003eFuente de alimentación Meanwell 120W de 24V\/5A\u003c\/a\u003e (modificada con conector)\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cblockquote\u003e\n\n\u003cp style=\"text-align: left;\" data-mce-fragment=\"1\" data-mce-style=\"text-align: left;\"\u003ePuede haber un plazo de entrega de 2 semanas para ciertas variantes\u003cbr\u003e\u003c\/p\u003e\n\n\n\u003c\/blockquote\u003e\n\u003ch3 data-mce-fragment=\"1\"\u003eReferencias importantes:\u003c\/h3\u003e\n\u003cul\u003e\n\n\u003cli\u003e\n\n\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsboard-xv2-datasheet-1.0.pdf\" target=\"_blank\"\u003eHoja de datos\u003c\/a\u003e\u003cbr\u003e\n\n\u003c\/li\u003e\n\n\u003cli\u003e\n\u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-4-6-installation-for-dsboard-xv2\" target=\"_blank\"\u003eInstrucciones\u003c\/a\u003e de instalación\n\n\u003c\/li\u003e\n\n\u003cli\u003e\n\u003ca href=\"https:\/\/www.forecr.io\/blogs\/getting-started\/dsboard-xv2-getting-started\" target=\"_blank\"\u003eGuía\u003c\/a\u003e de inicio rápido\n\n\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003cdiv style=\"text-align: center;\" data-mce-style=\"text-align: center;\"\u003e\u003cimg style=\"float: none;\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dsboard-xv2-dark-bg-with-features.webp?v=1651022572\" data-mce-style=\"float: none;\"\u003e\u003c\/div\u003e\n\u003cdiv data-id=\"1618851835946\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618851835946\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm--lg gf-elm--md gf-elm--sm gf-elm--xs gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\n\u003ch2\u003e\u003cb\u003eMÁXIMO RENDIMIENTO EN DESPLIEGUES DE IA\u003c\/b\u003e\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv data-id=\"1618851817638\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618851817638\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs gf-elm-justify-lg\"\u003e\n\n\u003cp\u003eDSBOARD-XV2 es una placa portadora de nivel industrial de alto rendimiento para el procesador NVIDIA® Jetson™ AGX Xavier™. Su tamaño ideal y su rendimiento a nivel de supercomputadora con 32 TOPs permiten una amplia gama de aplicaciones, desde algoritmos de aprendizaje profundo hasta máquinas autónomas. Jetson™ AGX Xavier™ puede codificar hasta 8 transmisiones 4K y decodificar 12 transmisiones 4K.\u003c\/p\u003e\n\n\u003cp\u003eLa biblioteca NVIDIA® TensorRT y el framework Deepstream proporcionan una base para obtener el máximo rendimiento del procesador NVIDIA® Jetson™ AGX Xavier™. Junto con las optimizaciones requeridas en los factores de forma embebidos, obtener velocidades de fotogramas a nivel de GPU de escritorio con algoritmos de aprendizaje profundo no es ninguna sorpresa. Para obtener más detalles sobre el rendimiento de los procesadores NVIDIA® Jetson™, puede visitar el sitio web de DeepStream SDK de NVIDIA®.\u003c\/p\u003e\n\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\n\u003cdiv data-id=\"1618852408202\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852408202\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-justify-xs gf-elm-left-md gf-elm-justify-lg\"\u003e\n\n\u003ch2\u003e\u003cb\u003eSIEMPRE LISTO PARA USAR\u003c\/b\u003e\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv data-id=\"1618852412098\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852412098\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\n\u003cp\u003eDSBOARD-XV2 es compatible tanto con Jetson™ AGX Xavier™ como con Jetson™ AGX Xavier™ Industrial con todas sus características. Proporcionamos la versión más reciente de los paquetes BSP de Jetpack que ofrece NVIDIA®. Apenas dos semanas después de cada nuevo anuncio de Jetpack, publicamos tutoriales adicionales sobre conectividad y sistema operativo en nuestro blog.\u003c\/p\u003e\n\n\u003cp\u003eEn Forecr, también ofrecemos soluciones a problemas de integración mecánica para nuestros clientes a nivel de placa portadora. Para hacer que los módulos Jetson™ funcionen de manera eficiente incluso bajo cargas máximas, creamos una opción de placa de transferencia térmica. Cuando solicita la DSBOARD-XV2 con una opción de módulo, la unidad de transferencia térmica adecuada y el juego de tornillos se incluirán en el paquete. Integramos el módulo y las piezas mecánicas en la placa portadora, instalamos el software Jetpack más reciente y nuestro paquete BSP para entregarle un sistema listo para usar.\u003c\/p\u003e\n\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\n\u003cdiv data-id=\"1618851977475\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618851977475\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-justify-sm gf-elm-left-md gf-elm-center-xs gf-elm-left-lg\"\u003e\n\n\u003ch2\u003e\u003cb\u003eAMPLIAS OPCIONES DE CONECTIVIDAD\u003c\/b\u003e\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv data-id=\"1618851992166\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618851992166\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\n\u003cp\u003eDSBOARD-XV2 viene con conexiones internas y externas que pueden utilizarse en una variedad de aplicaciones industriales. Con interfaces de alta velocidad como Gigabit Ethernet y USB 3.1, puede conectarse a dispositivos de alta velocidad y transferir datos rápidamente con un ancho de banda de hasta 136.5 GB\/s. También hemos incluido interfaces de comunicación de nivel industrial como CAN Bus y puertos RS232\/422\/485 configurables por software.\u003c\/p\u003e\n\n\u003cp\u003eDSBOARD-XV2 está diseñado para utilizarse en diversas industrias, por lo que también incluimos conectores a nivel de placa y conexiones de cámara avanzadas. DSBOARD-XV2 admite hasta seis conexiones de cámara MIPI CSI-2 compatibles con el pinout estándar de Raspberry Pi. También están disponibles conectores adicionales a nivel de placa con señales UART, SPI, I2C y PCIe.\u003c\/p\u003e\n\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\n\u003cdiv data-id=\"1618852482764\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852482764\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\n\u003ch2\u003e\u003cb\u003eUTILIZACIÓN A LA MÁXIMA VELOCIDAD\u003c\/b\u003e\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv data-id=\"1618852482720\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852482720\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\n\u003cp\u003eDSBOARD-XV2 cuenta con soporte PCI Gen 4 de 4x para ranura SSD M.2 Key-M, Gigabit Ethernet, 2x USB 3.1 y M.2 Key-B con conexión USB 3.1. Junto con estas interfaces, están disponibles interfaces MIPI CSI-2 a nivel de placa e interfaces para tarjetas SD como interfaces de alta velocidad.\u003c\/p\u003e\n\n\u003cp\u003eNuestro equipo de ingeniería prueba antes del envío los anchos de banda de las interfaces USB 3.1 con cámaras de alta velocidad, Gigabit Ethernet con software de rendimiento de red, la funcionalidad y rendimiento de FPS de las interfaces MIPI CSI-2 con cámaras de alta resolución, y el rendimiento de lectura\/escritura de SSD NVMe con un SSD NVMe compatible con PCIE GEN4. Nos aseguramos de que el rendimiento de nuestras placas portadoras sea estable y tenga la máxima eficiencia antes de entregarlas a nuestros clientes.\u003c\/p\u003e\n\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\n\u003cdiv data-id=\"1618852741492\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618852741492\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-left-md gf-elm-left-sm gf-elm-left-xs gf-elm-left-lg\"\u003e\n\n\u003ch2\u003e\u003cb\u003eEFICIENCIA ENERGÉTICA CON GRAN DURABILIDAD\u003c\/b\u003e\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv data-id=\"1618852741427\" data-ver=\"1\" data-icon=\"gpicon-textblock\" class=\"element-wrap\" id=\"e-1618852741427\" data-key=\"text-block\" data-label=\"Text Block\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-left gf-elm-justify-lg gf-elm-justify-md gf-elm-justify-sm gf-elm-justify-xs\"\u003e\n\n\u003cp\u003eDSBOARD-XV2 admite un amplio rango de voltaje de entrada junto con un conector de alimentación fiable. Se puede conectar cualquier fuente de alimentación en el rango de 18-32 VCC, y funcionará las 24 horas del día, los 7 días de la semana, durante semanas y meses sin problemas, incluso bajo cargas máximas de CPU y GPU. DSBOARD-XV2 tiene un circuito de alimentación robusto y durabilidad para un rango de temperatura extendido de entre -40°C y 85°C para que la placa se adapte a cualquier entorno industrial.\u003c\/p\u003e\n\n\u003cp\u003eCon la RAM de bajo consumo y alto ancho de banda de Jetson™ AGX Xavier™, las aplicaciones potentes pueden ejecutarse de manera eficiente consumiendo una pequeña cantidad de energía. DSBOARD-XV2 también admite almacenamiento masivo interno como eMMC 5.1 Flash de 32 GB y MicroSD.\u003c\/p\u003e\n\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\n\u003cdiv data-id=\"1618853681889\" data-ver=\"1\" data-icon=\"gpicon-heading\" class=\"element-wrap\" id=\"e-1618853681889\" data-key=\"heading\" data-label=\"Heading\"\u003e\n\n\u003cdiv data-exc=\"\" data-gemlang=\"en\" class=\"elm text-edit gf-elm-center gf-elm-center-md gf-elm-center-sm gf-elm-center-xs gf-elm-center-lg\"\u003e\n\n\u003ch2\u003eEspecificaciones Técnicas de la Placa Portadora\u003c\/h2\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv data-name=\"Right click on the module, then choose Edit Html \/ Liquid option to start writing your custom code.\" data-id=\"1618852931930\" data-ver=\"1.0\" data-icon=\"gpicon-liquid\" class=\"module-wrap\" id=\"m-1618852931930\" data-key=\"liquid\" data-label=\"Liquid\"\u003e\n\n\u003cdiv class=\"module gf_module- gf_module--lg gf_module--md gf_module--sm gf_module--xs\"\u003e\n\n\u003ctable class=\"table table-bordered\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eMÓDULOS SOPORTADOS\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003eNVIDIA Jetson AGX Xavier\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eMEMORIA\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003eLPDDR4x de 32 GB y 256 bits\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eINTERFACES GRÁFICAS\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e1x HDMI 2.0 (resolución máxima 3840x2160)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eINTERFACES\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003e1x Gigabit Ethernet \u003c\/p\u003e\n\n\u003cp\u003e3x USB 3.1\u003c\/p\u003e\n\n\u003cp\u003e1x CAN Bus \u003c\/p\u003e\n\n\u003cp\u003e1x RS232\/422\/485\u003c\/p\u003e\n\n\u003cp\u003e2x Entrada Digital\/3x Salida Digital \u003c\/p\u003e\n\n\u003cp\u003e1x USB 2.0 (UART de depuración) \u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eCOMUNICACIÓN INALÁMBRICA\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003eTarjetas M.2 Key-E opcionales\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eFUENTE DE ALIMENTACIÓN\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e18-32 VCC\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\n\n\u003cstrong\u003eZÓCALOS DE EXPANSIÓN\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eINTERNA\u003c\/strong\u003e\n\n\u003c\/td\u003e\n\n\u003ctd\u003e1x M.2 Key M (PCIe Gen4 x4)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eALMACENAMIENTO MASIVO INTERNO\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003e32 GB eMMC 5.1 Flash \u003c\/p\u003e\n\n\u003cp\u003e1x Tarjeta MicroSD\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eCONDICIONES AMBIENTALES\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e-40°C … +85°C \u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eFACTOR DE FORMA \/ DIMENSIONES\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e100 mm x 100 mm \u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cstrong\u003eSISTEMAS OPERATIVOS\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003eUbuntu Linux 18.04\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\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\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","brand":"Forecr.io","offers":[{"title":"32GB \/ Passive Heatsink \/ 480GB","offer_id":44410631127357,"sku":"SBC1036-1","price":178749.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ Passive Heatsink \/ 960GB","offer_id":44410632307005,"sku":"SBC1036-2","price":181749.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ Active Heatsink \/ 480GB","offer_id":44410631160125,"sku":"SBC1036-3","price":184749.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ Active Heatsink \/ 960GB","offer_id":44410632339773,"sku":"SBC1036-4","price":188749.99,"currency_code":"INR","in_stock":false},{"title":"Industrial 32GB \/ Passive Heatsink \/ 480GB","offer_id":44410648920381,"sku":"SBC1036-9","price":222749.99,"currency_code":"INR","in_stock":false},{"title":"Industrial 32GB \/ Passive Heatsink \/ 960GB","offer_id":44410648953149,"sku":"SBC1036-10","price":226749.99,"currency_code":"INR","in_stock":false},{"title":"Industrial 32GB \/ Active Heatsink \/ 480GB","offer_id":44410648985917,"sku":"SBC1036-11","price":228749.99,"currency_code":"INR","in_stock":false},{"title":"Industrial 32GB \/ Active Heatsink \/ 960GB","offer_id":44410649018685,"sku":"SBC1036-12","price":232749.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/AGX-2.png?v=1674371547"},{"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":"jetson-agx-xavier-industrial-box-pc-dsbox-xv2","title":"PC Industrial Jetson AGX Xavier - DSBOX-XV2","description":"\u003cmeta charset=\"utf-8\"\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePC industrial tipo caja para \u003cspan\u003eNVIDIA Jetson AGX Xavier™ \u003c\/span\u003e\n\n\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePara aplicaciones de IA en el borde (Edge AI) de nivel supercomputador\u003c\/h3\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003eMÁXIMO RENDIMIENTO EN DESPLIEGUES DE IA\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eDSBOX-XV2 es un potente dispositivo de computación en el borde (edge computing) diseñado para aplicaciones industriales que requieren gran capacidad de procesamiento y fiabilidad. Está impulsado por el módulo NVIDIA Jetson AGX Xavier™, que cuenta con una GPU NVIDIA Volta™ con 512 núcleos CUDA y una CPU ARM64 de ocho núcleos. Esto proporciona a la DSBOX-XV2 la potencia de procesamiento necesaria para aplicaciones industriales complejas como aprendizaje automático (machine learning), visión artificial e IA.