{"title":"NVIDIA Jetson | Official Page","description":"\u003cp\u003eNVIDIA Jetson is a cutting-edge edge AI computing platform designed to power the next generation of intelligent machines. Built by NVIDIA, Jetson offers high-performance, energy-efficient modules tailored for robotics, computer vision, autonomous systems, and AIoT applications. From rapid prototyping to full-scale deployment, Jetson provides the tools and performance developers need to bring advanced AI to the edge.\u003c\/p\u003e\n\u003cp\u003eThe Jetson family includes powerful modules such as Jetson Nano, Xavier NX, Orin NX, and Orin AGX, each delivering GPU-accelerated computing with support for deep learning, computer vision, and real-time data processing. Paired with the NVIDIA JetPack SDK, these modules offer a seamless development environment with access to the latest AI frameworks and libraries.\u003c\/p\u003e\n\u003cp\u003eRenowned for their reliability, scalability, and ease of integration, NVIDIA Jetson platforms are trusted by developers, researchers, and enterprises worldwide to build smart, autonomous systems.\u003c\/p\u003e\n\u003cp\u003eThinkRobotics is an official and leading distributor of NVIDIA Jetson products, offering the full range of genuine modules, developer kits, and accessories with expert support and fast, reliable delivery.\u003c\/p\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(252, 66, 66);\"\u003eThis is the official NVIDIA Jetson collection page on ThinkRobotics.\u003c\/span\u003e\u003c\/p\u003e","products":[{"product_id":"nvidia-jetson-nano-module-online","title":"NVIDIA Jetson Nano Module","description":"\u003cp\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe power of modern AI is now available for makers, learners, and embedded developers everywhere. \u003c\/span\u003eJetson Nano is a small, powerful computer for embedded applications and AI IoT that delivers the power of modern AI in a module.\u003c\/p\u003e\n\u003cp\u003eGet started fast with the comprehensive\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetpack\"\u003eJetPack SDK\u003c\/a\u003e\u003cspan\u003e \u003c\/span\u003ewith accelerated libraries for deep learning, computer vision, graphics, multimedia, and more. Jetson Nano has the performance and capabilities you need to run modern AI workloads, giving you a fast and easy way to add advanced AI to your next product. To get started with your development process, check out the\u003cspan\u003e \u003c\/span\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/buy\/jetson-nano-devkit\"\u003eJetson Nano Developer Kit\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eJetson Nano has the performance and capabilities needed to run modern AI workloads fast, making it possible to add advanced AI to any product. Jetson Nano brings AI to a world of new embedded and IoT applications, including entry-level network video recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eGet started today with the Jetson Nano Kit. \u003c\/strong\u003e\u003cstrong\u003eAll Jetson kits ship FREE with Bluedart (applicable to Bluedart service zones only).\u003c\/strong\u003e\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003cp\u003e\u003cspan\u003eModule Technical Specifications\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable align=\"center\" border=\"1\" cellpadding=\"0\" cellspacing=\"0\" style=\"width: 488.766px; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eGPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eNVIDIA Maxwell\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 128 NVIDIA CUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores 0.5 TFLOPs (FP16)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCPU\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eQuad-core ARM\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMemory\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4 GB 64-bit LPDDR4\u003cbr\u003e1600MHz - 25.6 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eStorage\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e16 GB eMMC 5.1 Flash\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eCamera\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e12 lanes (3x4 or 4x2) MIPI CSI-2 D-PHY 1.1 (18 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"2\" class=\"tableCLdata\" style=\"width: 98px;\"\u003eConnectivity\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eWi-Fi requires external chip\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eDisplay\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003eHDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eUPHY\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eI\/O\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eSize\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e69.6 mm x 45 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 98px;\"\u003eMechanical\u003c\/td\u003e\n\u003ctd colspan=\"2\" class=\"tableCRdata\" style=\"width: 384.766px;\"\u003e260-pin edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39512343609430,"sku":"SBC1101-MOD","price":23899.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-nano-module-standing-2c50-d.jpg?v=1629456435"},{"product_id":"nvidia-jetson-xavier-nx-som","title":"Nvidia Jetson Xavier NX SOM","description":"\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eCOMPACT, POWERFUL PERFORMANCE AT THE EDGE\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eThe World’s Smallest AI Supercomputer for Embedded and Edge Systems. Now with Cloud-Native Support.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eNVIDIA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eJetson Xavier\u003csup data-mce-fragment=\"1\"\u003e™\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eNX brings supercomputer performance to the edge in a small form factor system-on-module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX now features cloud-native support that lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/gpu-cloud\/\"\u003eNVIDIA NGC\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eand the\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\" target=\"_blank\" data-mce-href=\"https:\/\/developer.nvidia.com\/transfer-learning-toolkit\"\u003eNVIDIA Transfer Learning Toolkit\u003c\/a\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003egive you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates. Jetson Xavier NX accelerates the NVIDIA software stack with more than 10X the performance of its widely adopted predecessor, Jetson TX2.\u003c\/p\u003e\n\u003cp\u003eSmaller than a credit card (70x45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance—21 TOPS (at 15 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors—a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.\u003c\/p\u003e\n\u003cp\u003eJetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures\u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eXAVIER PERFORMANCE. NANO SIZE.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eAt 70 mm x 45 mm, Jetson Xavier NX packs the power of an NVIDIA Xavier SoC into a module the size of a\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003e\u003ca data-mce-fragment=\"1\" href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\" data-mce-href=\"https:\/\/www.nvidia.com\/en-in\/autonomous-machines\/embedded-systems\/jetson-nano\/\"\u003eJetson Nano\u003c\/a\u003e. This small module combines exceptional performance and power advantages with a rich set of IOs—from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. Take advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capability to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance: \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePOWERFUL 21 TOPS AI PERFORMANCE\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX delivers up to 21 TOPS, making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA\u003csup data-mce-fragment=\"1\"\u003e®\u003c\/sup\u003e\u003cspan data-mce-fragment=\"1\"\u003e \u003c\/span\u003eCores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 51GB\/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower:\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003eINCREDIBLE POWER EFFICIENCY\u003c\/p\u003e\n\u003cdiv data-mce-fragment=\"1\" class=\"description color-black  body-text\"\u003e\n\u003cp data-mce-fragment=\"1\"\u003eJetson Xavier NX supports multiple power modes, including low-power modes for battery-operated systems, and delivers up to 14 TOPs for AI applications in as little as 10 W. This leaves more of your power budget for sensors and peripherals, while still letting you use the entire NVIDIA software stack. You now have the performance to run all modern AI networks and frameworks with accelerated libraries for deep learning, computer vision, computer graphics, multimedia, and more.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications\u003c\/h5\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e384-core NVIDIA Volta\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eGPU with 48 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e6-core NVIDIA Carmel ARM\u003csup\u003e®\u003c\/sup\u003ev8.2 64-bit CPU\u003cbr\u003e6MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e8 GB 128-bit LPDDR4x\u003cbr\u003e51.2GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10 W|15 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT\/s*\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003eUp to 6 cameras (24 via virtual channels)\u003cbr\u003e14 lanes (3x4 or 6x2) MIPI CSI-2\u003cbr\u003eD-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp30 | 6x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x 4Kp60 | 4x 4Kp30 | 12x 1080p60 | 32x 1080p30 (H.265)\u003cbr\u003e2x 4Kp30 | 6x 1080p60 | 16x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2 multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e2x NVDLA Engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB","offer_id":39799560142934,"sku":"SBC1102-MOD8","price":71999.99,"currency_code":"INR","in_stock":false},{"title":"16GB","offer_id":39799560175702,"sku":"SBC1102-MOD16","price":91999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1.png?v=1629459334"},{"product_id":"nvidia-jetson-tx2-nx-online","title":"NVIDIA Jetson TX2 NX","description":"\u003cp\u003eNVIDIA® Jetson™ TX2 series modules give you exceptional speed and power efficiency in an embedded AI computing device. Each supercomputer-on-a-module brings true AI computing to the edge with an NVIDIA Pascal™ GPU, up to 8 GB of memory and 59.7 GB\/s of memory bandwidth, and a wide range of standard hardware interfaces.\u003c\/p\u003e\n\u003cp\u003e\u003cspan\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It’s compact, power-efficient, and ideal for your next AI solution, from manufacturing and retail to agriculture and life sciences. Pre-trained AI models, Transfer Learning Toolkit, and the NVIDIA JetPack\u003c\/span\u003e\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e SDK help you get your best product to market—fast.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5\u003eFeatures\u003c\/h5\u003e\n\u003cp\u003eSIze\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMINIMIZE YOUR FOOTPRINT\u003c\/strong\u003e\u003cbr\u003eNow you can get exceptionally high compute, accuracy, and power efficiency in a module the size of a credit card. Its small 50 mm x 87 mm size enables real deep learning applications in small form-factor products like drones and more.\u003c\/p\u003e\n\u003cp\u003ePerformance \u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMAXIMIZE YOUR PERFORMANCE\u003c\/strong\u003e\u003cbr\u003eExperience more than double the performance or twice the energy efficiency of Jetson TX1. It’s all made possible by Jetson TX2’s 256-core NVIDIA Pascal architecture and 8 GB memory for the fastest compute and inference.