\u003c\/p\u003e\n\u003cp\u003eDSBOX-XV2 es una placa portadora industrial de alto rendimiento para el procesador NVIDIA Jetson AGX Xavier™. Su tamaño ideal y su rendimiento de nivel supercomputador con 32 TOPs permiten una amplia gama de aplicaciones, desde algoritmos de aprendizaje profundo hasta máquinas autónomas. Jetson AGX Xavier™ puede codificar hasta 8 transmisiones 4K y decodificar 12 transmisiones 4K.\u003c\/p\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\n\n\u003cb\u003e\u003cstrong\u003eUTILIZACIÓN A MÁXIMA VELOCIDAD\u003c\/strong\u003e\u003c\/b\u003e\u003cbr\u003e\n\n\u003c\/h2\u003e\n\u003cp\u003eEl dispositivo cuenta con Gigabit Ethernet para redes cableadas de alta velocidad, así como dos puertos USB 3.1 Tipo-A para una transferencia de datos rápida. Además, viene con interfaces CAN Bus y RS232\/422\/485, que pueden configurarse mediante software para adaptarse a diferentes aplicaciones. Para mayor flexibilidad, la DSBOX-XV2 también incluye dos entradas digitales y tres salidas digitales, lo que facilita su integración con otros sistemas industriales. También cuenta con puertos Tipo-C para fines de depuración y recuperación, así como un puerto HDMI 2.0 que admite resoluciones de hasta 3840x2160, proporcionando una salida de gráficos de alta calidad.\u003c\/p\u003e\n\u003cp\u003eAdemás, el dispositivo incluye un zócalo M.2 Key-E y una ranura MicroSD para expansión, lo que permite a los usuarios añadir opciones de conectividad adicionales según sea necesario. Y con una ranura para SSD M.2 Key-M, la DSBOX-XV2 se puede configurar con almacenamiento de estado sólido de alta velocidad para un acceso y transferencia de datos rápidos. DSBOX-XV2 ofrece una gama completa de opciones de conectividad e interfaz, lo que lo convierte en un dispositivo de computación en el borde industrial versátil y flexible. Su amplia gama de interfaces, entradas y salidas digitales, y compatibilidad con opciones de expansión, lo convierten en la elección ideal para una amplia gama de aplicaciones industriales.\u003c\/p\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003eSIEMPRE LISTO PARA USAR\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eLa DSBOX-XV2 está diseñada para operar de manera fiable en una amplia gama de condiciones ambientales, con un rango de temperatura de -25°C a +85°C. Esto la convierte en una opción ideal para su uso en entornos industriales donde las temperaturas pueden variar considerablemente. Ya sea que trabaje en condiciones de calor o frío extremos, la DSBOX-XV2 está construida para soportarlo todo, proporcionando un rendimiento de computación potente y fiable independientemente del entorno.\u003c\/p\u003e\n\u003cp\u003eAdemás de su diseño robusto y su amplio rango de temperatura operativa, la DSBOX-XV2 también cuenta con un factor de forma compacto que facilita su instalación y uso en una variedad de entornos industriales. Con unas dimensiones de 160 mm x 110 mm x 95 mm y un peso de 1340 gramos, el dispositivo es ligero y fácil de manejar. Su pequeño tamaño también significa que puede integrarse fácilmente en sistemas industriales existentes, proporcionando un rendimiento de computación potente sin ocupar demasiado espacio.\u003c\/p\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003e \u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003ch2 style=\"font-weight: 500;\"\u003e\u003cb\u003e\u003cstrong\u003eCOMPUTACIÓN EN EL BORDE VERSÁTIL\u003c\/strong\u003e\u003c\/b\u003e\u003c\/h2\u003e\n\u003cp\u003eDSBOX-XV2 está diseñado para operar con una amplia gama de fuentes de alimentación, con un rango de entrada de voltaje de 18-30 VCC. Esto significa que puede operar en una variedad de entornos industriales, incluso en situaciones donde la energía puede ser inestable o fluctuante. Con su diseño robusto y compatibilidad con una amplia gama de entradas de energía, la DSBOX-XV2 es un dispositivo de computación fiable y potente que se adapta perfectamente para su uso en entornos industriales hostiles.\u003c\/p\u003e\n\u003cp\u003eEn general, la DSBOX-XV2 es un dispositivo de computación en el borde potente y versátil que ofrece una amplia gama de opciones de conectividad y energía. Con soporte para comunicación inalámbrica y un amplio rango de entrada de voltaje, es una solución fiable y flexible para una gran variedad de aplicaciones industriales. Ya sea que busque mejorar sus procesos de fabricación, aumentar la seguridad en el transporte o agilizar la gestión energética, la DSBOX-XV2 es la solución perfecta para sus necesidades de computación industrial.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eRecursos\u003c\/h2\u003e\n\u003cul\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/hs.forecr.io\/hubfs\/DATASHEETS\/dsbox-xv2-datasheet-v1.0.pdf\" target=\"_blank\"\u003eFicha técnica\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/github.com\/mistelektronik\/forecr_3d_models\/tree\/master\/DSBOX-XV2\" target=\"_blank\"\u003eModelo 3D\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/www.forecr.io\/blogs\/installation\/jetpack-5-1-installation-for-dsboard-xv2\" target=\"_blank\"\u003eInstalación\u003c\/a\u003e\u003c\/li\u003e\n\n\u003cli\u003e\n\n\u003ca href=\"https:\/\/www.forecr.io\/products\/jetson-agx-xavier-industrial-box-pc-dsbox-xv2\" target=\"_blank\"\u003eGuía de inicio rápido\u003c\/a\u003e \u003c\/li\u003e\n\n\u003cli\u003e\u003ca href=\"https:\/\/www.forecr.io\/products\/jetson-agx-xavier-industrial-box-pc-dsbox-xv2#r-1619367341383\" target=\"_blank\"\u003eEspecificaciones técnicas\u003c\/a\u003e\u003c\/li\u003e\n\n\n\u003c\/ul\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eEspecificaciones técnicas\u003c\/h2\u003e\n\u003ctable style=\"width: 70%; margin: auto;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eMódulos compatibles\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003eNVIDIA Jetson AGX Xavier 32GB\u003c\/p\u003e\n\n\u003cp\u003eNVIDIA Jetson AGX Xavier 64GB\u003c\/p\u003e\n\n\u003cp\u003eNVIDIA Jetson AGX Xavier Industrial 32GB\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e32 \/ 64 GB 256-bit LPDDR4x\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eInterfaces gráficas\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e1x HDMI 2.0 (resolución máx. 3840x2160)\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003e1x Gigabit Ethernet \u003c\/p\u003e\n\n\u003cp\u003e2x USB 3.1 Tipo-A\u003c\/p\u003e\n\n\u003cp\u003e1x CAN Bus \u003c\/p\u003e\n\n\u003cp\u003e1x RS232\/422\/485 (configurable por software)\u003c\/p\u003e\n\n\u003cp\u003e2x Tipo-C (Depuración\/Recuperación)\u003c\/p\u003e\n\n\u003cp\u003e2x Entrada digital, 3x Salida digital \u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eComunicación inalámbrica\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003eConectividad WiFi\/Bluetooth mediante zócalos de expansión\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eFuente de alimentación\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e18-30 VCC\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eZócalos de expansión\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e1x M.2 Key-E, 1x MicroSD\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eAlmacenamiento masivo\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003e32 \/ 64 GB eMMC 5.1 Flash \u003c\/p\u003e\n\n\u003cp\u003e1x Ranura SSD 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\u003e\u003cb\u003e\u003cstrong\u003eCondiciones ambientales\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e-25°C … +85°C \u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eFactor de forma \/ Dimensiones\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e160 mm x 110 X 95 mm, 1340 gr \u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eSistemas operativos\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003eUbuntu Linux 18.04 \/ 20.04\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003ctd\u003e\u003cb\u003e\u003cstrong\u003eSoporte JetPack\u003c\/strong\u003e\u003c\/b\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\n\n\u003cp\u003eJetPack 4.x (4.4.1 \/ 4.5 \/ 4.5.1 \/ 4.6 \/ 4.6.1 \/ 4.6.2 \/ 4.6.3)\u003c\/p\u003e\n\n\u003cp\u003eJetPack 5.x (5.0.2 \/ 5.1)\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","brand":"Forecr.io","offers":[{"title":"32GB \/ None","offer_id":45117747167549,"sku":"SBC1050-32","price":186999.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ Power Block (90W)","offer_id":45117745299773,"sku":"SBC1050-32+ELC5075","price":189999.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ 250GB NVME SSD","offer_id":45117745332541,"sku":"SBC1050-32+SBC2105","price":191899.99,"currency_code":"INR","in_stock":false},{"title":"32GB \/ Power Block (90W) + 250GB NVME SSD","offer_id":45117745365309,"sku":"SBC1050-32+SBC2105+ELC5075","price":196499.99,"currency_code":"INR","in_stock":false},{"title":"32GB Industrial \/ None","offer_id":45117747233085,"sku":"SBC1050-INSTRL","price":229999.99,"currency_code":"INR","in_stock":false},{"title":"32GB Industrial \/ Power Block (90W)","offer_id":45117745496381,"sku":"SBC1050-INSTRL+ELC5075","price":234999.99,"currency_code":"INR","in_stock":false},{"title":"32GB Industrial \/ 250GB NVME SSD","offer_id":45117745529149,"sku":"SBC1050-INSTRL+SBC2105","price":235499.99,"currency_code":"INR","in_stock":false},{"title":"32GB Industrial \/ Power Block (90W) + 250GB NVME SSD","offer_id":45117745561917,"sku":"SBC1050-INSTRL+ELC5075+SBC2105","price":240499.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/dsbox-xv2-1.jpg?v=1683103003"},{"product_id":"thinkrobotics-jetson-nano-dev-kit-sub","title":"ThinkRobotics Jetson Nano Dev Kit (SUB)","description":"\u003ch1 style=\"text-align: center;\"\u003eKit de desarrollo \/ expansión para Jetson Nano\u003c\/h1\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\n\n\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eSolución alternativa al kit B01\u003c\/span\u003e\u003cspan\u003e \u003c\/span\u003e\n\n\u003c\/h3\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-1.jpg\" alt=\"\" style=\"margin-bottom: 16px; float: none;\"\u003e\u003c\/div\u003e\n\u003cp style=\"text-align: center;\"\u003eBasado en los computadores de IA Jetson Nano, proporciona\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003ecasi las mismas\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003einterfaces periféricas, tamaño y grosor que el kit de desarrollo Jetson Nano (B01), lo que resulta más conveniente para actualizar el módulo central. Al utilizar la potencia del módulo central, está calificado para campos como la clasificación de imágenes, detección de objetos, segmentación, procesamiento de voz, etc., y puede utilizarse en diversos proyectos de IA.\u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eComparativa con el B01\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003ecompatible con módulos de expansión y carcasas del kit de desarrollo Jetson Nano (B01)\u003c\/h4\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1957.64px;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr style=\"height: 447.188px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 447.188px; width: 50.65%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-7-1.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eKit de desarrollo Jetson Nano (B01)\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 447.188px; width: 49.1165%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-7-2.jpg\"\u003e\n\u003cp\u003e\u003cstrong\u003eJETSON-NANO-DEV-KIT\u003c\/strong\u003e\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 63.6094px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 63.6094px; width: 99.7664%;\" colspan=\"2\"\u003e\n\n\u003ch3 class=\"richTitle\"\u003eComparación de la solución de almacenamiento\u003c\/h3\u003e\n\n\u003ch4 class=\"richDesc\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003ealmacenamiento predeterminado\u003c\/span\u003e\u003c\/h4\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 479.562px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 479.562px; width: 50.65%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-5-1.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eKit de desarrollo Jetson Nano (B01)\u003c\/strong\u003e\u003cbr\u003eEl módulo Nano incluido en el kit B01 no tiene almacenamiento integrado; se requiere una tarjeta TF externa para usarla como disco de inicio del sistema\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 479.562px; width: 49.1165%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-5-2.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eJETSON-NANO-DEV-KIT\u003c\/strong\u003e\u003cbr\u003eIncluye un módulo Nano con 16 GB de eMMC integrados, lectura\/escritura más estable, no requiere tarjeta TF adicional para el disco de inicio, proporcionando suficiente espacio para instalar la imagen del sistema y los requisitos de desarrollo\/estudio en la mayoría de los casos\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 33.4688px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 33.4688px; width: 99.7664%;\" colspan=\"2\"\u003e\n\n\u003ch3 class=\"richDesc\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eOpción de almacenamiento externo\u003c\/span\u003e\u003c\/h3\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 440.375px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 440.375px; width: 50.65%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-6-1.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eKit de desarrollo Jetson Nano (B01)\u003c\/strong\u003e\u003cbr\u003eEl kit B01 requiere una tarjeta TF externa para ser utilizada como disco de inicio del sistema\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 440.375px; width: 49.1165%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-6-2.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eJETSON-NANO-DEV-KIT\u003c\/strong\u003e\u003cbr\u003eViene con una tarjeta TF de 64 GB, no es necesario comprarla por separado, para proyectos de desarrollo complejos\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 33.4688px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; height: 33.4688px; width: 99.7664%;\" colspan=\"2\"\u003e\n\n\u003ch3 style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eRanura para tarjeta TF externa\u003c\/span\u003e\u003c\/h3\u003e\n\n\n\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr style=\"height: 459.969px;\"\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 459.969px; width: 50.65%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-8-1.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eKit de desarrollo Jetson Nano (B01)\u003c\/strong\u003e\u003cbr\u003eNo hay ranura para tarjeta TF externa en la placa de expansión; necesita estar equipada con un módulo Nano con interfaz para tarjeta TF\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"border: 0px; vertical-align: top; text-align: center; height: 459.969px; width: 49.1165%;\"\u003e\n\n\u003cimg class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-8-2.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eJETSON-NANO-DEV-KIT\u003c\/strong\u003e\u003cbr\u003eAdmite tarjeta TF. Para usar esta función, debe modificar el archivo del árbol de dispositivos, lo cual es difícil para los usuarios que recién comienzan. Puede usarse como expansión de memoria o disco de inicio\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\u003cdiv\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eComparación de especificaciones\u003c\/h2\u003e\n\n\u003cbr\u003e\n\u003ctable class=\"tabSty-2 subBlock\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e \u003c\/th\u003e\n\n\u003ctd\u003e\u003cstrong\u003eKit de desarrollo Jetson Nano (B01)\u003c\/strong\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003cstrong\u003eJETSON-NANO-DEV-KIT\u003c\/strong\u003e\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eMaxwell de 128 núcleos\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eQuad-core ARM A57 a 1,43 GHz\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eMemoria\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e4 GB LPDDR4 de 64 bits, 25,6 GB\/s\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eAlmacenamiento\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd\u003eTarjeta TF\u003cbr\u003e(NO incluida)\u003c\/td\u003e\n\n\u003ctd\u003eeMMC de 16 GB + tarjeta TF de 64 GB\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eCodificador de video\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e250 MP\/s\u003cbr\u003e1x 4K a 30 [HEVC]\u003cbr\u003e2x 1080p a 60 [HEVC]\u003cbr\u003e4x 1080p a 30 [HEVC]\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eDecodificador de video\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e500 MP\/s\u003cbr\u003e1x 4K a 60 [HEVC]\u003cbr\u003e2x 4K a 30 [HEVC]\u003cbr\u003e4x 1080p a 60 [HEVC]\u003cbr\u003e8x 1080p a 30 [HEVC]\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eCámara\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e2 carriles MIPI CSI-2 DPHY\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eConectividad\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eGigabit Ethernet, conector de expansión M.2 Key E\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003ePantalla\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eHDMI y DP\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e4x USB 3.0, Micro-B USB 2.0\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003e\u003cstrong\u003eInterfaces de extensión\u003c\/strong\u003e\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eGPIO, I2C, I2S, SPI, UART\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eDimensiones\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003e100 × 80 × 29 mm\u003c\/td\u003e\n\n\n\u003c\/tr\u003e\n\n\u003ctr\u003e\n\n\u003cth\u003eOtros\u003c\/th\u003e\n\n\u003ctd colspan=\"2\"\u003eConector 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\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv class=\"pdT\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eJuegue con visión binocular\u003c\/h2\u003e\n\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eAdmite cámara CSI de 2 carriles, adecuada para aplicaciones de visión binocular como algoritmos de medición de paralaje, reconocimiento facial, detección de organismos, grabación de video VR...\u003c\/p\u003e\n\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-3.jpg\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eSalidas duales 4K\u003c\/h2\u003e\n\n\u003ch4 style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eadmite puertos de alta definición DisplayPort y HDMI\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-9.jpg\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e4x USB3.0 de alta velocidad\u003c\/h2\u003e\n\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003etransmisión de datos de alta velocidad USB 3.0, permite más periféricos USB\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-11.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eCabezal GPIO de 40 pines codificado por colores\u003c\/h2\u003e\n\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003epines de cabezal codificados por colores con etiquetas claras, fáciles de usar\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-13.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eIntroducción\u003c\/h2\u003e\n\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-intro.jpg\"\u003e\n\u003col class=\"alignl\"\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eZócalo del módulo central\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eRanura para tarjeta TF\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eConector M.2 Key E\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eCabezal de ventilador de 1,25 mm\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cstrong\u003ePines PoE\u003c\/strong\u003e: el módulo PoE no está incluido\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eCabezal GPIO de 40 pines\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eCabezal de ventilador de 2,54 mm\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cstrong\u003ePuerto Micro USB:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003epara entrada de alimentación de 5V o para transmisión de datos USB\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cstrong\u003ePuerto Gigabit Ethernet:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eautonegociación 10\/100\/1000Base-T, admite PoE si se conecta un módulo PoE externo\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003e4x puertos USB 3.0\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003ePuerto de salida HDMI\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eConector DisplayPort\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cstrong\u003eJack de CC:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003epara entrada de alimentación de 5V\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003e2x conector de cámara MIPI CSI\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\u003cstrong\u003eCabezal multifunción de 12 pines\u003c\/strong\u003e\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003e\n\n\u003cstrong\u003eBotón PWR:\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003econtrol de encendido\/apagado (misma función que el pin PWR BTN)\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\n\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eDimensiones del contorno\u003c\/h2\u003e\n\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-details-size.jpg\"\u003e\n\n\u003c\/div\u003e\n\u003cdiv class=\"richGridWrap mgnTB\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003eRecursos\u003c\/h2\u003e\n\n\u003cp class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-NANO-DEV-KIT\" target=\"_blank\"\u003eJETSON-NANO-DEV-KIT\u003c\/a\u003e\u003c\/p\u003e\n\n\u003ch2 class=\"bgGrey\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"bgGrey\"\u003eEl paquete contiene:\u003c\/h2\u003e\n\n\u003cp\u003e\u003cstrong\u003ePeso:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e350 gramos\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cdiv class=\"std\"\u003e\n\n\u003cdiv class=\"sep0px\"\u003e \u003c\/div\u003e\n\n\u003ch3\u003eJETSON-NANO-DEV-KIT\u003c\/h3\u003e\n\n\u003col\u003e\n\n\u003cli\u003eJETSON-IO-BASE-A (placa portadora)\u003c\/li\u003e\n\n\u003cli\u003eMódulo Jetson Nano\u003c\/li\u003e\n\n\u003cli\u003eDisipador de calor oficial\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\n\u003cdiv class=\"imgTextWrap\"\u003e\n\n\u003cdiv\u003e1\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-IO-BASE-A\/JETSON-IO-BASE-A-4_220.jpg\"\u003e2\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Nano-Module\/Jetson-Nano-Module-2_220.jpg\"\u003e3\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/NANO-HEATSINK\/NANO-HEATSINK-1_220.jpg\"\u003e\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":49531065467197,"sku":"SBC1108","price":30899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-nano-dev-kit-a-1_1_6.jpg?v=1730212078"},{"product_id":"nvidia-jetson-orin-super-nano-deployment-kit-made-in-india","title":"Kit de implementación NVIDIA Jetson Orin Super Nano - Hecho en la India","description":"\u003cdiv class=\"document\"\u003e\n\n\u003cdiv id=\"detail-target-0\" class=\"detail-label-item active\"\u003e\n\n\u003cdiv id=\"product.info.description\" class=\"detail-item-content data item content product data items\"\u003e\n\n\u003cdiv class=\"product attribute description\"\u003e\n\n\u003cdiv class=\"description-content-wrapper\" style=\"text-align: center;\"\u003e\n\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\n\u003ch2 class=\"richTitle hilitColor\"\u003eKit de desarrollo NVIDIA Jetson Orin™ Super Nano - Fabricado en India\u003c\/h2\u003e\n\n\u003ch4 class=\"hilitBlock2\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003econ placa portadora Waveshare\u003c\/span\u003e\u003c\/h4\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-1.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003e\n\n\u003cspan style=\"color: rgb(194, 0, 1);\"\u003e\u003c\/span\u003e\u003cbr\u003e\n\n\u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle hilitColor\"\u003e\n\n\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eBasado en el módulo Jetson Orin Nano\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eKit de desarrollo de computación de borde de IA\u003c\/span\u003e\n\n\u003c\/h2\u003e\n\n\u003ch4 class=\"richDesc\"\u003eEste no es el kit de desarrollo oficial de N-VIDIA\u003c\/h4\u003e\n\n\u003cp class=\"alignl pdTRBL\"\u003eEste kit incluye el módulo Orin Nano con opciones de \u003cspan class=\"hilitColor\"\u003ememoria de 4GB\/8GB\u003c\/span\u003e, sin módulo de almacenamiento integrado, y proporciona hasta 20 TOPS\/67 TOPS de rendimiento de IA. Viene con una \u003cspan class=\"hilitColor\"\u003eunidad de estado sólido NVMe de 256GB preinstalada\u003c\/span\u003e, de lectura\/escritura de alta velocidad, para satisfacer las necesidades del desarrollo de grandes proyectos de IA.\u003c\/p\u003e\n\n\u003cbr\u003eEste kit también viene con una tarjeta de red inalámbrica AW-CB375NF preinstalada que admite Bluetooth 5.0 y WIFI de doble banda, con dos antenas de PCB adicionales, para proporcionar una conexión de red inalámbrica fiable y de alta velocidad, así como comunicación Bluetooth.\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-NANO-4G-DEV-KIT-details-7.jpg?v=1771656799\" alt=\"\"\u003e\u003c\/div\u003e\n\n\u003cdiv class=\"pdTRBL\"\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003cp class=\"alignl pdTRBL\"\u003e \u003c\/p\u003e\n\n\u003ch2 class=\"alignl pdTRBL\"\u003e\u003cstrong class=\"hilitColor\"\u003eJETSON-ORIN-NANO-DEV-KIT\u003c\/strong\u003e\u003c\/h2\u003e\n\n\u003cp class=\"alignl pdTRBL\"\u003eIncluye el módulo Jetson Orin Nano (opciones de 4GB\/8GB), placa base JETSON-ORIN-IO-BASE, ventilador de refrigeración, unidad de estado sólido NVMe de 256GB\/128GB, tarjeta de red inalámbrica de doble banda AW-CB375NF, cable USB, cable Ethernet, fuente de alimentación, etc.\u003c\/p\u003e\n\n\n\u003c\/div\u003e\n\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\n\u003cdiv\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-NANO-4G-DEV-KIT_3c62a9a4-1a21-42bb-a689-b6ad4d51b37d.jpg?v=1735817819\"\u003e\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ch1 style=\"text-align: center;\"\u003e\u003cstrong class=\"hilitColor\"\u003e \u003c\/strong\u003e\u003c\/h1\u003e\n\n\u003cdiv\u003e\n\n\u003ch2 class=\"richTitle hilitColor\"\u003eEspecificaciones del Jetson Orin Nano\u003c\/h2\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\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24432\" target=\"_blank\"\u003eMódulo Jetson Orin Nano 4GB\u003c\/a\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24499\" target=\"_blank\"\u003eKit Waveshare\u003c\/a\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24433\" target=\"_blank\"\u003eMódulo Jetson Orin Nano 8GB\u003c\/a\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24505\" target=\"_blank\"\u003eKit Waveshare\u003c\/a\u003e\u003c\/td\u003e\n\n\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-developer-kit.htm\" 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 vía 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\u003eRanura M.2 Key M con PCIe Gen3 x4\/\u003cbr\u003eRanura M.2 Key M con PCIe Gen3 x2\/\u003cbr\u003eRanura M.2 Key E\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\"\u003eRanura M.2 Key M con PCIe Gen3 x4\/\u003cbr\u003eRanura M.2 Key M con PCIe Gen3 x2\/\u003cbr\u003eRanura M.2 Key E\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 vía 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 vía 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 VÍDEO\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 VÍDEO\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 multimodo 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 multimodo 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, conector de alimentación DC\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\u003eCabezal de expansión de 40 pines (UART, SPI, I2S, I2C, GPIO), cabezal de botón de 12 pines, cabezal de ventilador de 4 pines, conector de alimentación DC\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 DC\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 mmx 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 de producto para ver las configuraciones UPHY admitidas.