\u003c\/p\u003e\n\u003cp\u003ePower\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eOPTIMIZE YOUR POWER EFFICIENCY\u003c\/strong\u003e\u003cbr\u003eWith Jetson TX2, you can now run large, deep neural networks for higher accuracy on edge devices. At just 7.5 watts, it delivers 25X more energy efficiency than a state-of-the-art desktop-class CPU. This makes it ideal for real-time processing in applications where bandwidth and latency can be an issue. These include factory robots, commercial drones, enterprise collaboration devices, intelligent cameras for smart cities.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eA JETSON TX2 FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr\u003eThe extended Jetson TX2 family of embedded modules provides up to 2.5X the performance of Jetson Nano in as little as 7.5 W. Jetson TX2 NX offers pin and form-factor compatibility with Jetson Nano, while Jetson TX2, TX2 4GB, and TX2i all share the original Jetson TX2 form-factor. The rugged Jetson TX2i is ideal for settings including industrial robots and medical equipment.\u003c\/p\u003e\n\u003ch5\u003eSpecifications\u003c\/h5\u003e\n\u003ctable style=\"width: 474.625px;\" cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1.33 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eGPU\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eNVIDIA Pascal\u003csup\u003e™\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003earchitecture with 256 NVIDIA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCUDA\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003ecores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCPU\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm\u003csup\u003e®\u003c\/sup\u003e\u003cspan\u003e \u003c\/span\u003eCortex\u003csup\u003e®\u003c\/sup\u003e-A57 MPCore processor complex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMemory\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e4 GB 128-bit LPDDR4\u003cbr\u003e51.2 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eStorage\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e16 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePower\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e7.5W | 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003ePCIe\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1 x1 + 1 x2\u003cbr\u003ePCIe Gen2, total 30 GT\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003eUp to 5 cameras (12 via virtual channels)\u003cbr\u003e12 lanes MIPI CSI-2 (3x4 or 5x2)\u003cbr\u003eD-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)\u003cbr\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eDisplay\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.0\u003cbr\u003e1x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eNetworking\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px;\" class=\"tableCRdata\" colspan=\"2\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"width: 89px;\" class=\"tableCLdata\"\u003eMechanical\u003c\/td\u003e\n\u003ctd style=\"width: 379.625px; text-align: left;\" class=\"tableCRdata\" colspan=\"2\"\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39516436791382,"sku":"SBC1103-NX","price":29649.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/Image1_88553d47-d730-4de0-aad7-4a8a9dfe6b57.png?v=1629799470"},{"product_id":"nvidia-jetson-agx-xavier-module-online","title":"Nvidia Jetson AGX Xavier Module","description":"\u003cp data-mce-fragment=\"1\"\u003eNVIDIA® Jetson AGX Xavier™ sets a new bar for compute density, energy efficiency, and AI inferencing capabilities on edge devices. It’s the next evolution in next-generation intelligent machines with end-to-end autonomous capabilities.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cspan\u003eThe Jetson AGX Xavier module makes AI-powered autonomous machines possible, running in as little as 10W and delivering up to 32 TOPs. As part of the world’s leading AI computing platform, it benefits from NVIDIA’s rich set of AI tools and workflows, enabling developers to quickly train and deploy neural networks.\u003c\/span\u003e\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eFeatures \u003c\/h5\u003e\n\u003cp data-mce-fragment=\"1\"\u003eSize\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA BREAKTHROUGH IN EMBEDDED APPLICATIONS\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAt just 100 x 87 mm, Jetson AGX Xavier offers big workstation performance at 1\/10 the size of a workstation. This makes it ideal for autonomous machines like delivery and logistics robots, factory systems, and large industrial UAVs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePerformance \u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTAKING PERFORMANCE TO THE EDGE\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eAs the world’s first computer designed specifically for autonomous machines, Jetson AGX Xavier has the performance to handle visual odometry, sensor fusion, localization and mapping, obstacle detection, and path-planning algorithms that are critical to next-generation robots. Get GPU workstation-class performance with up to 32 TOPS of peak compute and 750 Gbps of high-speed I\/O in a compact form factor.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003ePower\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eTHE POWER OF FLEXIBILITY\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series provides the highest level of performance for autonomous machines in a power-efficient system. Jetson AGX Xavier ships with configurable power profiles preset for 10W, 15W, and 30W, and Jetson AGX Xavier Industrial ships with profiles preset for 20W and 40W. These power profiles are switchable at runtime and can be customized to your specific application needs.\u003c\/p\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cstrong data-mce-fragment=\"1\"\u003eA JETSON AGX XAVIER FOR ANY APPLICATION\u003c\/strong\u003e\u003cbr data-mce-fragment=\"1\"\u003eThe Jetson AGX Xavier series of modules deliver up to 32 TOPS of AI performance, and NVIDIA’s rich set of AI tools and workflows lets developers train and deploy neural networks quickly.\u003c\/p\u003e\n\u003ch5 data-mce-fragment=\"1\"\u003eSpecifications \u003c\/h5\u003e\n\u003ctable cellspacing=\"0\" cellpadding=\"0\" border=\"1\" align=\"center\" style=\"width: 480.578px;\" data-mce-fragment=\"1\"\u003e\n\u003ctbody data-mce-fragment=\"1\"\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eGPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eNVIDIA Volta architecture with 512 NVIDIA CUDA cores and 64 Tensor cores\u003cbr data-mce-fragment=\"1\"\u003e22 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCPU\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e8-core NVIDIA Carmel Armv8.2 64-bit CPU\u003cbr data-mce-fragment=\"1\"\u003e8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x NVDLA\u003cbr data-mce-fragment=\"1\"\u003e10 TOPS (INT8)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x 7-Way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMemory\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32GB 256-bit LPDDR4x\u003cbr data-mce-fragment=\"1\"\u003e136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eStorage\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e32 GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eCSI Camera\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eUp to 6 cameras (36 via virtual channels)\u003cbr data-mce-fragment=\"1\"\u003e16 lanes MIPI CSI-2, 8 lanes SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003eD-PHY 1.2 (up to 40Gbps)\u003cbr data-mce-fragment=\"1\"\u003eC-PHY 1.1 (up to 62Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e4x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e8x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e16x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e32x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e2x 8K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e6x 4K60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e12x 4K30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e26x 1080p60 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e52x 1080p30 (H.265)\u003cbr data-mce-fragment=\"1\"\u003e30x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eUPHY\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e8x PCIe Gen4 | 8x SLVS-EC\u003cbr data-mce-fragment=\"1\"\u003e3x USB 3.1\u003cbr data-mce-fragment=\"1\"\u003eSingle Lane UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eNetworking\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eDisplay\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eThree multi-mode DP 1.2a\/e DP 1.4\/HDMI 2.0 a\/b\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eOther I\/O\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003eUSB 2.0\u003cbr data-mce-fragment=\"1\"\u003eUART, SPI, CAN, I2C, I2S, DMIC \u0026amp; DSPK, GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003ePower\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e10W | 15W | 30W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr data-mce-fragment=\"1\"\u003e\n\u003ctd class=\"tableCLdata\" style=\"width: 106px;\" data-mce-fragment=\"1\"\u003eMechanical\u003c\/td\u003e\n\u003ctd class=\"tableCRdata\" style=\"width: 367.578px;\" data-mce-fragment=\"1\"\u003e100mm x 87mm\u003cbr data-mce-fragment=\"1\"\u003e699 pin Molex Mirror Mezz Connector\u003cbr data-mce-fragment=\"1\"\u003eIntegrated Thermal Transfer Plate\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":39794913149014,"sku":"SBC1104-32SOM","price":192199.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-module-1ccw-d.png?v=1630335369"},{"product_id":"nvidia-jetson-agx-xavier-industrial-32gb-som-online","title":"NVIDIA JETSON AGX ORIN INDUSTRIAL (64GB) - 900-13701-0080-000","description":"\u003cp\u003ehe NVIDIA® Jetson AGX Orin™ Industrial module delivers up to 248 TOPs of AI performance for embedded industrial applications with power configurable between 15W and 75W. It’s form-factor and pin-compatible with Jetson AGX Orin, and gives you more than 8X the performance of Jetson AGX Xavier Industrial.\u003c\/p\u003e\n\u003cp\u003eThis system-on-module supports multiple concurrent AI application pipelines with an NVIDIA Ampere architecture GPU, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. It comes with extended temperature range, operating lifetime, and shock and vibration specifications, as well as support for Error Correction Code (ECC) memory, making it ideal for industrial grade AI products. The module also includes security features such as hardware root of trust, secure boot, hardware accelerated cryptography, support for encrypted storage and memory, and other security features to protect your deployments.\u003c\/p\u003e\n\u003cp\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC™ catalog.\u003c\/p\u003e\n\u003cp\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003c\/p\u003e\n\u003cp\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.\u003cbr\u003e\u003c\/p\u003e\n\u003ch2\u003e\u003cspan\u003e \u003c\/span\u003e\u003c\/h2\u003e\n\u003ch2\u003e\u003cspan\u003eFeatures:\u003c\/span\u003e\u003c\/h2\u003e\n\u003ch4\u003e\n\u003cspan\u003eJetson AGX Orin Industrial Module (P3701)\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003e2048-core NVIDIA Ampere architecture GPU with 64tensor cores\u003c\/li\u003e\n\u003cli\u003e2x NVDLA v2.0 \u0026gt;12-core NVIDIA Arm Cortex A78AE v8.2 64-bit CPU\u003c\/li\u003e\n\u003cli\u003e64GB 256-bit LPDDR5 (+ECC)\u0026gt;PVA v2.0\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch4\u003e\n\u003cspan\u003ePower\u003c\/span\u003e\u003cbr\u003e\n\u003c\/h4\u003e\n\u003cul\u003e\n\u003cli\u003eVoltage input: 5V, 7V-20V\u003c\/li\u003e\n\u003cli\u003eModule Power: 15W-75W\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003eTechnical Specifications:\u003c\/h2\u003e\n\u003ctable style=\"width: 70%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e\n\u003cspan id=\"page1R_mcid104\" class=\"markedContent\"\u003e\u003cspan dir=\"ltr\" role=\"presentation\"\u003e275\u003c\/span\u003e\u003c\/span\u003e TOPS\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e2048 Core Ampere, with 64 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eGPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e1 .2GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e1 2-core NVIDIA Armo Cortex A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e2GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eDL Accelerator\u003c\/td\u003e\n\u003ctd\u003e2x NVDLA v2.o\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVision Accelerator\u003c\/td\u003e\n\u003ctd\u003ePVA v2.o\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e64GB 256-bit LPDDR5 @ 3200MHz 204.8GB\/s (+ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e64GB eMMC 5.1\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePCIe\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e2 x8 + 1 x4 + 2 x1\u003cbr\u003e22 lanes PCIe Gen 4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eCSI Camera\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e16 lanes MIPI CSI-2 (16 virtual channels)\u003cbr\u003eD-PHY 2.1 40Gbps\/ C-PHY 2.0 164Gbps\u003cbr\u003e\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e1x 4K60 | 3x 4K30 | 7x 1080p60 | 15x 1080p30 (H.265)\u003cbr\u003eH.264, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 | 3x 4K60 | 7x 4K30 | 11x 1080p60 | 23x 1080p30 (H.265) H.264, VP9, AV1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eDisplay\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1 multi-mode (8K60, 2x 4K60) DP1.4a (+ MST)\/HDMI2.1\/eDP 1.4\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eNetworking\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e1 Gbe | 1x 10GBE\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUSB\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 Gen 2 | 4x USB 2.0\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eOther IOS\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e4x UART 3x SPI | 4x I2S | 8x I2C | 2X CAN | PWM | DMIC | DSPK | GPIOs\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003ePower\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e15W-75W\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMechanical\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e100mm x 87mm\u003cbr\u003e699-pin connector\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003ctd\u003e\u003cbr\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eMechanical Shock\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e50G Operational\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eVibration\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e5G Operational\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e-40°C to 85°C at the TTP Surface\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature Endurance\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e-40°C to 85°C\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eTemperature Humidity Biased\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003e85°C\/85% RH\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eUnderfill\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003eSoC corner bonding \u0026amp; component underfill\u003cbr\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: right;\" width=\"33%\"\u003eECC\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd\u003eDRAM ECC supported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39522915319894,"sku":"SBC1104-MODi","price":389049.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/900-13701-0080-000-4T.jpg?v=1740878199"},{"product_id":"official-jetson-xavier-nx-heatsink-with-fan-online","title":"Official Jetson Xavier NX HeatSink with Fan","description":"\u003ch2\u003eJetson Xavier NX module HeatSink with Fan\u003c\/h2\u003e\n\u003cul style=\"text-align: center;\"\u003e\n\u003cli style=\"text-align: left;\"\u003eFully compatible with for Jetson Xavier NX module.\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eEffective heat management: all aluminum alloy radiator.\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003eEasy to assemble\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eColour: black\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"text-align: left;\"\u003e\n\u003cspan data-mce-fragment=\"1\"\u003eMaterial: aluminum alloy \u003c\/span\u003e\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eNote: Jetson XAVIER NX module is not included. \u003c\/p\u003e\n\u003ch3\u003ePackage Contents:\u003cbr data-mce-fragment=\"1\"\u003e\n\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003e1x Heat Sink  \u003c\/li\u003e\n\u003cli\u003e1x Stand \u003c\/li\u003e\n\u003cli\u003e4x Screw\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e \u003cbr data-mce-fragment=\"1\"\u003e\u003cspan data-mce-fragment=\"1\"\u003eNote: The measurement might have errors of  ±2cm.\u003c\/span\u003e\u003c\/p\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":39763994247254,"sku":"WVSH0359","price":1299.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/S2ab1824f26354ab882fb9ca09e0ac1b51.jpg?v=1647513697"},{"product_id":"nvidia-jetson-agx-orin-developer-kit-64gb","title":"NVIDIA Jetson AGX Orin Developer Kit (64GB)","description":"\u003cp\u003e \u003c\/p\u003e\n\u003cp\u003eThe NVIDIA® Jetson AGX Orin™ Developer Kit includes includes a high-performance, power-efficient Jetson AGX Orin module, and can emulate the other Jetson Orin modules. You now have up to 275 TOPS and 8X the performance of NVIDIA® Jetson AGX Xavier™ in the same compact form-factor for developing advanced robots and other autonomous machine products.\u003c\/p\u003e\n\u003cp\u003eSupported by NVIDIA JetPack™ and use-case specific software platforms including Isaac for robotics, and Metropolis for smart cities, this developer kit provides everything you need to get started right away.\u003c\/p\u003e\n\u003ch3 class=\"hdln--l\"\u003eDeveloper Kit Contents\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eJetson AGX Orin module with heat sink and reference carrier board \u003c\/li\u003e\n\u003cli\u003e802.11ac\/abgn wireless Network Interface Controller \u003c\/li\u003e\n\u003cli\u003eUSB-C power adapter and cord \u003c\/li\u003e\n\u003cli\u003eQuick Start and Support Guide\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"color: #ff2a00;\"\u003eNOTE: There is a 5 day lead time after order is placed.\u003c\/span\u003e\u003c\/li\u003e\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\"\u003eThe Tech Specs\u003c\/h3\u003e\n\u003cdiv class=\"row\"\u003e\n\u003cdiv class=\"col-md-3\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"col-md-6\"\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eJETSON AGX ORIN MODULE\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eGPU\u003c\/th\u003e\n\u003cth\u003eNVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and \u003cbr\u003e64 Tensor cores\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCPU\u003c\/th\u003e\n\u003cth\u003e12-core Arm Cortex-A78AE v8.2 64-bit CPU \u003cbr\u003e3MB L2 + 6MB L3\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDL Accelerator\u003c\/th\u003e\n\u003cth\u003e2x NVDLA v2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVision Accelerator\u003c\/th\u003e\n\u003cth\u003ePVA v2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eMemory\u003c\/th\u003e\n\u003cth\u003e64GB 256-bit LPDDR5 \u003cbr\u003e204.8 GB\/s\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eStorage\u003c\/th\u003e\n\u003cth\u003e64GB eMMC 5.1\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Encode\u003c\/th\u003e\n\u003cth\u003e2x 4K60 | 4x 4K30 | 8x 1080p60 | 16x 1080p30 (H.265)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eVideo Decode\u003c\/th\u003e\n\u003cth\u003e1x 8K30 | 3x 4K60 | 6x 4K30 | 12x 1080p60 | 24x 1080p30 (H.265)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"content-s\"\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/p\u003e\n\u003cbr\u003e\n\u003ctable class=\"table table-bordered\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth colspan=\"2\"\u003eREFERENCE CARRIER BOARD\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eCamera\u003c\/th\u003e\n\u003cth\u003e16 lane MIPI CSI-2 connector\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePCIe\u003c\/th\u003e\n\u003cth\u003ex16 PCIe slot supporting x8 PCIe Gen4\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eRJ45\u003c\/th\u003e\n\u003cth\u003eUp to 10 GbE\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eM.2 Key M\u003c\/th\u003e\n\u003cth\u003ex4 PCIe Gen 4\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eM.2 Key E\u003c\/th\u003e\n\u003cth\u003ex1 PCIe Gen 4, USB 2.0, UART, I2S\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Type-C\u003c\/th\u003e\n\u003cth\u003e2x USB 3.2 Gen2 with USB-PD support\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Type-A\u003c\/th\u003e\n\u003cth\u003e2x USB 3.2 Gen2, 2x USB 3.2 Gen1\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eUSB Micro-B\u003c\/th\u003e\n\u003cth\u003eUSB 2.0\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDisplayPort\u003c\/th\u003e\n\u003cth\u003eDisplayPort 1.4a (+MST)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003emicroSD slot\u003c\/th\u003e\n\u003cth\u003eUHS-1 cards up to SDR104 mode\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eOther\u003c\/th\u003e\n\u003cth\u003e40-pin header (I2C, GPIO, SPI, CAN, I2S, UART, DMIC) \u003cbr\u003e12-pin automation header \u003cbr\u003e10-pin audio panel header \u003cbr\u003e10-pin JTAG header \u003cbr\u003e4-pin fan header \u003cbr\u003e2-pin RTC battery backup connector \u003cbr\u003eDC power jack \u003cbr\u003ePower, Force Recovery, and Reset buttons\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDimensions\u003c\/th\u003e\n\u003cth\u003e110mm x 110mm x 71.65mm \u003cbr\u003e(Height includes feet, carrier board, module, and thermal solution)\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":39806068162646,"sku":"SBC1105-DEV","price":395999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/agx-drive-concord-2c50-P_2x_f70ef5ff-e87e-46c6-8c9f-2abfc3138002.png?v=1650646505"},{"product_id":"nvidia-jetson-agx-orin-som-32gb-online","title":"NVIDIA Jetson AGX Orin SOM","description":"\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\u003ch2\u003eNVIDIA® Jetson AGX Orin™ 32GB\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA Jetson AGX Orin 32GB module delivers up to 200 TOPS of AI performance with power configurable between 15W and 40W. This gives you more than 6X the performance of Jetson AGX Xavier in the same compact form-factor for robotics and other autonomous machine use cases.\u003cbr\u003e\u003cbr\u003eThis system-on-module supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.\u003cbr\u003e\u003cbr\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC™ catalog.\u003cbr\u003e\u003cbr\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003cbr\u003e\u003cbr\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.\u003c\/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv id=\"Pdp-specifications\" class=\"PartSpecifications ng-star-inserted\"\u003e\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eProduct Technical Specifications\u003c\/h2\u003e\n\u003ctable role=\"presentation\" class=\"PartSpecifications-list SimpleAccordion is-active\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"EU RoHS. Tooltip: Restriction of Hazardous Substances in electrical and electronic equipment\" class=\"ng-star-inserted\" tooltip=\"Restriction of Hazardous Substances in electrical and electronic equipment\"\u003e\u003cspan aria-hidden=\"true\"\u003eEU RoHS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\n\u003cstrong\u003eSupplier Unconfirmed \u003c\/strong\u003e\u003cspan aria-hidden=\"true\" class=\"Icon Icon--rohs ng-star-inserted\" title=\"EU RoHS Supplier Unconfirmed\"\u003e\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"ng-star-inserted\" tooltip=\"Export Control Classification Number\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (US)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Part Status. Tooltip: A product\/component is actively being produced and sold\" class=\"ng-star-inserted\" tooltip=\"A product\/component is actively being produced and sold\"\u003e\u003cspan aria-hidden=\"true\"\u003ePart Status\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eActive\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"ng-star-inserted\" tooltip=\"Harmonized Tariff Schedule code\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003eAutomotive\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eUnknown\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"ng-star-inserted\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eUnknown\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"Processor Type describes the type of manufacture that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"ng-star-inserted\" tooltip=\"Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Family\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"ng-star-inserted\" tooltip=\"Processor Number describes the processor part number of the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Number\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"ng-star-inserted\" tooltip=\"Processor Cores describes the cores category that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Speed (Hz). Tooltip: Processor Speed describes how many bits the processor can process in a second.