\u003cbr\u003e** Los canales virtuales para Jetson Orin Nano están sujetos a cambios.\u003cbr\u003eConsulte la sección de Funciones de software de la última Guía de desarrollador de NVIDIA Jetson Linux para obtener una lista de las funciones admitidas.\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\n\u003ch1 style=\"text-align: center;\"\u003e \u003c\/h1\u003e\n\n\u003cdiv\u003e\n\n\u003ch2 class=\"richTitle hilitColor\"\u003eRecursos a bordo\u003c\/h2\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-9.jpg\"\u003e\n\n\u003c\/div\u003e\n\n\u003ch1 style=\"text-align: center;\"\u003e \u003c\/h1\u003e\n\n\u003cdiv class=\"pdT\"\u003e\n\n\u003ch2 class=\"richTitle\"\u003eSoftware y modelos de aplicaciones profesionales\u003c\/h2\u003e\n\n\u003ctable style=\"width: 95%; margin: auto;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; vertical-align: top; border: 0px;\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-11.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eSoftware N-VIDIA\u003c\/strong\u003e\u003cbr\u003eTodos los módulos y kits de desarrollo N-VIDIA Jetson son compatibles con el mismo stack de software de N-VIDIA Jetson, por lo que puede desarrollar una vez y desplegar en cualquier lugar. 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 hasta el borde.\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; vertical-align: top; border: 0px;\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-13.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\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 sentimiento y más. Los modelos preentrenados del catálogo NGC™ están optimizados para el rendimiento y listos para ser ajustados con el TAO Toolkit de N-VIDIA y los conjuntos de datos del cliente, reduciendo el tiempo y el costo del desarrollo de software de IA de producción.\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\u003cp class=\"pdT\" style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003ePlataformas N-VIDIA para robótica, voz por IA y ciudades inteligentes\u003c\/h2\u003e\n\n\u003cp class=\"richDesc\"\u003eLas plataformas de software de N-VIDIA, incluyendo Isaac para robótica, Riva para voz por IA y Metropolis para análisis de vídeo, están disponibles para acelerar aplicaciones específicas de cada sector.\u003c\/p\u003e\n\n\u003ctable style=\"width: 95%; margin: auto;\"\u003e\n\n\u003ctbody\u003e\n\n\u003ctr\u003e\n\n\u003ctd style=\"text-align: center; vertical-align: top; border: 0px;\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-15.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Isaac\u003c\/strong\u003e\u003cbr\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\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; vertical-align: top; border: 0px;\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-17.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Riva\u003c\/strong\u003e\u003cbr\u003eN-VIDIA Riva es un SDK totalmente acelerado para crear aplicaciones de IA conversacional multimodal mediante un pipeline de aprendizaje profundo integral, adecuado para habilidades optimizadas en voz, visión y tareas de procesamiento de lenguaje natural (NLP).\u003c\/p\u003e\n\n\n\u003c\/td\u003e\n\n\u003ctd style=\"text-align: center; vertical-align: top; border: 0px;\"\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-19.jpg\"\u003e\n\u003cp class=\"alignl pdTRBL\"\u003e\u003cstrong\u003eN-VIDIA Metropolis\u003c\/strong\u003e\u003cbr\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\/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\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003ePresentación del producto\u003c\/h2\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-21.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\n\u003cdiv style=\"text-align: center;\"\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\"\u003eDimensiones generales\u003c\/h2\u003e\n\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-NANO-4G-DEV-KIT\/JETSON-ORIN-NANO-4G-DEV-KIT-details-size.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\n\u003c\/div\u003e\n\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"richTitle\" style=\"text-align: left;\"\u003eRecursos\u003c\/h2\u003e\n\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" id=\"tab-wiki\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/Jetson_Orin_Nano\u003c\/a\u003e\n\u003cp\u003e \u003c\/p\u003e\n\n\u003ch2 class=\"pdT\" style=\"text-align: left;\"\u003e \u003c\/h2\u003e\n\n\u003ch2 class=\"pdT\" style=\"text-align: left;\"\u003eContenido del paquete:\u003c\/h2\u003e\n\n\u003cp style=\"text-align: left;\"\u003e\u003cstrong\u003ePeso: \u003c\/strong\u003e\u003cspan\u003e0.572 kg\u003c\/span\u003e\u003c\/p\u003e\n\n\u003cdiv class=\"std\"\u003e\n\n\u003col\u003e\n\n\u003cli style=\"text-align: left;\"\u003eKit de desarrollo Waveshare Orin Nano:\n\u003col\u003e\n\n\u003cli style=\"text-align: left;\"\u003eMódulo Jetson Orin Nano x1\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eJETSON-ORIN-IO-BASE x1\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eVentilador de refrigeración x1\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eUnidad de estado sólido NVMe de 240GB (ensamblada) x1\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eTarjeta de red inalámbrica (ensamblada) x1\u003cbr\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ol\u003e\n\n\n\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eAdaptador de corriente x1\u003c\/li\u003e\n\n\u003cli style=\"text-align: left;\"\u003eCarcasa de aluminio\/metal \u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eOPCIONAL\u003c\/strong\u003e\u003c\/span\u003e\n\n\u003c\/li\u003e\n\n\n\u003c\/ol\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\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"4GB \/ 3D Printed Plastic","offer_id":49736291844413,"sku":"SBC1116-4","price":65249.99,"currency_code":"INR","in_stock":true},{"title":"4GB \/ Aluminium","offer_id":50506971644221,"sku":"SBC1116-4A","price":69149.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ 3D Printed Plastic","offer_id":49736291877181,"sku":"SBC1116-8","price":70999.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":50506971676989,"sku":"SBC1116-8A","price":74899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SBC1055-4.png?v=1752837866"},{"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":"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-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":"recomputer-robotics-j4012-with-gmsl-extension-intelligent-edge-ai-computer-with-nvidia-jetson-orin-nx-super-16gb","title":"reComputer Robotics J4012 with GMSL Extension - Intelligent Edge AI Computer with NVIDIA Jetson Orin NX Super 16GB","description":"\u003ch2 style=\"text-align: center;\"\u003ereComputer Robotics J4012 with NVIDIA Jetson Orin NX Super 16GB\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe reComputer Robotics J4012 with GMSL Extension is a compact, high-performance edge AI box designed for advanced robotics development. Compatible with NVIDIA® Jetson™ Orin™ NX modules in Super\/MAXN mode, it delivers up to 157 TOPS of AI performance, leveraging up to 1.7x improvement over its predecessor. Pre-installed with JetPack 6.2 and Linux BSP, it ensures seamless deployment, serving as a powerful robotic brain capable of processing complex data from various sensors, including GMSL cameras.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 156.75px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 18.2007%; height: 39.1875px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 80.6385%; height: 39.1875px;\"\u003eUp to 157 TOPS using NVIDIA® Jetson™ Orin™ NX 16GB in Super\/MAXN mode\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 18.2007%; height: 19.5938px;\"\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 80.6385%; height: 19.5938px;\"\u003eDual RJ45, M.2 for 5G\/Wi-Fi\/BT, 6x USB 3.2, 2x CAN, GMSL2, I2C, UART\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 18.2007%; height: 39.1875px;\"\u003e\u003cstrong\u003ePower \u0026amp; Thermal\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 80.6385%; height: 39.1875px;\"\u003eOperates from -20°C to 60°C at 25W, up to 55°C in MAXN mode, supports 19–54V DC input\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 18.2007%; height: 39.1875px;\"\u003e\u003cstrong\u003eSoftware\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 80.6385%; height: 39.1875px;\"\u003ePre-installed JetPack 6.2 with Linux BSP, supports NVIDIA Isaac Sim for robotics applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 18.2007%; height: 19.5938px;\"\u003e\u003cstrong\u003eGMSL Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 80.6385%; height: 19.5938px;\"\u003eReady-to-use GMSL extension supporting multiple GMSL cameras in JetPack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-robotic-J4012.webp?v=1777289136\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eJetson Modules Performance with Super Mode\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 58.7814px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 24.0206%; height: 19.5938px;\"\u003e\u003cstrong\u003ePower Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 74.8186%; height: 19.5938px;\"\u003eEnhanced power management for improved efficiency and stability\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 24.0206%; height: 19.5938px;\"\u003e\u003cstrong\u003eFrame Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 74.8186%; height: 19.5938px;\"\u003eImproved higher frame rate processing for smoother performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 24.0206%; height: 19.5938px;\"\u003e\u003cstrong\u003eInference\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 74.8186%; height: 19.5938px;\"\u003eReduced inference time for faster AI computations\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"626\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-J4011-2.png\"\u003e\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 style=\"border-collapse: collapse; width: 100%; height: 352.688px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 100%; height: 19.5938px;\" colspan=\"2\"\u003e\u003cstrong\u003eModule\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eApplications Processor (AP)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 39.1875px;\"\u003eNVIDIA Jetson Orin™ NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e157 TOPS (MAXN)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1024-core NVIDIA Ampere GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1173 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e8-core Arm® Cortex-A78AE v8.2 64-bit, 2MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e2 × NVDLA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eDL Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1.23 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1 × PVA v2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e16GB LPDDR5, 128-bit, 102.4GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003ePower Modes\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e10W \/ 15W \/ 25W \/ 40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1×4K60, 3×4K30, 6×1080p60, 12×1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e1×8K30, 2×4K60, 4×4K30, 9×1080p60, 18×1080p30 (H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eCSI Camera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 39.1875px;\"\u003eUp to 4 cameras (8 via virtual channels), 8 lanes MIPI CSI-2, D-PHY 2.1 (up to 20Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 25.5814%; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 74.4186%; text-align: center; height: 19.5938px;\"\u003e69.6mm × 45mm, 260-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\u003ctable style=\"border-collapse: collapse; width: 100%; height: 685.782px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd colspan=\"3\" style=\"border: 1px solid; text-align: center; height: 19.5938px; width: 100.166%;\"\u003e\u003cb\u003eCarrier Board\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 75.9136%;\"\u003e1x M.2 KEY M PCIe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid; height: 58.7814px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eM.2 KEY E\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e1x M.2 Key E for WiFi\/Bluetooth module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eM.2 KEY B\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e1x M.2 Key B for 5G module\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eEthernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e2x RJ-45 Gigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd rowspan=\"9\" style=\"border: 1px solid; height: 372.281px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eI\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 78.375px; text-align: center; width: 23.588%;\"\u003eUSB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 78.375px; text-align: center; width: 52.3256%;\"\u003e6x USB 3.2 Type-A (5Gbps)\u003cbr\u003e1x USB 3.0 Type-C (Host\/DP 1.4)\u003cbr\u003e1x USB 2.0 Type-C (Device Mode Only for Reflash\/Debug)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 23.588%;\"\u003eCAN\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 52.3256%;\"\u003e2x CAN0 (XT30(2+2))\u003cbr\u003e3x CAN1 (4-Pin GH-1.25 Header)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e1x DP1.4 (Type C Host)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eUART\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e1x UART 4-Pin GH-1.25 Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eI2C\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e2x I2C 4-Pin GH-1.25 Header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 23.588%;\"\u003eFan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 52.3256%;\"\u003e1x 4-Pin Fan Connector (5V PWM)\u003cbr\u003e1x 4-Pin Fan Connector (12V PWM)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 23.588%;\"\u003eExtension Port\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 52.3256%;\"\u003e1x Camera Expansion Header (GMSL2 board included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 23.588%;\"\u003eRTC\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 52.3256%;\"\u003e1x RTC 2-pin\u003cbr\u003e1x RTC Socket\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 78.375px; text-align: center; width: 23.588%;\"\u003eLED \/ Buttons\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 78.375px; text-align: center; width: 52.3256%;\"\u003e3x LED (PWR, ACT, User)\u003cbr\u003ePinhole: 1x PWR, 1x RESET\u003cbr\u003eDIP: 1x REC\u003cbr\u003e5x Antenna Hole\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 75.9136%;\"\u003e19–54V XT30(2+2) (XT30 to 5525 DC Jack Cable included)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eJetpack Version\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 75.9136%;\"\u003eJetPack 6.