\" class=\"ng-star-inserted\" tooltip=\"Processor Speed describes how many bits the processor can process in a second.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Speed (Hz)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2.2G\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Processor Thermal Design Power (W). Tooltip: Processor Thermal Design Power describes the maximum amount of power the cooling system in a computer is required to dissipate.\" class=\"ng-star-inserted\" tooltip=\"Processor Thermal Design Power describes the maximum amount of power the cooling system in a computer is required to dissipate.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Thermal Design Power (W)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15|30|40\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"ng-star-inserted\" tooltip=\"Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\"\u003e\u003cspan aria-hidden=\"true\"\u003eForm Factor\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCompact\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"ng-star-inserted\" tooltip=\"JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\"\u003e\u003cspan aria-hidden=\"true\"\u003eJTAG Support\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eYes\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Data Cache Size (B). Tooltip: Data Cache Size describes the program a personal computer's microprocessor uses to get the computer system started after you turn it on.\" class=\"ng-star-inserted\" tooltip=\"Data Cache Size describes the program a personal computer's microprocessor uses to get the computer system started after you turn it on.\"\u003e\u003cspan aria-hidden=\"true\"\u003eData Cache Size (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2M|4M\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"Number of System Memory describes the number of memories that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNumber of System Memory\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"ng-star-inserted\" tooltip=\"System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRAM Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Socket Type. Tooltip: System Memory Socket Type describes the socket type of the connector.\" class=\"ng-star-inserted\" tooltip=\"System Memory Socket Type describes the socket type of the connector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSystem Memory Socket Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDRAM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"ng-star-inserted\" tooltip=\"System Memory Maximum Size describes the maximum size of the memory that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSystem Memory Maximum Size (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e32G\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"System Memory Speed. Tooltip: System Memory Speed describes the rate at which the memory can receive data and send data to the processor.\" class=\"ng-star-inserted\" tooltip=\"System Memory Speed describes the rate at which the memory can receive data and send data to the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSystem Memory Speed\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3200MHz\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"ng-star-inserted\" tooltip=\"UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"ng-star-inserted\" tooltip=\"USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"ng-star-inserted\" tooltip=\"SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"ng-star-inserted\" tooltip=\"I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"ng-star-inserted\" tooltip=\"CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"ng-star-inserted\" tooltip=\"USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"ng-star-inserted\" tooltip=\"VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"ng-star-inserted\" tooltip=\"SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"ng-star-inserted\" tooltip=\"PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"ng-star-inserted\" tooltip=\"GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"ng-star-inserted\" tooltip=\"Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAudio Interfaces\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1@DMIC\/1@DSPK\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Video In. Tooltip: Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\" class=\"ng-star-inserted\" tooltip=\"Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVideo In\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eYes\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS485. Tooltip: RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\" class=\"ng-star-inserted\" tooltip=\"RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS232. Tooltip: RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\" class=\"ng-star-inserted\" tooltip=\"RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"RS422. Tooltip: RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\" class=\"ng-star-inserted\" tooltip=\"RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"PCI. Tooltip: PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\" class=\"ng-star-inserted\" tooltip=\"PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"AGP. Tooltip: AGP is an interface specification that enables 3D graphics to display quickly on ordinary personal computers. AGP is designed to convey 3D images much more quickly and smoothly than is possible today on any computer other than an expensive graphics workstation.\" class=\"ng-star-inserted\" tooltip=\"AGP is an interface specification that enables 3D graphics to display quickly on ordinary personal computers. AGP is designed to convey 3D images much more quickly and smoothly than is possible today on any computer other than an expensive graphics workstation.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Controller Type. Tooltip: Ethernet Controller Type describes the controller type (Manufacture and its Part Number) that is used for the local area network.\" class=\"ng-star-inserted\" tooltip=\"Ethernet Controller Type describes the controller type (Manufacture and its Part Number) that is used for the local area network.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEthernet Controller Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eRGMII\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet. Tooltip: Number of Ethernet Ports describes the number of Ethernet ports or RJ-45 the device supports.\" class=\"ng-star-inserted\" tooltip=\"Number of Ethernet Ports describes the number of Ethernet ports or RJ-45 the device supports.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEthernet\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Ethernet Speed. Tooltip: Ethernet Speed describes the data rate the network controller supports.\" class=\"ng-star-inserted\" tooltip=\"Ethernet Speed describes the data rate the network controller supports.\"\u003e\u003cspan aria-hidden=\"true\"\u003eEthernet Speed\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1000Mbps\/10000Mbps\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Type. Tooltip: Display Type describes type of display for device.\" class=\"ng-star-inserted\" tooltip=\"Display Type describes type of display for device.\"\u003e\u003cspan aria-hidden=\"true\"\u003eDisplay Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLCD\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Display Interface. Tooltip: Display Interface describes the boundary across which two independent systems meet and act on or communicate with each other.\" class=\"ng-star-inserted\" tooltip=\"Display Interface describes the boundary across which two independent systems meet and act on or communicate with each other.\"\u003e\u003cspan aria-hidden=\"true\"\u003eDisplay Interface\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Graphic Card Resolution (Pixels). Tooltip: Graphic Card Resolution describes the number of distinct pixels in each dimension that can be displayed.\" class=\"ng-star-inserted\" tooltip=\"Graphic Card Resolution describes the number of distinct pixels in each dimension that can be displayed.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGraphic Card Resolution (Pixels)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7680×4320@DP\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Operating Systems. Tooltip: Operating Systems describes the software program or set of programs that mediate access between physical devices (such as a keyboard, mouse, monitor, disk drive or network connection) and application programs (such as a word processor, World-Wide Web browser or electronic mail client).\" class=\"ng-star-inserted\" tooltip=\"Operating Systems describes the software program or set of programs that mediate access between physical devices (such as a keyboard, mouse, monitor, disk drive or network connection) and application programs (such as a word processor, World-Wide Web browser or electronic mail client).\"\u003e\u003cspan aria-hidden=\"true\"\u003eOperating Systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eJetPack SDK|Linux|RTOS\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Linux. Tooltip: Linux describes if the device supports Linux operating system or not and its supported versions.\" class=\"ng-star-inserted\" tooltip=\"Linux describes if the device supports Linux operating system or not and its supported versions.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Medical Application. Tooltip: Medical Application describes if the device can be used in medical application or not.\" class=\"ng-star-inserted\" tooltip=\"Medical Application describes if the device can be used in medical application or not.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMedical Application\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eYes\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Minimum Operating Supply Voltage (V). Tooltip: Minimum Operating Supply Voltage describes the minimum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\" class=\"ng-star-inserted\" tooltip=\"Minimum Operating Supply Voltage describes the minimum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMinimum Operating Supply Voltage (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e7\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Maximum Operating Supply Voltage (V). Tooltip: Maximum Operating Supply Voltage describes the maximum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\" class=\"ng-star-inserted\" tooltip=\"Maximum Operating Supply Voltage describes the maximum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMaximum Operating Supply Voltage (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan tabindex=\"0\" role=\"tooltip\" aria-label=\"Pinout Type. Tooltip: Pin Out Type describes the cross reference between the contacts, or pins, of an electrical connector or electronic component, and their functions.\" class=\"ng-star-inserted\" tooltip=\"Pin Out Type describes the cross reference between the contacts, or pins, of an electrical connector or electronic component, and their functions.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePinout Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp data-mce-fragment=\"1\"\u003e\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"32GB","offer_id":45232480452925,"sku":"SBC1052-32GB","price":228799.99,"currency_code":"INR","in_stock":false},{"title":"64GB","offer_id":45232480485693,"sku":"SBC1052-64GB","price":366149.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/products\/nvidia-jetson-agx-orin-module-front-2c50-p_2x_c3f78f88-30c0-4e5c-a36a-53b1b0e10488.jpg?v=1666799681"},{"product_id":"nvidia-jetson-orin-nano-developer-kit","title":"NVIDIA Jetson Orin Nano Super Developer Kit","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\u003eThe NVIDIA Jetson Orin Nano™ Super Developer Kit is a compact, yet powerful computer that redefines generative AI for small edge devices. It delivers up to 67 TOPS of AI performance—a 1.7X improvement over its predecessor—to seamlessly run the most popular generative AI models, like vision transformers, large language models, vision-language models, and more. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eNote: Limit of four units per customer account for R\u0026amp;D use only. Educational institutions are exempt from this restriction. Power Supply is included in the kit. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eFor larger quantity needs, \u003cspan style=\"text-decoration: underline; color: rgb(43, 0, 255);\"\u003e\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 are available.\u003c\/span\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\u003ctable style=\"width: 99.5588%;\" border=\"0\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e67 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eMemory Bandwidth\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e102 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eCPU Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e1.7 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e8GB 128-bit LPDDR5 @ 68 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003eSD Card Slot \u0026amp; external NVMe via M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center; width: 50.8804%;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 48.6613%;\"\u003e7W – 25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\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\u003ctbody\u003e\n\u003ctr style=\"height: 56.9205px;\"\u003e\n\u003ctd style=\"text-align: center; width: 99.3512%; height: 56.9205px;\" height=\"46\" width=\"935\" colspan=\"3\" class=\"et3\"\u003e\n\u003ch3\u003eJetson Orin Nano Super Developer Kit configuration\u003c\/h3\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 122.983px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 122.983px;\" height=\"123\" width=\"262\" class=\"et5\"\u003e \u003c\/td\u003e\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\u003ctd style=\"text-align: center; width: 36.4776%; height: 122.983px;\" width=\"320\" class=\"et6\"\u003e\u003cstrong\u003eNVIDIA Jetson Orin NanoSuper Developer Kit\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 273.949px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 273.949px;\" height=\"274\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 273.949px;\" width=\"351\" class=\"et5\"\u003e\n\u003cbr\u003eNVIDIA Ampere architecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e635 MHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 273.949px;\" width=\"320\" class=\"et5\"\u003e\n\u003cbr\u003eNVIDIA Ampere\u003cbr\u003earchitecture\u003cbr\u003e1,024 CUDA Cores\u003cbr\u003e32 Tensor Cores\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1,020MHz\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 180px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 180px;\" height=\"180\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003e\u003cstrong\u003eAI PERF\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 180px;\" width=\"351\" class=\"et5\"\u003e\n\u003cbr\u003e40 INT8 TOPS (Sparse)\u003cbr\u003e20 INT8 TOPS (Dense)\u003cbr\u003e10 FP16 TFLOPs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 180px;\" width=\"320\" class=\"et5\"\u003e\n\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e67 TOPS (Sparse)\u003cbr\u003e33 TOPS (Dense)\u003cbr\u003e17 FP16 TFLOPs\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 150.966px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 150.966px;\" height=\"151\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 150.966px;\" width=\"351\" class=\"et5\"\u003e6-core Arm Cortex-\u003cbr\u003eA78AE v8.264-bit CPU\u003cbr\u003e1.5 GHz\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 150.966px;\" width=\"320\" class=\"et5\"\u003e6-core Arm Cortex-\u003cbr\u003eA78AE v8.264-bit CPU\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e1.7 GHz\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 125px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 125px;\" height=\"125\" width=\"262\" class=\"et6\"\u003e\n\u003cbr\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 125px;\" width=\"351\" class=\"et5\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e68GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 36.4776%; height: 125px;\" width=\"320\" class=\"et5\"\u003e8GB 128-bit LPDDR5\u003cbr\u003e\u003cstrong\u003e\u003cspan class=\"font1\"\u003e102GB\/s\u003c\/span\u003e\u003c\/strong\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 47.9972px;\"\u003e\n\u003ctd style=\"text-align: center; width: 27.4957%; height: 47.9972px;\" height=\"48\" width=\"262\" class=\"et6\"\u003e\u003cstrong\u003eMODULE POWER\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 35.3778%; height: 47.9972px;\" width=\"351\" class=\"et5\"\u003e7W|15W\u003c\/td\u003e\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":44900111188285,"sku":"SBC1047","price":49999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-nano-super-developer-kit-og.jpg?v=1737536404"},{"product_id":"orin-nano-som","title":"NVIDIA Jetson Orin Nano Module","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eJetson Orin Nano\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eAdvanced AI Computer For Smaller, Lower-Power Autonomous Machines\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-1.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"alignl bgBlack pdTRBL\" style=\"text-align: left;\"\u003eN-VIDIA® Jetson Orin™ Nano is available in 4GB and 8GB versions, up to 20 TOPS\/40 TOPS and 40\/80X the performance of the last generation for multiple concurrent AI inference pipelines. Also with high-speed interface support for multiple sensors, it is an ideal solution for a new age of robotics.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eProduct Features\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-Nano\/Jetson-Orin-Nano-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"bgGrey alignl mgnTB\"\u003e\n\u003cp style=\"text-align: left;\"\u003eThe 8GB version of the Jetson Orin Nano series delivers up to 40 TOPS of AI performance in a compact and small form factor, with power options between 7W and 15W, up to 80X the performance of N-VIDIA Jetson Nano, setting a new standard for entry-level edge AI.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle hilitColor\"\u003eJetson Orin Nano Specification\u003c\/div\u003e\n\u003ctable class=\"tabSty-2 subBlock alignc mgnTB\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eMODULE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003e4GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e\u003cstrong class=\"hilitColor\"\u003e8GB\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVERSION\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e4GB Jetson Orin Nano Module\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e8GB Jetson Orin Nano Module\u003c\/td\u003e\n\u003ctd\u003e\u003ca href=\"https:\/\/thinkrobotics.com\/products\/nvidia%C2%AE-jetson-orin%E2%84%A2-nano-developer-kit\" target=\"_blank\"\u003eOfficial Kit\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eAI PERFORMANCE\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e20TOPS\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e40TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eGPU\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e512-core N-VIDIA Ampere architecture GPU with 16 Tensor Cores\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e1024-core N-VIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eGPU FREQUENCY\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e625MHz (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCPU\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e6-core Arm® Cortex®-A78AE v8.2 64-bit CPU, 1.5MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCPU FREQUENCY\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e1.5GHz (Max)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eMEMORY\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e4GB 64-bit LPDDR5, 32GB\/s\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e8GB 128-bit LPDDR5, 68GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eSTORAGE\u003c\/th\u003e\n\u003ctd\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe Solid State Drive\u003c\/td\u003e\n\u003ctd\u003eSupports external NVMe\u003c\/td\u003e\n\u003ctd\u003e128GB NVMe Solid State Drive\u003c\/td\u003e\n\u003ctd\u003eTF card slot \u0026amp; external NVMe via M.2 Key M\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003ePOWER\u003c\/th\u003e\n\u003ctd colspan=\"2\"\u003e7W ~ 10W\u003c\/td\u003e\n\u003ctd colspan=\"3\"\u003e7W ~ 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003ePCIE*\u003c\/th\u003e\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 3.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\u003ctd\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\u003ctd\u003e1 x4 + 3 x1 (PCIe 4.0, Root Port \u0026amp; Endpoint)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eM.2 Key E\/\u003cbr\u003eM.2 Key M (PCIe Gen3 x4)\/ M.2 Key M (PCIe Gen3 x2)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eUSB*\u003c\/th\u003e\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\u003ctd\u003eUSB Type-A: 4x USB 3.2 Gen2\/ USB Type-C (UFP)\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 2.0 (10 Gbps)\u003cbr\u003e3x USB 2.0\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003eUSB Type-A: 4x USB 3.2 Gen2\/\u003cbr\u003eUSB Type-C (UFP)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eCSI CAMERA\u003c\/th\u003e\n\u003ctd\u003eUp to 4 cameras (8 via virtual channels**)\/\u003cbr\u003e8 lanes MIPI CSI-2\/ D-PHY 1.2 (up to 20 Gbps)\u003c\/td\u003e\n\u003ctd\u003e2x MIPI CSI-2 Camera Connector\u003c\/td\u003e\n\u003ctd\u003eUp to 4 cameras (8 via virtual channels**)\/\u003cbr\u003e8 lanes MIPI CSI-2\/ D-PHY 1.2 (up to 20 Gbps)\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e2x MIPI CSI-2 Camera Connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVIDEO ENCODE\u003c\/th\u003e\n\u003ctd colspan=\"5\"\u003e1080p30 supported by 1-2 CPU cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eVIDEO DECODE\u003c\/th\u003e\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\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eDISPLAY\u003c\/th\u003e\n\u003ctd\u003e1x 8K30 multi-mode DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\u003ctd\u003e1x DisplayPort 1.2 (+MST) connector\u003c\/td\u003e\n\u003ctd\u003e1x 8K30 multi-mode DP 1.4a (+MST)\/\u003cbr\u003eeDP 1.4a\/HDMI 2.1\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x DisplayPort 1.2 (+MST) connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eOTHER\u003c\/th\u003e\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\u003ctd\u003e40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack\u003c\/td\u003e\n\u003ctd\u003e3x UART, 2x SPI, 2x I2S, 4x I2C, 1x CAN, DMIC \u0026amp; DSPK, PWM, GPIO\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e40-Pin Expansion Header(UART, SPI, I2S, I2C, GPIO), 12-pin button header, 4-pin fan header, TF card slot, DC power jack\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eNETWORKING\u003c\/th\u003e\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\u003ctd\u003e1x GbE Connector\u003c\/td\u003e\n\u003ctd\u003e1x GbE\u003c\/td\u003e\n\u003ctd colspan=\"2\"\u003e1x GbE Connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth class=\"hilitColor\"\u003eDIMENSIONS\u003c\/th\u003e\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\u003ctd\u003e69.6 mm x 45 mm\u003cbr\u003e260-pin SO-DIMM connector\u003c\/td\u003e\n\u003ctd\u003e103 × 90.5 × 34mm\u003c\/td\u003e\n\u003ctd\u003e100 mm x 79 mmx 21 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd class=\"alignl\" colspan=\"6\"\u003e* USB 3.2, MGBE, and PCIe share UPHY Lanes. See the Product Design Guide for supported UPHY configurations.