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd rowspan=\"3\" style=\"border: 1px solid; height: 78.3751px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 23.588%;\"\u003eDimensions (W × D × H)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 39.1875px; text-align: center; width: 52.3256%;\"\u003e115mm × 115mm × 38mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eWeight\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003e200g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 23.588%;\"\u003eInstallation\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 52.3256%;\"\u003eDesk, Wall-mounting\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 58.7812px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eOperating Temperature\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 58.7812px; text-align: center; width: 75.9136%;\"\u003e-20°C ~ 60°C (25W Mode)\u003cbr\u003e-20°C ~ 55°C (MAXN Mode)\u003cbr\u003e(with reComputer Robotics heat sink with fan)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eWarranty\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 75.9136%;\"\u003e2 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 24.2525%;\"\u003e\u003cstrong\u003eCertification\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid; height: 19.5938px; text-align: center; width: 75.9136%;\"\u003eRoHS, CE, FCC, KC (Pending)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\" colspan=\"3\"\u003e\u003cstrong\u003eCameras Supported in Jetpack\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e\u003cb\u003eManufacturer\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e\u003cb\u003eModel\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e\u003cb\u003eResolution\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 78.3752px;\" rowspan=\"4\"\u003e\u003cstrong\u003eSensing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003eSG3S-ISX031C-GMSL2F\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e1920H × 1536V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003eSG2-AR0233C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e1920H × 1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003eSG2-IMX390C-5200-G2A\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e1920H × 1080V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003eSG8S-AR0820C-5300-G2A\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e3840H × 2160V\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eOrbbec\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; height: 19.5938px;\"\u003eOrbbec Gemini 335LG\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; 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\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"900\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-114110308_1.jpeg\"\u003e\u003cimg height=\"1200\" width=\"1599\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-robotic-2.jpeg\"\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\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHumanoid Robot \u0026amp; Manipulation\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eServing as a powerful brain for humanoid robots, the reComputer Robotics series delivers rich perception with precise motion control. Emulating human-like sensing, dexterity, mobility and whole-body coordination—seamlessly collaborating with people to get tasks done.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"447\" width=\"854\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzU3ODgyNzc3Mw_403542_ZBsIfYDwP6YrlbL9_1765331085?w=2500\u0026amp;h=1308\u0026amp;type=image\/jpeg\" id=\"53dd74c9\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAutonomous Robots, AMRs\/ AGVs\/ Logistics Robots\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe CAN bus links servos or motors to drive Robotic Arms and Autonomous Robots with millisecond-level joint coordination.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLogistics Robots map in seconds via UART LiDAR, dodge on the fly and shuttle racks nonstop.\u003cbr\u003eI²C weaves temperature, humidity, IMU and fuel-gauge data into a net, giving robots early-maintenance alerts.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eUSB cameras scan barcodes while on the move, and a USB ticket printer labels parcels in real time—zero manual labor from inbound to outbound.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eDual-RJ45 link-aggregation delivers video to the Edge AI reCopmputer in \u0026lt;1 ms for real-time QC and remote monitoring.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"470\" width=\"837\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NzU3ODgyNzc3Mw_456274_LaWWTRiTvkiCZB4I_1765331122?w=4800\u0026amp;h=2700\u0026amp;type=image\/jpeg\" id=\"a7dc60c2\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eHigh-Performance Vision for Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eCombining a GMSL 2 camera with a reComputer Robotics enables advanced vision-based robotics. Sensing 3MP GMSL 2 camera supports real-time object detection, panoramic environment awareness, and multi-camera 3D reconstruction . The high-bandwidth, low-latency GMSL 2 link supports long cable runs and multi-camera setups, while the Jetson Orin NX delivers real-time AI processing for perception, mapping, and control.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"637\" width=\"1740\" src=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-Jetson\/J501\/yolo_1.gif\" id=\"210c380a\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e3D Vision and GMSL 2 Connectivity for Robotics\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe reComputer Robotics GMSL Extension supports the Orbbec Gemini 335LG Stereo Vision 3D Camera, providing accurate real-time 3D perception for advanced robotics. With the MAX96712 deserializer and mini-FAKRA connector, it ensures secure, low-latency, and reliable data transmission, ideal for AMRs, robotic arms, and collaborative robots. Precise depth sensing enables smarter navigation, robust object recognition, and reliable obstacle avoidance across mobile robots, delivery systems, and shelf-stocking applications.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"625\" width=\"857\" src=\"https:\/\/wdcdn.qpic.cn\/MTY4ODg1NTkyNTI4NTI1NA_409825__MXGaqzpcOJ4xIrg_1765250958?w=1878\u0026amp;h=1368\u0026amp;type=image\/png\" id=\"a44e43e0\"\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\u003ctable style=\"border-collapse: collapse; width: 100%; height: 235.125px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eUser Manual \u0026amp; Datasheet\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_robotics_J401_user_manual.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eCarrier Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Robotics%20J401_V1.0_SCH_250421.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003ePower Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Power%20board%20for%20reComputer%20Robotics_V1.0_SCH_250507.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eGMSL Board Schematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/GMSL%20board%20for%20reComputer%20Robotics_V1.0_SCH_250717.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003e3D File\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/recomputer_robotics_j401.stp\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 39.1875px; text-align: center;\"\u003eMechanical Document-reComputer Robotics PCBA\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 39.1875px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Robotics_PCBA.dxf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eSeeed NVIDIA Jetson Product Catalog\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed_NVIDIA_Jetson_Catalog_in_Robotics_and_Edge_AI.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eNvidia Jetson Comparison\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/nvidia-jetson-comparison-nano-tx2-nx-xavier-nx-agx-orin\/\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eSeeed Nvidia Jetson Success Cases\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eSeeed Jetson One Pager\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 50.1664%; height: 19.5938px; text-align: center;\"\u003eFlash BSP for Jetson\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.8336%; height: 19.5938px; text-align: center;\"\u003e\u003ca href=\"https:\/\/wiki.seeedstudio.com\/flash\/jetpack_to_selected_product\/\" rel=\"noopener\" 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;\"\u003ePart List\u003cbr\u003e\n\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; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003e\u003cb\u003eItems\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; text-align: center;\"\u003e\u003cb\u003eQuantity\u003c\/b\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003eJetson Orin™ NX 16GB module\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; text-align: center;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003eSeeed Carrier Board (reComputer Robotics J401) with GMSL Extension\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; text-align: center;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; text-align: center;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003eAluminum Case and Heatsink with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; text-align: center;\"\u003ex 1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 50.4967%; text-align: center;\"\u003eUSB Cable (Type-A to Type-C)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; height: 19.5938px; width: 49.5033%; 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It supports a wide range of operating temperature from -20℃ to 65℃. Built for fast development and production, it features Wi-Fi\/BT\/LTE wireless communication capability and Ethernet, ensuring seamless integration, ideal for video analysis, multimodal perception, and robotics.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"reComputer Super for NVIDIA Jetson Orin NX\/Orin Nano, supportting Super\/MAXN Mode\" src=\"https:\/\/www.youtube.com\/embed\/brhkUmWFnAM\" height=\"539\" width=\"943\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 195.938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 21.1386%; height: 39.1875px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 77.644%; height: 39.1875px;\"\u003eDelivers up to 117 TOPS in MAXN Super Mode, ideal for vision AI, robotics, and generative AI applications\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 21.1386%; height: 39.1875px;\"\u003e\u003cstrong\u003ePower Modes\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 77.644%; height: 39.1875px;\"\u003eConfigurable power modes from 10W to 40W for optimized performance and efficiency\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 21.1386%; height: 39.1875px;\"\u003e\u003cstrong\u003eThermal Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 77.644%; height: 39.1875px;\"\u003eOperates from -20°C to 60°C at 40W, and up to 65°C at 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 21.1386%; height: 39.1875px;\"\u003e\u003cstrong\u003eInterfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 77.644%; height: 39.1875px;\"\u003e2x RJ45, SIM card slot, 4x USB 3.2, HDMI 2.1, CAN, M.2 Key E\/M, Mini-PCIe, 4x CSI\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 21.1386%; height: 39.1875px;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 77.644%; height: 39.1875px;\"\u003ePre-installed JetPack 6.2 with 128GB NVMe SSD, supports NVIDIA Isaac, Hugging Face, ROS2\/ROS1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/reComputer_Super_J4011_4x_25892074-9f62-4ec7-86ef-460e3eeca84b.webp?v=1777095777\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"626\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-J4011-2.png\"\u003e\u003cimg alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/111-photo\/image_3.png\"\u003e\u003c\/p\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 height=\"900\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J4011-3.jpeg\"\u003e\u003cimg height=\"800\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J401-4.jpeg\"\u003e\u003cimg height=\"800\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J4011-5.jpeg\"\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\u003cp style=\"text-align: center;\"\u003eThe NVIDIA AI software stack is designed for accelerate AI application and deployment:\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"789\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J4011-6.