\u003cbr\u003e** Virtual Channels for Jetson Orin Nano are subject to change\u003cbr\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ctable style=\"width: 90%; margin: auto; background-color: black;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"6\"\u003e\n\u003ch2 style=\"text-align: center; color: white;\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: center; color: white;\"\u003eProfessional Application Software And Models\u003c\/h2\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-1.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003eN-VIDIA Software\u003c\/strong\u003e\u003cbr\u003eAll N-VIDIA Jetson modules and developer kits are supported by the same N-VIDIA Jetson software stack, so you can develop once and deploy everywhere. Jetson software is designed to provide end-to-end acceleration for AI applications and accelerate the time to market. This brings the powerful N-VIDIA technologies that power data centers and cloud deployments to the edge.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle;\" colspan=\"3\"\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-5-2.jpg\"\u003e\n\u003cp style=\"color: white;\"\u003e\u003cstrong\u003ePretrained Models\u003c\/strong\u003e\u003cbr\u003eMany AI applications have common needs: classification, object detection, language translation, text-to-speech, recommender engines, sentiment analysis, and more. Pretrained models from the NGC™ catalog are performance-optimized and ready to be fine-tuned with the N-VIDIA TAO Toolkit and customer datasets, reducing time and cost for production AI software development.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"6\"\u003e\n\u003ch2 style=\"color: white;\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"color: white;\"\u003eN-VIDIA Platforms For Robotics, AI Speech, And Smart Cities\u003c\/h2\u003e\n\u003cp class=\"richDesc\"\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Software Platforms Including Isaac For Robotics, Riva For AI Speech, And Metropolis For Video Analytics, Are Available To Speed Vertical-Specific Applications\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-1.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Isaac\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eRobots improve efficiency and quality of life in industries such as manufacturing, logistics, healthcare, and service. N-VIDIA Isaac™ accelerates the process with enhanced robotics development, simulation, and deployment.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-2.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Riva\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Riva is a fully accelerated SDK for building multimodal conversational AI applications using an end-to-end deep-learning pipeline, suitable for optimized skills in speech, vision, and natural language processing (NLP) tasks.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: middle; width: 120px;\" colspan=\"2\"\u003e\n\u003cspan style=\"color: #ffffff;\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Orin-NX\/Jetson-Orin-NX-details-7-3.jpg\"\u003e\u003c\/span\u003e\n\u003cp style=\"color: white;\"\u003e\u003cspan style=\"color: #ffffff;\"\u003e\u003cstrong\u003eN-VIDIA Metropolis\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003e\u003cspan style=\"color: #ffffff;\"\u003eN-VIDIA Metropolis includes an application framework, s set of developer tools, and the partner ecosystem. It brings visual data and AI together to improve operational efficiency and safety across a broad range of industries.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"4GB","offer_id":45187884286269,"sku":"SBC1052-4GB","price":45649.99,"currency_code":"INR","in_stock":false},{"title":"8GB","offer_id":45187884319037,"sku":"SBC1052-8GB","price":51399.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson_orin_nano.png?v=1684145605"},{"product_id":"nvidia-jetson-orin-nx-module","title":"NVIDIA Jetson Orin NX Module","description":"\u003cmeta charset=\"UTF-8\"\u003e\n\u003cdiv class=\"rt u-gutter-marginBottom ng-star-inserted\"\u003e\n\u003ch2\u003eNVIDIA® Jetson Orin™ NX 16GB\u003c\/h2\u003e\n\u003cp\u003eThe NVIDIA Jetson Orin NX 16GB module delivers up to 100 TOPS of AI performance in the smallest Jetson form-factor, with power configurable between 10W and 25W. This gives you 3X the performance of NVIDIA® Jetson AGX Xavier™ and 5X the performance of NVIDIA® Jetson Xavier™ NX, making it ideal for small form-factor, low-power products like drones and handheld devices.\u003c\/p\u003e\n\u003cp\u003eThis system-on-module supports multiple concurrent AI application pipelines with the NVIDIA Ampere GPU architecture, next-generation deep learning and vision accelerators, high-speed IO, and fast memory bandwidth. Now you can develop solutions using your largest and most complex AI models to solve problems such as natural language understanding, 3D perception, and multi-sensor fusion.\u003c\/p\u003e\n\u003cp\u003eJetson runs the NVIDIA AI software stack, and use-case specific application frameworks are available, including Isaac™ for robotics, DeepStream for vision AI, and Riva for conversational AI. You can save significant time with NVIDIA Omniverse Replicator for synthetic data generation (SDG), and by using NVIDIA TAO toolkit to fine-tune pretrained AI models from the NGC™ catalog.\u003c\/p\u003e\n\u003cp\u003eJetson ecosystem partners offer additional AI and system software, developer tools, and custom software development. They can also help with cameras and other sensors, as well as carrier boards and design services for your product.\u003c\/p\u003e\n\u003cp\u003eJetson Orin modules are unmatched in performance and efficiency for robots and other autonomous machines, and they give you the flexibility to create the next generation of AI solutions with the latest NVIDIA GPU technology. Together with the world-standard NVIDIA AI software stack and an ecosystem of services and products, your road to market has never been faster.\u003c\/p\u003e\n\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"PartSpecifications ng-star-inserted\" id=\"Pdp-specifications\"\u003e\n\u003ch2 class=\"PartSpecifications-heading ng-star-inserted\"\u003eProduct Technical Specifications\u003c\/h2\u003e\n\u003ctable class=\"PartSpecifications-list SimpleAccordion is-active\" role=\"presentation\"\u003e\n\u003ctbody\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"ECCN (US). Tooltip: Export Control Classification Number\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Export Control Classification Number\"\u003e\u003cspan aria-hidden=\"true\"\u003eECCN (US)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5A992c.\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"HTS. Tooltip: Harmonized Tariff Schedule code\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Harmonized Tariff Schedule code\"\u003e\u003cspan aria-hidden=\"true\"\u003eHTS\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8473.30.11.80\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003eAutomotive\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eUnknown\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan class=\"focusClass ng-star-inserted\" tabindex=\"0\"\u003ePPAP\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eUnknown\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Type. Tooltip: Processor Type describes the type of manufacture that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Type describes the type of manufacture that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Family. Tooltip: Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Family describes the group of processors that the processor belongs to, which has a specific common features and applications.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Family\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eCortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Number. Tooltip: Processor Number describes the processor part number of the processor.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Number describes the processor part number of the processor.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Number\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eARM Cortex-A78AE v8.2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Processor Cores. Tooltip: Processor Cores describes the cores category that the processor belongs to.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Processor Cores describes the cores category that the processor belongs to.\"\u003e\u003cspan aria-hidden=\"true\"\u003eProcessor Cores\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e8 Core\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Form Factor. Tooltip: Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Form Factor describes the size, configuration, or physical arrangement of a computer hardware object.\"\u003e\u003cspan aria-hidden=\"true\"\u003eForm Factor\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSmall\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"JTAG Support. Tooltip: JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"JTAG Support describes the IEEE standard for boundary scan technology. A   standard specifying how to control and monitor the pins of   compliant devices on a printed circuit board.\"\u003e\u003cspan aria-hidden=\"true\"\u003eJTAG Support\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eNo\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Number of System Memory. Tooltip: Number of System Memory describes the number of memories that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Number of System Memory describes the number of memories that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eNumber of System Memory\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RAM Type. Tooltip: System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"System Memory Type describes a form of computer data storage. A random-access device allows stored data to be accessed in very nearly the same amount of time for any storage location, so data can be accessed quickly in any random order.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRAM Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLPDDR5\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"System Memory Maximum Size (B). Tooltip: System Memory Maximum Size describes the maximum size of the memory that the system supports it.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"System Memory Maximum Size describes the maximum size of the memory that the system supports it.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSystem Memory Maximum Size (B)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e16G\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"UART. Tooltip: UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"UART is an interface that converts parallel bytes from the CPU into serial bits for transmission, and vice versa.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e3\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USART. Tooltip: USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USART is a universal synchronous\/asynchronous receiver\/transmitter is a UART that can also communicate synchronously.