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDesigned for Edge AI Computer Vision Applications\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eJetson Platform Services provide a platform to simplify development, deployment and management of Edge AI applications on NVIDIA Jetson like BEV sensing demo with 4 USB cameras.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"492\" width=\"1200\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image-_J401-7.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDesigned for demanding AI application\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eSuch as AMR, smart retail, industrial automation, and video surveillance, smart video analysis scenario\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg height=\"803\" width=\"843\" alt=\"\" src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/image6.png\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWe have Jetson-example prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8, and others. We have configured all environment for you to provides single command deployment of projects. \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocuments\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 176.344px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eUser Manual \u0026amp; Datasheet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_super_user_manual.pdf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eTemperature Test Report\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer_Super_Temperature_Test_Report.pdf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eSchematic\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401_v1.0_SCH_PDF_250401.pdf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003e3D File\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/reComputer%20Super%20J401.stp\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eMechanical Document-reComputer Super\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Super.dxf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eMechanical Document-reComputer Super PCBA\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA-Jetson\/Mechanical_reComputer_Super_PCBA.dxf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eSeeed Nvidia Jetson Success Cases\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2023\/07\/Seeed_NVIDIA_Jetson_Success_Cases_and_Examples.pdf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eSeeed Jetson One Pager\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/files.seeedstudio.com\/wiki\/Seeed_Jetson\/Seeed-Jetson-one-pager.pdf\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: left;\"\u003eFlash BSP for Jetson\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; width: 49.4196%; height: 19.5938px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/flash\/jetpack_to_selected_product\/\" 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;\"\u003ePart List\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 118.156px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.6875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.6875px; text-align: left;\"\u003eJetson Orin™ NX 16GB \/ NX 8GB \/ Nano 8GB \/ Nano 4GB Module\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.6875px;\"\u003e 1 \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.6875px; text-align: left;\"\u003eSeeed Carrier Board (reComputer Super J401)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.6875px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.6875px; text-align: left;\"\u003e128GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.6875px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.6875px; text-align: left;\"\u003eAluminum Case and Heatsink with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.6875px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6875px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.6875px; text-align: left;\"\u003eUSB Cable (Type-A to Type-C)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.6875px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.7188px;\"\u003e\n\u003ctd style=\"border: 1px solid; width: 49.9118%; height: 19.7188px; text-align: left;\"\u003eUser Manual\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid; text-align: center; width: 50.0882%; height: 19.7188px;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"Seeed Studio","offers":[{"title":"Default Title","offer_id":51637587607869,"sku":"SBC1150","price":173099.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/1-114110311-recomputer-super-j3010-8g_70fa5bec-ceb6-419a-9875-b9b3322f536c.jpg?v=1776946517"},{"product_id":"nvidia-jetson-orin-super-nano-deployment-kit-made-in-india-copy","title":"ThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI Deployment Kit","description":"\u003cstyle\u003e\n\/* =========================================================\n   THINKROBOTICS JETSON DESCRIPTION\n   LIGHT \/ DARK MODE SAFE CSS\n   CONTENT + ALIGNMENT + SPACING PRESERVED\n   ========================================================= *\/\n\n.tr-jetson {\n  max-width: 1200px;\n  margin: 0 auto;\n  font-family: Arial, Helvetica, sans-serif;\n  line-height: 1.6;\n\n  \/* Use Shopify theme colors where available *\/\n  --tr-text: rgb(var(--color-foreground, 34, 34, 34));\n  --tr-heading: rgb(var(--color-foreground, 17, 17, 17));\n  --tr-bg: rgb(var(--color-background, 255, 255, 255));\n\n  --tr-card-bg: rgba(127, 127, 127, 0.05);\n  --tr-soft-bg: rgba(127, 127, 127, 0.07);\n  --tr-header-bg: rgba(127, 127, 127, 0.10);\n  --tr-border: rgba(127, 127, 127, 0.28);\n\n  --tr-accent: #c20001;\n}\n\n\/* ---------------------------------------------------------\n   GLOBAL CONTENT\n   --------------------------------------------------------- *\/\n\n.tr-jetson * {\n  box-sizing: border-box;\n}\n\n.tr-jetson,\n.tr-jetson p,\n.tr-jetson li,\n.tr-jetson td,\n.tr-jetson th {\n  color: var(--tr-text);\n}\n\n.tr-jetson h1,\n.tr-jetson h2,\n.tr-jetson h3,\n.tr-jetson h4,\n.tr-jetson h5,\n.tr-jetson h6,\n.tr-jetson strong,\n.tr-jetson b {\n  color: var(--tr-heading);\n}\n\n\n\/* ---------------------------------------------------------\n   HERO\n   --------------------------------------------------------- *\/\n\n.tr-hero {\n  background: var(--tr-soft-bg);\n  border-radius: 18px;\n  padding: 45px 30px;\n  text-align: center;\n  margin-bottom: 35px;\n}\n\n.tr-hero h1 {\n  font-size: 34px;\n  line-height: 1.25;\n  margin: 0 0 15px;\n  font-weight: 700;\n  color: var(--tr-heading);\n}\n\n.tr-hero .tr-subtitle {\n  font-size: 19px;\n  color: var(--tr-text);\n  max-width: 850px;\n  margin: 0 auto 22px;\n  opacity: 0.78;\n}\n\n\n\/* ---------------------------------------------------------\n   BADGES\n   --------------------------------------------------------- *\/\n\n.tr-badges {\n  display: flex;\n  justify-content: center;\n  flex-wrap: wrap;\n  gap: 10px;\n  margin-top: 20px;\n}\n\n.tr-badge {\n  background: var(--tr-heading);\n  color: var(--tr-bg);\n  padding: 8px 15px;\n  border-radius: 30px;\n  font-size: 14px;\n  font-weight: 600;\n}\n\n\n\/* ---------------------------------------------------------\n   WARNING\n   --------------------------------------------------------- *\/\n\n.tr-warning {\n  background: rgba(194, 0, 1, 0.08);\n  border: 1px solid rgba(194, 0, 1, 0.35);\n  color: #c20001;\n  padding: 14px 18px;\n  border-radius: 10px;\n  margin: 25px auto 0;\n  max-width: 850px;\n  font-size: 14px;\n  font-weight: 600;\n}\n\n.tr-warning strong,\n.tr-warning b {\n  color: #c20001;\n}\n\n\n\/* ---------------------------------------------------------\n   SECTIONS\n   --------------------------------------------------------- *\/\n\n.tr-section {\n  margin: 45px 0;\n}\n\n.tr-section h2 {\n  font-size: 27px;\n  text-align: center;\n  margin-bottom: 12px;\n  color: var(--tr-heading);\n}\n\n.tr-section-intro {\n  text-align: center;\n  max-width: 850px;\n  margin: 0 auto 28px;\n  color: var(--tr-text);\n  opacity: 0.78;\n  font-size: 16px;\n}\n\n\n\/* ---------------------------------------------------------\n   IMAGES\n   --------------------------------------------------------- *\/\n\n.tr-image {\n  text-align: center;\n  margin: 25px 0;\n}\n\n.tr-image img {\n  max-width: 100%;\n  height: auto;\n  border-radius: 14px;\n}\n\n\n\/* ---------------------------------------------------------\n   VARIANTS\n   --------------------------------------------------------- *\/\n\n.tr-variants {\n  display: grid;\n  grid-template-columns: repeat(4, 1fr);\n  gap: 16px;\n  margin-top: 25px;\n}\n\n.tr-variant {\n  border: 1px solid var(--tr-border);\n  border-radius: 14px;\n  padding: 22px 15px;\n  text-align: center;\n  background: var(--tr-card-bg);\n  color: var(--tr-text);\n  transition: 0.2s ease;\n}\n\n.tr-variant:hover {\n  box-shadow: 0 8px 25px rgba(0,0,0,0.08);\n  transform: translateY(-2px);\n}\n\n.tr-variant h3 {\n  margin: 0 0 8px;\n  font-size: 18px;\n  color: var(--tr-heading);\n}\n\n.tr-variant .memory {\n  font-size: 25px;\n  font-weight: 700;\n  color: var(--tr-accent);\n}\n\n.tr-variant p {\n  margin: 7px 0 0;\n  color: var(--tr-text);\n  opacity: 0.70;\n  font-size: 14px;\n}\n\n\n\/* ---------------------------------------------------------\n   FEATURE CARDS\n   --------------------------------------------------------- *\/\n\n.tr-features {\n  display: grid;\n  grid-template-columns: repeat(3, 1fr);\n  gap: 18px;\n}\n\n.tr-feature {\n  border: 1px solid var(--tr-border);\n  border-radius: 14px;\n  padding: 24px;\n  background: var(--tr-card-bg);\n  color: var(--tr-text);\n}\n\n.tr-feature h3 {\n  margin: 0 0 9px;\n  font-size: 18px;\n  color: var(--tr-heading);\n}\n\n.tr-feature p {\n  margin: 0;\n  color: var(--tr-text);\n  opacity: 0.75;\n  font-size: 14px;\n}\n\n\n\/* ---------------------------------------------------------\n   INDUSTRIAL HIGHLIGHT\n   --------------------------------------------------------- *\/\n\n.tr-highlight {\n  background: var(--tr-heading);\n  color: var(--tr-bg);\n  border-radius: 16px;\n  padding: 35px 28px;\n  margin: 40px 0;\n}\n\n.tr-highlight h2,\n.tr-highlight p,\n.tr-highlight strong,\n.tr-highlight b,\n.tr-highlight li,\n.tr-highlight span {\n  color: var(--tr-bg);\n}\n\n.tr-highlight h2 {\n  text-align: left;\n  margin-top: 0;\n}\n\n.tr-highlight ul {\n  margin: 15px 0 0;\n  padding-left: 22px;\n}\n\n.tr-highlight li {\n  margin-bottom: 8px;\n}\n\n\n\/* ---------------------------------------------------------\n   TABLES\n   --------------------------------------------------------- *\/\n\n.tr-table-wrap {\n  overflow-x: auto;\n  margin-top: 20px;\n}\n\n.tr-table {\n  width: 100%;\n  border-collapse: collapse;\n  min-width: 700px;\n  font-size: 14px;\n  color: var(--tr-text);\n  background: transparent;\n}\n\n.tr-table th,\n.tr-table td {\n  border: 1px solid var(--tr-border);\n  padding: 13px 14px;\n  text-align: left;\n  vertical-align: top;\n  color: var(--tr-text);\n  background: transparent;\n}\n\n.tr-table th {\n  background: var(--tr-header-bg);\n  font-weight: 700;\n  color: var(--tr-heading);\n}\n\n\/*\n   IMPORTANT:\n   Do NOT use white\/gray fixed backgrounds here.\n   This keeps all table rows compatible with both themes.\n*\/\n\n.tr-table tr:nth-child(even) td,\n.tr-table tr:nth-child(odd) td {\n  background: transparent;\n  color: var(--tr-text);\n}\n\n.tr-table td strong,\n.tr-table td b,\n.tr-table th strong,\n.tr-table th b {\n  color: var(--tr-heading);\n}\n\n\n\/* ---------------------------------------------------------\n   KIT BOXES\n   --------------------------------------------------------- *\/\n\n.tr-kit {\n  display: grid;\n  grid-template-columns: 1fr 1fr;\n  gap: 22px;\n}\n\n.tr-kit-box {\n  border: 1px solid var(--tr-border);\n  border-radius: 14px;\n  padding: 25px;\n  background: var(--tr-card-bg);\n  color: var(--tr-text);\n}\n\n.tr-kit-box h3 {\n  margin-top: 0;\n  font-size: 20px;\n  color: var(--tr-heading);\n}\n\n.tr-kit-box ul {\n  margin: 0;\n  padding-left: 20px;\n}\n\n.tr-kit-box li,\n.tr-kit-box p {\n  color: var(--tr-text);\n}\n\n\n\/* ---------------------------------------------------------\n   APPLICATIONS\n   --------------------------------------------------------- *\/\n\n.tr-applications {\n  display: grid;\n  grid-template-columns: repeat(4, 1fr);\n  gap: 15px;\n}\n\n.tr-application {\n  background: var(--tr-soft-bg);\n  border-radius: 13px;\n  padding: 20px;\n  text-align: center;\n  font-weight: 600;\n  color: var(--tr-heading);\n}\n\n.tr-application strong,\n.tr-application b {\n  color: var(--tr-heading);\n}\n\n\n\/* ---------------------------------------------------------\n   NOTE\n   --------------------------------------------------------- *\/\n\n.tr-note {\n  background: var(--tr-soft-bg);\n  border-left: 4px solid var(--tr-heading);\n  padding: 17px 20px;\n  margin-top: 25px;\n  font-size: 14px;\n  color: var(--tr-text);\n}\n\n.tr-note strong,\n.tr-note b {\n  color: var(--tr-heading);\n}\n\n\n\/* ---------------------------------------------------------\n   FOOTER\n   --------------------------------------------------------- *\/\n\n.tr-footer {\n  background: var(--tr-soft-bg);\n  border-radius: 15px;\n  padding: 28px;\n  text-align: center;\n  margin-top: 45px;\n  color: var(--tr-text);\n}\n\n.tr-footer h2 {\n  color: var(--tr-heading);\n}\n\n.tr-footer p {\n  color: var(--tr-text);\n}\n\n\n\/* =========================================================\n   DARK MODE\n   Supports common Shopify\/theme dark-mode class patterns\n   ========================================================= *\/\n\nhtml.dark .tr-jetson,\nbody.dark .tr-jetson,\nhtml.dark-mode .tr-jetson,\nbody.dark-mode .tr-jetson,\nhtml.theme-dark .tr-jetson,\nbody.theme-dark .tr-jetson,\nhtml[data-theme=\"dark\"] .tr-jetson,\nbody[data-theme=\"dark\"] .tr-jetson,\nhtml[data-theme=\"Dark\"] .tr-jetson,\nbody[data-theme=\"Dark\"] .tr-jetson {\n\n  --tr-text: #eeeeee;\n  --tr-heading: #ffffff;\n  --tr-bg: #111111;\n\n  --tr-card-bg: rgba(255,255,255,0.045);\n  --tr-soft-bg: rgba(255,255,255,0.065);\n  --tr-header-bg: rgba(255,255,255,0.09);\n  --tr-border: rgba(255,255,255,0.18);\n}\n\n\n\/* ---------------------------------------------------------\n   DARK MODE - TABLE\n   --------------------------------------------------------- *\/\n\nhtml.dark .tr-table,\nbody.dark .tr-table,\nhtml.dark-mode .tr-table,\nbody.dark-mode .tr-table,\nhtml.theme-dark .tr-table,\nbody.theme-dark .tr-table,\nhtml[data-theme=\"dark\"] .tr-table,\nbody[data-theme=\"dark\"] .tr-table,\nhtml[data-theme=\"Dark\"] .tr-table,\nbody[data-theme=\"Dark\"] .tr-table {\n\n  color: #eeeeee;\n  background: transparent;\n}\n\nhtml.dark .tr-table th,\nbody.dark .tr-table th,\nhtml.dark-mode .tr-table th,\nbody.dark-mode .tr-table th,\nhtml.theme-dark .tr-table th,\nbody.theme-dark .tr-table th,\nhtml[data-theme=\"dark\"] .tr-table th,\nbody[data-theme=\"dark\"] .tr-table th,\nhtml[data-theme=\"Dark\"] .tr-table th,\nbody[data-theme=\"Dark\"] .tr-table th {\n\n  color: #ffffff;\n  background: rgba(255,255,255,0.09);\n  border-color: rgba(255,255,255,0.18);\n}\n\nhtml.dark .tr-table td,\nbody.dark .tr-table td,\nhtml.dark-mode .tr-table td,\nbody.dark-mode .tr-table td,\nhtml.theme-dark .tr-table td,\nbody.theme-dark .tr-table td,\nhtml[data-theme=\"dark\"] .tr-table td,\nbody[data-theme=\"dark\"] .tr-table td,\nhtml[data-theme=\"Dark\"] .tr-table td,\nbody[data-theme=\"Dark\"] .tr-table td {\n\n  color: #eeeeee;\n  background: transparent;\n  border-color: rgba(255,255,255,0.18);\n}\n\nhtml.dark .tr-table td strong,\nbody.dark .tr-table td strong,\nhtml.dark-mode .tr-table td strong,\nbody.dark-mode .tr-table td strong,\nhtml.theme-dark .tr-table td strong,\nbody.theme-dark .tr-table td strong,\nhtml[data-theme=\"dark\"] .tr-table td strong,\nbody[data-theme=\"dark\"] .tr-table td strong {\n\n  color: #ffffff;\n}\n\n\n\/* ---------------------------------------------------------\n   DARK MODE - APPLICATIONS\n   --------------------------------------------------------- *\/\n\nhtml.dark .tr-application,\nbody.dark .tr-application,\nhtml.dark-mode .tr-application,\nbody.dark-mode .tr-application,\nhtml.theme-dark .tr-application,\nbody.theme-dark .tr-application,\nhtml[data-theme=\"dark\"] .tr-application,\nbody[data-theme=\"dark\"] .tr-application {\n\n  background: rgba(255,255,255,0.075);\n  color: #ffffff;\n}\n\nhtml.dark .tr-application strong,\nbody.dark .tr-application strong,\nhtml.dark-mode .tr-application strong,\nbody.dark-mode .tr-application strong,\nhtml.theme-dark .tr-application strong,\nbody.theme-dark .tr-application strong {\n\n  color: #ffffff;\n}\n\n\n\/* ---------------------------------------------------------\n   DARK MODE - CARDS\n   --------------------------------------------------------- *\/\n\nhtml.dark .tr-variant,\nbody.dark .tr-variant,\nhtml.dark-mode .tr-variant,\nbody.dark-mode .tr-variant,\nhtml.theme-dark .tr-variant,\nbody.theme-dark .tr-variant,\nhtml[data-theme=\"dark\"] .tr-variant,\nbody[data-theme=\"dark\"] .tr-variant,\nhtml.dark .tr-feature,\nbody.dark .tr-feature,\nhtml.dark-mode .tr-feature,\nbody.dark-mode .tr-feature,\nhtml.theme-dark .tr-feature,\nbody.theme-dark .tr-feature,\nhtml[data-theme=\"dark\"] .tr-feature,\nbody[data-theme=\"dark\"] .tr-feature,\nhtml.dark .tr-kit-box,\nbody.dark .tr-kit-box,\nhtml.dark-mode .tr-kit-box,\nbody.dark-mode .tr-kit-box,\nhtml.theme-dark .tr-kit-box,\nbody.theme-dark .tr-kit-box,\nhtml[data-theme=\"dark\"] .tr-kit-box,\nbody[data-theme=\"dark\"] .tr-kit-box {\n\n  background: rgba(255,255,255,0.045);\n  border-color: rgba(255,255,255,0.18);\n}\n\n\n\/* ---------------------------------------------------------\n   DARK MODE - NOTE \/ FOOTER \/ HERO\n   --------------------------------------------------------- *\/\n\nhtml.dark .tr-hero,\nbody.dark .tr-hero,\nhtml.dark-mode .tr-hero,\nbody.dark-mode .tr-hero,\nhtml.theme-dark .tr-hero,\nbody.theme-dark .tr-hero,\nhtml[data-theme=\"dark\"] .tr-hero,\nbody[data-theme=\"dark\"] .tr-hero,\nhtml.dark .tr-note,\nbody.dark .tr-note,\nhtml.dark-mode .tr-note,\nbody.dark-mode .tr-note,\nhtml.theme-dark .tr-note,\nbody.theme-dark .tr-note,\nhtml[data-theme=\"dark\"] .tr-note,\nbody[data-theme=\"dark\"] .tr-note,\nhtml.dark .tr-footer,\nbody.dark .tr-footer,\nhtml.dark-mode .tr-footer,\nbody.dark-mode .tr-footer,\nhtml.theme-dark .tr-footer,\nbody.theme-dark .tr-footer,\nhtml[data-theme=\"dark\"] .tr-footer,\nbody[data-theme=\"dark\"] .tr-footer {\n\n  background: rgba(255,255,255,0.05);\n}\n\n\n\/* =========================================================\n   MOBILE\n   ========================================================= *\/\n\n@media (max-width: 900px) {\n\n  .tr-variants {\n    grid-template-columns: repeat(2, 1fr);\n  }\n\n  .tr-features {\n    grid-template-columns: repeat(2, 1fr);\n  }\n\n  .tr-applications {\n    grid-template-columns: repeat(2, 1fr);\n  }\n\n}\n\n@media (max-width: 600px) {\n\n  .tr-hero {\n    padding: 30px 18px;\n  }\n\n  .tr-hero h1 {\n    font-size: 27px;\n  }\n\n  .tr-hero .tr-subtitle {\n    font-size: 16px;\n  }\n\n  .tr-variants,\n  .tr-features,\n  .tr-kit,\n  .tr-applications {\n    grid-template-columns: 1fr;\n  }\n\n  .tr-section h2 {\n    font-size: 23px;\n  }\n\n}\n\u003c\/style\u003e\n\u003cdiv class=\"tr-jetson\"\u003e\n\u003c!-- HERO --\u003e\n\u003csection class=\"tr-hero\"\u003e\n\u003ch1\u003eThinkRobotics NVIDIA Jetson Orin NX \/ Nano Edge AI Deployment Kit\u003c\/h1\u003e\n\u003cp class=\"tr-subtitle\"\u003eA ready-to-deploy Jetson-based AI computing platform combining NVIDIA Jetson modules, Waveshare carrier board, NVMe storage, wireless connectivity, industrial-grade metal enclosure and 12V power supply.\u003c\/p\u003e\n\u003cdiv class=\"tr-badges\"\u003e\n\u003cspan class=\"tr-badge\"\u003eJetson Orin Nano\u003c\/span\u003e \u003cspan class=\"tr-badge\"\u003eJetson Orin NX\u003c\/span\u003e \u003cspan class=\"tr-badge\"\u003eIndustrial Metal Case\u003c\/span\u003e \u003cspan class=\"tr-badge\"\u003eNVMe SSD\u003c\/span\u003e \u003cspan class=\"tr-badge\"\u003eWi-Fi + Bluetooth\u003c\/span\u003e \u003cspan class=\"tr-badge\"\u003e12V 5A Power Supply\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- PRODUCT OVERVIEW --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003ch2\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/WhatsAppImage2026-09-05at5.26.12PM.jpg?v=1788609426\" alt=\"\"\u003e\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/section\u003e\n\u003c!-- VARIANTS --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003ch2\u003eChoose Your Jetson Configuration\u003c\/h2\u003e\n\u003cp class=\"tr-section-intro\"\u003eSelect the Jetson module based on your required AI performance, memory capacity and deployment requirements.\u003c\/p\u003e\n\u003cdiv class=\"tr-variants\"\u003e\n\u003cdiv class=\"tr-variant\"\u003e\n\u003cdiv class=\"memory\"\u003e4GB\u003c\/div\u003e\n\u003ch3\u003eJetson Orin Nano\u003c\/h3\u003e\n\u003cp\u003eEntry-level AI edge computing\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-variant\"\u003e\n\u003cdiv class=\"memory\"\u003e8GB\u003c\/div\u003e\n\u003ch3\u003eJetson Orin Nano\u003c\/h3\u003e\n\u003cp\u003eHigher-performance AI workloads\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-variant\"\u003e\n\u003cdiv class=\"memory\"\u003e8GB\u003c\/div\u003e\n\u003ch3\u003eJetson Orin NX\u003c\/h3\u003e\n\u003cp\u003eAdvanced AI and robotics\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-variant\"\u003e\n\u003cdiv class=\"memory\"\u003e16GB\u003c\/div\u003e\n\u003ch3\u003eJetson Orin NX\u003c\/h3\u003e\n\u003cp\u003eHigh-performance edge AI\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- KEY FEATURES --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cdiv class=\"tr-features\"\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Jetson Platform\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eAvailable with Jetson Orin Nano 4GB\/8GB and Jetson Orin NX 8GB\/16GB module configurations.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eWaveshare Carrier Board\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eReliable carrier platform providing interfaces for storage, networking, USB, GPIO and other peripheral connectivity.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eIndustrial Metal Enclosure\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eRugged industrial-grade metal case designed to provide mechanical protection for the Jetson computing platform during deployment.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVMe SSD Storage\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003ePre-installed NVMe solid-state storage provides fast read\/write performance for operating systems, applications and AI workloads.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eWi-Fi + Bluetooth\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eIntegrated wireless connectivity with Wi-Fi and Bluetooth support for networked edge applications and peripheral communication.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003e12V 5A Power Supply\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eIncludes a 12V 5A power supply suitable for powering the assembled Jetson platform.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- INDUSTRIAL CASE --\u003e\n\u003csection class=\"tr-highlight\"\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBuilt for Industrial Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eUnlike an open development-board setup, this configuration is assembled inside an industrial-grade metal enclosure, making it more suitable for integration into robotics, automation and edge-computing systems.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRigid metal construction | \u003cspan style=\"font-size: 0.875rem;\"\u003eProtection for the Jetson module and carrier board\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eImproved mechanical durability | Suitable for embedded and industrial installations\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eDesigned for long-term deployment environments\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/section\u003e\n\u003c!-- COMMON COMPONENTS --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003ch2\u003eCommon Components Across All Variants\u003c\/h2\u003e\n\u003cdiv class=\"tr-kit\"\u003e\n\u003cdiv class=\"tr-kit-box\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eIncluded Hardware\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003eSelected NVIDIA Jetson Orin Nano \/ Orin NX module\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWaveshare carrier board\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eIndustrial-grade metal enclosure\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eNVMe SSD\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWi-Fi + Bluetooth wireless module\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eAntennas\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eCooling solution\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-kit-box\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003ePower \u0026amp; Connectivity\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e12V 5A power supply\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eGigabit Ethernet connectivity\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eUSB connectivity\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eGPIO \/ expansion interfaces\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eCSI camera interfaces supported by carrier board\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eWireless network connectivity\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- SPECIFICATION --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eJetson Module Comparison\u003c\/h2\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable style=\"width: 100%; min-width: 1050px; border-collapse: collapse; font-size: 14px; line-height: 1.5;\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 14px; background: rgba(127, 127, 127, 0.1); text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 14px; background: rgba(127, 127, 127, 0.1); text-align: center;\"\u003eJetson Orin Nano 4GB\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 14px; background: rgba(127, 127, 127, 0.1); text-align: center;\"\u003eJetson Orin Nano 8GB\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgba(127,127,127,0.3); padding: 14px; text-align: center; background: rgba(127,127,127,0.10);\"\u003eJetson Orin NX 8GB\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgba(127,127,127,0.3); padding: 14px; text-align: center; background: rgba(127,127,127,0.10);\"\u003eJetson Orin NX 16GB\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003c!