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSART\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SPI. Tooltip: SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SPI is a full-duplex synchronous serial interface for connecting low-\/medium-bandwidth external devices using four wires.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSPI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e2\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"I2C. Tooltip: I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"I2C is a bi-directional two-wire serial bus that provides a communication link between integrated circuits (ICs).\"\u003e\u003cspan aria-hidden=\"true\"\u003eI2C\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e4\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"CAN. Tooltip: CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"CAN describes the Controller Area Network (CAN) protocol is a serial communication protocol originally developed by Robert Bosch for use in serial communication networks in vehicles.\"\u003e\u003cspan aria-hidden=\"true\"\u003eCAN\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"USB. Tooltip: USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"USB is Universal Serial Port which is a plug-and-play interface between a computer and add-on devices, such as media players, keyboards, telephones, digital cameras, scanners, flash drives, joysticks and printers.It supports hot-swapping, which means that a new device can be added to your computer without having to add an adapter card or even having to turn the computer off.\"\u003e\u003cspan aria-hidden=\"true\"\u003eUSB\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e6\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"VGA. Tooltip: VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"VGA is a 15-pin D-subminiature set of male and female electrical connectors that relays data from a computer to an output device.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVGA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"SATA. Tooltip: SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"SATA is a standard hardware interface for connecting hard drives and CD\/DVD drives to a computer. SATA is the serial version of the earlier Parallel ATA (PATA) interface.\"\u003e\u003cspan aria-hidden=\"true\"\u003eSATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PATA. Tooltip: PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PATA is the original IDE hard drive technology that uses a parallel data channel from the motherboard to the disk drives.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePATA\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"GPIO. Tooltip: GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"GPIO is a generic interface whose behavior (including whether it is an input or output pin) can be controlled (programmed) by the user at run time.\"\u003e\u003cspan aria-hidden=\"true\"\u003eGPIO\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e15\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Audio Interfaces. Tooltip: Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Audio Interfaces are interfaces take all the various audio inputs and convert them into digital audio data.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAudio Interfaces\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e1\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Video In. Tooltip: Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Video In is a graphics port which enables video cards to have an input analog video transfer through a mini-DIN connector.\"\u003e\u003cspan aria-hidden=\"true\"\u003eVideo In\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eYes\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS485. Tooltip: RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS485 is an Electronics Industry Alliance (EIA) standard for multipoint communications. It supports several types of connectors, including DB-9 and DB-37. RS-485 is similar to RS-422 but can support more nodes per line because it uses lower-impedance drivers and receivers.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS485\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS232. Tooltip: RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS232 is a TIA\/EIA standard for serial transmission between computers and peripheral devices (modem, mouse, etc.). Using a 25-pin DB-25 or 9-pin DB-9 connector, its normal cable limitation of 50 feet can be extended to several hundred feet with high-quality cable.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS232\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"RS422. Tooltip: RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"RS422 is a TIA\/EIA standard for serial interfaces that extends distances and speeds beyond RS-232. RS-422 is a balanced system requiring more wire pairs than its RS-423 counterpart and is intended for use in multipoint lines. Both use either a 37-pin connector defined by RS-449 or a 25-pin connector defined by RS-530.\"\u003e\u003cspan aria-hidden=\"true\"\u003eRS422\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"PCI. Tooltip: PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"PCI is an interconnection system between a microprocessor and attached devices in which expansion slots are spaced closely for high speed operation.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePCI\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"AGP. Tooltip: AGP is an interface specification that enables 3D graphics to display quickly on ordinary personal computers. AGP is designed to convey 3D images much more quickly and smoothly than is possible today on any computer other than an expensive graphics workstation.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"AGP is an interface specification that enables 3D graphics to display quickly on ordinary personal computers. AGP is designed to convey 3D images much more quickly and smoothly than is possible today on any computer other than an expensive graphics workstation.\"\u003e\u003cspan aria-hidden=\"true\"\u003eAGP\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e0\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Display Interface. Tooltip: Display Interface describes the boundary across which two independent systems meet and act on or communicate with each other.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Display Interface describes the boundary across which two independent systems meet and act on or communicate with each other.\"\u003e\u003cspan aria-hidden=\"true\"\u003eDisplay Interface\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eDP|eDP|HDMI\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Operating Systems. Tooltip: Operating Systems describes the software program or set of programs that mediate access between physical devices (such as a keyboard, mouse, monitor, disk drive or network connection) and application programs (such as a word processor, World-Wide Web browser or electronic mail client).\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Operating Systems describes the software program or set of programs that mediate access between physical devices (such as a keyboard, mouse, monitor, disk drive or network connection) and application programs (such as a word processor, World-Wide Web browser or electronic mail client).\"\u003e\u003cspan aria-hidden=\"true\"\u003eOperating Systems\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Linux. Tooltip: Linux describes if the device supports Linux operating system or not and its supported versions.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Linux describes if the device supports Linux operating system or not and its supported versions.\"\u003e\u003cspan aria-hidden=\"true\"\u003eLinux\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eLinux\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Medical Application. Tooltip: Medical Application describes if the device can be used in medical application or not.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Medical Application describes if the device can be used in medical application or not.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMedical Application\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eNo\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Minimum Operating Supply Voltage (V). Tooltip: Minimum Operating Supply Voltage describes the minimum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Minimum Operating Supply Voltage describes the minimum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMinimum Operating Supply Voltage (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e5\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Maximum Operating Supply Voltage (V). Tooltip: Maximum Operating Supply Voltage describes the maximum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Maximum Operating Supply Voltage describes the maximum supply voltage at which a device is specified to operate in compliance with the applicable device specification.\"\u003e\u003cspan aria-hidden=\"true\"\u003eMaximum Operating Supply Voltage (V)\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003e20\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr class=\"row is-simplified ng-star-inserted\"\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cspan aria-label=\"Pinout Type. Tooltip: Pin Out Type describes the cross reference between the contacts, or pins, of an electrical connector or electronic component, and their functions.\" class=\"focusClass ng-star-inserted\" role=\"tooltip\" tabindex=\"0\" tooltip=\"Pin Out Type describes the cross reference between the contacts, or pins, of an electrical connector or electronic component, and their functions.\"\u003e\u003cspan aria-hidden=\"true\"\u003ePinout Type\u003c\/span\u003e\u003c\/span\u003e\u003c\/td\u003e\n\u003ctd class=\"col-sm-6 text-wrap\"\u003e\u003cstrong\u003eSOM\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB Module \/ 900-13767-0010-000","offer_id":45188133060925,"sku":"SBC1053-8GB","price":83449.99,"currency_code":"INR","in_stock":true},{"title":"16GB Module \/ 900-13767-0000-000","offer_id":45188133093693,"sku":"SBC1053-16GB","price":123999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/orin_NX_front_module_3dac1c23-03b5-40d4-a7f0-2422127a0f96.jpg?v=1684149669"},{"product_id":"orin-poe","title":"PoE Expansion Board For NVIDIA Jetson Orin","description":"\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch1 class=\"richTitle\" style=\"text-align: center;\"\u003eJetson Orin PoE Module\u003c\/h1\u003e\n\u003ch3 class=\"richDesc hilitBlock2 round1234\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003eMini Body, More Space-Saving\u003c\/span\u003e\u003c\/h3\u003e\n\u003cspan\u003e \u003c\/span\u003e\u003cimg style=\"margin-bottom: 16px; float: none;\" alt=\"Jetson Orin PoE Module, front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-1.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\u003cp\u003eThe\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eJETSON-ORIN-POE-MODULE\u003c\/strong\u003e\u003cspan\u003e \u003c\/span\u003eis a mini 802.3af-compliant Power Over Ethernet accessory for the\u003cspan\u003e \u003c\/span\u003e\u003cstrong\u003eNVIDIA Jetson Orin Nano\/NX\u003c\/strong\u003e. By using this small module and some proper 802.3af-compliant power sourcing equipments, it is possible to provide both network connection and power supply for your Orin board in only one Ethernet cable.