-- AI PERFORMANCE --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eSparse INT8 Performance — Standard\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 20 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 40 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 70 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 100 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eSparse INT8 Performance — MAXN_SUPER\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: bold; text-align: center;\"\u003eUp to 34 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: bold; text-align: center;\"\u003eUp to 67 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 117 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 157 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eDense INT8 Performance — Standard\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 10 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 20 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 35 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 50 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eDense INT8 Performance — MAXN_SUPER\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: bold; text-align: center;\"\u003eUp to 17 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: bold; text-align: center;\"\u003eUp to 33 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 58 TOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 78 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- GPU --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eGPU \u0026amp; CUDA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eNVIDIA Ampere GPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e512\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1024\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1024\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e16\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e32\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e32\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e32\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eGPU Frequency — Standard\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 625 MHz\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 765 MHz\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 918 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eGPU Frequency — MAXN_SUPER\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 1020 MHz\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003eUp to 1173 MHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eFP32 Performance — Standard\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e0.64 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1.28 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1.56 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1.88 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eFP32 Performance — MAXN_SUPER\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1.04 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e2.08 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e2.40 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e2.40 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eFP16 Performance — Standard\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1.28 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e2.56 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e3.12 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e3.76 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eFP16 Performance — MAXN_SUPER\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e2.08 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e4.16 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e4.80 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e4.80 TFLOPs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- CPU --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eCPU\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e6-core Arm Cortex-A78AE\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e6-core Arm Cortex-A78AE\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e8-core Arm Cortex-A78AE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eCPU Frequency — Standard\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 1.5 GHz\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eCPU Frequency — MAXN_SUPER\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 1.7 GHz\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 2.0 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- MEMORY --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eMemory\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eLPDDR5 Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e4GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e8GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e8GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMemory Bus\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e64-bit\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e128-bit\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e128-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMemory Bandwidth — Standard\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e34 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e68 GB\/s\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMemory Bandwidth — MAXN_SUPER\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e51 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e102 GB\/s\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- VIDEO \/ DISPLAY --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eVideo \u0026amp; Display\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eH.265 \/ H.264 \/ VP9 \/ AV1\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eH.265 \/ H.264 \/ VP9 \/ AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e1080p30 via CPU software\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eH.265 \/ H.264 \/ AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMaximum Display Resolution\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e3840 × 2160 @ 30 Hz\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e7680 × 4320 @ 30 Hz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- INTERFACES --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003eHigh-Speed Interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003ePCIe\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to PCIe Gen3\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to PCIe Gen4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eUSB\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003eUp to 3 × USB 3.2 + 3 × USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMIPI CSI-2\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e8 lanes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eGigabit Ethernet\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e10\/100\/1000 Mbps\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c!-- POWER --\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"5\" style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 12px 14px; font-weight: bold; background: rgba(127, 127, 127, 0.07); text-align: center;\"\u003ePower Modes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eStandard Power Modes\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e7W \/ 10W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e7W \/ 15W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e10W \/ 15W \/ 20W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e10W \/ 15W \/ 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eMAXN_SUPER Power Mode\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e25W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e25W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e40W\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center; font-weight: bold;\"\u003e40W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003eOperating Temperature (TJ)\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e-25°C to 105°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgba(127, 127, 127, 0.3); padding: 13px 14px; font-weight: 600; text-align: center;\"\u003e24×7 Operating Lifetime\u003c\/td\u003e\n\u003ctd colspan=\"4\" style=\"border: 1px solid rgba(127,127,127,0.3); padding: 13px 14px; text-align: center;\"\u003e5 Years\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- SOFTWARE --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eNVIDIA Software Ecosystem\u003c\/h2\u003e\n\u003cp class=\"tr-section-intro\"\u003eJetson platforms provide an extensive software ecosystem for developing and deploying accelerated AI applications at the edge.\u003c\/p\u003e\n\u003cdiv class=\"tr-features\"\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA JetPack\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eSoftware stack for Jetson development, including system software, libraries and tools for accelerated AI applications.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Isaac\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eRobotics development platform supporting simulation, perception, navigation and accelerated robotics workloads.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tr-feature\"\u003e\n\u003ch3 style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA Metropolis\u003c\/strong\u003e\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eAI-powered video analytics platform for smart spaces, industrial monitoring and computer vision applications.\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- APPLICATIONS --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eApplications\u003c\/h2\u003e\n\u003cdiv class=\"tr-applications\"\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eRobotics\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eComputer Vision\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eIndustrial Automation\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eEdge AI\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eAutonomous Systems\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eSmart Surveillance\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eAI Inspection\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"tr-application\"\u003e\u003cstrong\u003eEmbedded AI\u003c\/strong\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/section\u003e\n\u003c!-- PACKAGE CONTENTS --\u003e\n\u003csection class=\"tr-section\"\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003ePassive Cooling\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eDesigned for Jetson Orin NX \/ Nano with passive cooling\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-CASE-C-details-3_ab8f9cfd-f1a1-4f30-8a7b-1d957446f253.jpg?v=1788759933\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003ePrecise Opening Design\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eExquisite manufacturing process, Fitting \u0026amp; Nice Looking\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/JETSON-ORIN-CASE-C\/JETSON-ORIN-CASE-C-details-5.jpg\" alt=\"JETSON-ORIN-CASE-C, Precise Opening Design\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eOnboard Power Button With Indicator\u003c\/h2\u003e\n\u003ch2\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/JETSON-ORIN-CASE-C\/JETSON-ORIN-CASE-C-details-7.jpg\" alt=\"JETSON-ORIN-CASE-C, Onboard Power Indicator\"\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eReserved Rail-Mount Buckle Mounting Holes\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eEasy to install to specific scenarios\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/JETSON-ORIN-CASE-C\/JETSON-ORIN-CASE-C-details-9.jpg\" alt=\"JETSON-ORIN-CASE-C, Reserved rail mounting holes\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003eOutline Dimensions\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ch2\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/JETSON-ORIN-CASE-C\/JETSON-ORIN-CASE-C-details-size.jpg\" alt=\"JETSON-ORIN-CASE-C, outline dimensions\"\u003e\u003c\/h2\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eDocumentation \u0026amp; Resources\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; border: 1px solid rgba(127, 127, 127, 0.35); font-family: inherit; color: inherit; background: transparent; height: 173.562px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: rgba(127, 127, 127, 0.08); height: 43.3906px;\"\u003e\n\u003cth style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); height: 43.3906px; width: 50.1789%; text-align: center;\"\u003eDocument\u003c\/th\u003e\n\u003cth style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); height: 43.3906px; width: 49.8211%; text-align: center;\"\u003eLink\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.3906px;\"\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 50.1789%;\"\u003eJetson Orin Nano Datasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 49.8211%;\"\u003e\u003cspan style=\"text-decoration: underline; color: rgb(255, 42, 0);\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Jetson-Orin-Nano-Series-Modules-Datasheet_DS-11105-001_v1.7.pdf?v=1788762374\" style=\"color: rgb(255, 42, 0); text-decoration: underline;\" target=\"_blank\"\u003eView Datasheet\u003c\/a\u003e\u003c\/em\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.3906px;\"\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 50.1789%;\"\u003eJetson Orin NX Datasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 49.8211%;\"\u003e\u003cspan style=\"text-decoration: underline; color: rgb(255, 42, 0);\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Jetson-Orin-NX-Series-Modules-Datasheet_DS-10712-001_v1.7.pdf?v=1788762375\" style=\"color: rgb(255, 42, 0); text-decoration: underline;\" target=\"_blank\"\u003eView Datasheet\u003c\/a\u003e\u003c\/em\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 43.3906px;\"\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 50.1789%;\"\u003eJetson Orin Nano \/ NX Flashing Guide\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; height: 43.3906px; width: 49.8211%;\"\u003e\u003cspan style=\"text-decoration: underline; color: rgb(255, 42, 0);\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" style=\"color: rgb(255, 42, 0); text-decoration: underline;\" target=\"_blank\"\u003eView Guide\u003c\/a\u003e\u003c\/em\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\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003ePackage Contents\u003c\/h2\u003e\n\u003cdiv class=\"tr-table-wrap\"\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; border: 1px solid rgba(127,127,127,0.35); font-family: inherit; color: inherit; background: transparent;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"background: rgba(127,127,127,0.08);\"\u003e\n\u003cth style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003eItem\u003c\/th\u003e\n\u003cth style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003eQuantity\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003e\u003cstrong\u003eSelected Jetson Orin Nano \/ Orin NX Module\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003eWaveshare Carrier Board\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003eIndustrial-Grade Metal Enclosure\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003eWi-Fi + Bluetooth Module\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 49.6441%;\"\u003e1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border: 1px solid rgba(127, 127, 127, 0.35); text-align: center; width: 50.3559%;\"\u003eWireless 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