\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSuitable for Jetson Orin Nano \/ Jetson Orin NX\u003c\/li\u003e\n\u003cli\u003ePoE (Power Over Ethernet) capability, IEEE 802.3af\/at-compliant\u003c\/li\u003e\n\u003cli\u003eFully isolated switched-mode power supply (SMPS)\u003c\/li\u003e\n\u003cli\u003eSmaller and more flexible with a more compact component layout\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv\u003e\n\u003ch2 class=\"richTitle\"\u003eSpecifications\u003c\/h2\u003e\n\u003ctable class=\"tabSty-2 mgnTB alignl\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth\u003ePOE POWER INPUT\u003c\/th\u003e\n\u003ctd\u003e37V ~ 57V DC in \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003ePOWER OUTPUT\u003c\/th\u003e\n\u003ctd\u003e12V 2.1A DC out \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eNETWORK STANDARD\u003c\/th\u003e\n\u003ctd\u003esupports IEEE 802.3af\/at PoE \u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth\u003eDIMENSIONS\u003c\/th\u003e\n\u003ctd\u003e21 × 92mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSuitable For Jetson Boards\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003eSuitable For Jetson Orin Nano \/ Jetson Orin NX\u003c\/p\u003e\n\u003cimg alt=\"Jetson Orin PoE Module, suitable for Jetson Orin Nano \/ Jetson Orin NX\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-3.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cp class=\"note\" style=\"text-align: left;\"\u003e\u003cem\u003eNote: the PoE pin header of Orin Nano\/NX baseboard needs to be pre-soldered before connecting the PoE module.\u003c\/em\u003e\u003c\/p\u003e\n\u003cdiv\u003e \u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePower Over Ethernet\u003c\/h2\u003e\n\u003ch4 class=\"richDesc\" style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003eProviding Both Network Connection And Power Supply For Your Jetson Orin In One Cable\u003c\/span\u003e\u003c\/h4\u003e\n\u003cimg alt=\"Jetson Orin PoE Module, conection demo\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-5.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003e* for reference only, the Jetson Orin Nano board and Switch are NOT included.\u003c\/em\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eWhat's Onboard\u003c\/h2\u003e\n\u003cimg alt=\"Jetson Orin PoE Module, onboard components\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-7.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003cdiv class=\"msg msg_warning\"\u003e\u003cem\u003eNote: since the PoE board is small and the temperature of transformer will be high when working, please do not touch the transformer and consider adding extra cooling solution when using this module.\u003c\/em\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"Jetson Orin PoE Module, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-size.jpg\" style=\"margin-bottom: 16px; float: none;\"\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\"\u003e \u003c\/h2\u003e\n\u003ch2 class=\"richTitle\"\u003eResources\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWiki:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-ORIN-POE-MODULE\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003ePackage Contains:\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eWeight:\u003cspan\u003e \u003c\/span\u003e\u003c\/strong\u003e\u003cspan\u003e0.014 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col\u003e\n\u003cli\u003eJETSON-ORIN-POE-MODULE x1\u003c\/li\u003e\n\u003cli\u003e40PIN male pinheader x1\u003c\/li\u003e\n\u003cli\u003eScrews pack x1\u003c\/li\u003e\n\u003cli\u003eMini cross wrench sleeve x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/JETSON-ORIN-POE-MODULE\/JETSON-ORIN-POE-MODULE-details-pack.jpg\" alt=\"JETSON-ORIN-POE-MODULE\"\u003e\n\u003c\/div\u003e\n\u003c!----\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":48968202387773,"sku":"WVSH0461","price":1499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-poe-module-1.jpg?v=1718675728"},{"product_id":"agx-orin-32gb-h01","title":"Jetson AGX Orin 32GB H01 Kit with Jetson AGX Orin 32GB Module, 200 TOPs","description":"\u003cdiv class=\"relative\" id=\"product_info_970a857b53932\"\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"document\"\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\"\u003eJetson AGX Orin 32GB H01 Kit is a powerful and compact intelligent kit to bring up to \u003cstrong\u003e200 TOPS\u003c\/strong\u003emodern AI performance to the edge, which offers up to \u003cstrong\u003e10X the performance of Jetson Xavier NX\u003c\/strong\u003e and up to \u003cstrong\u003e6X the performance of Jetson AGX Xavier\u003c\/strong\u003e. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, AGX Orin integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\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\"\u003eThe full system includes one Jetson AGX Orin™ production module, a heatsink with a cooling fan, a case and a power adapter, while being the an alternative option for the Jetson AGX Orin Dev Kit. It has a carrier board including PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, 40-Pin header, Jetson AGX Orin 32GB H01 Kit is preinstalled with Jetpack 5.0.2, 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\u003c\/div\u003e\n\u003c\/div\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\"\u003eFeatures\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cul\u003e\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\u003cstrong\u003eBrilliant AI Performance for production: \u003c\/strong\u003eon-device processing with up to 200 TOPS AI performance with low power and low latency.\u003c\/li\u003e\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\u003cstrong\u003eHand-size edge AI device:\u003c\/strong\u003e compact size at 107mm x 106.4mm x 70.5mm, includes Jetson AGX Orin™ production module, a heatsink with a cooling fan, enclosure, and a power adapter.\u003c\/li\u003e\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\u003cstrong\u003eExpandable with rich I\/Os:\u003c\/strong\u003e PCIe X16, GbE, 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, 40-Pin header.\u003c\/li\u003e\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\u003cstrong\u003eAccelerate solution to market:\u003c\/strong\u003e pre-installed JetPack 5.0.2, Linux OS BSP, support Jetson software and leading AI frameworks and software platforms.\u003c\/li\u003e\n\u003c\/ul\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\"\u003e \u003c\/h2\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\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\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\"\u003eWith rich extension modules, industrial peripherals, and thermal management, Jetson AGX Orin 32GB H01 Kit is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp style=\"text-align: left;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eAt Seeed Studio, you will find everything you want to work with the NVIDIA Jetson Platform – official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, edge devices, as well as accessories.\u003c\/p\u003e\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\"\u003eWe have prepared abundent \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\" target=\"_blank\"\u003eguides \u003c\/a\u003eto get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca rel=\"noopener\" 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 AGX Orin.\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 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\"\u003eDeveloper Tools\u003c\/h2\u003e\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\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\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\"\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 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\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\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\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003cul style=\"text-align: left;\"\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" target=\"_blank\"\u003eNVIDIA DeepStream SDK\u003c\/a\u003e delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" target=\"_blank\"\u003eNVIDIA TAO tool kit\u003c\/a\u003e, built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" target=\"_blank\"\u003ealwaysAI\u003c\/a\u003e: build, train, and deploy computer vision applications directly at the edge of reComputer. Get free access to 100+ pre-trained Computer Vision Models and train custom AI models in the cloud in a few clicks via enterprise subscription. Check out our \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 guide to get started with alwaysAI.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/www.edgeimpulse.com\/\" target=\"_blank\"\u003eEdge Impulse\u003c\/a\u003e: the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" target=\"_blank\"\u003eRoboflow\u003c\/a\u003e provides tools to convert raw images into a custom-trained computer vision model of object detection and classification and deploy the model for use in applications. See the \u003ca rel=\"noopener\" href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" target=\"_blank\"\u003efull documentation\u003c\/a\u003e for deploying to NVIDIA Jetson with Roboflow.\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/github.com\/ultralytics\/yolov5\" target=\"_blank\"\u003eYOLOv5 by Ultralytics\u003c\/a\u003e: use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step \u003ca rel=\"noopener\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003ewiki \u003c\/a\u003etutorials\u003c\/li\u003e\n\u003cli dir=\"ltr\"\u003e\n\u003ca rel=\"noopener\" href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" target=\"_blank\"\u003eDeci\u003c\/a\u003e: optimize your models on NVIDIA Jetson Nano. Check the \u003ca rel=\"noopener\" href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" target=\"_blank\"\u003ewebinar\u003c\/a\u003e at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices\u003c\/li\u003e\n\u003c\/ul\u003e\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\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cul style=\"text-align: left;\"\u003e\n\u003cli\u003e\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 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\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3 style=\"text-align: left;\" class=\"document\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp style=\"text-align: left;\" dir=\"ltr\"\u003eEnable secure OTA and remote device management with \u003ca rel=\"noopener\" 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\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\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003cul\u003e\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 are hardware-accelerated packages that make it easier for ROS developers to build high-performance solutions on NVIDIA hardware. Learn more about \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\"\u003eNVIDIA Developer Tools\u003c\/a\u003e\n\u003c\/li\u003e\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\u003ca href=\"https:\/\/www.cogniteam.com\/nimbus\"\u003eCogniteam Nimbus\u003c\/a\u003e is a cloud-based solution that allows developers to manage autonomous robots more effectively. Nimbus platform supports NVIDIA® Jetson™ and ISAAC SDK and GEMs out-of-the-box. Check out our \u003ca href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/21\/webinar-connect-your-ros-project-to-the-cloud-with-nimbus\/\"\u003ewebinar\u003c\/a\u003e on connecting your ROS Project to the Cloud with Nimbus.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\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\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\"\u003eComparison among Jetson AGX Orin 32GB H01 Kit and AGX Orin Developer Kit\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\" cellpadding=\"1\"\u003e\n\u003ccolgroup\u003e \u003ccol width=\"117px\"\u003e \u003ccol width=\"227px\"\u003e \u003ccol width=\"250px\"\u003e \u003c\/colgroup\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003eSpecifications\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAI Performance\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003e1792-core NVIDIA Ampere GPU with 56 Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eNVIDIA Ampere architecture with 2048 NVIDIA® CUDA® cores and 64 Tensor Cores\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003e8-core NVIDIA Arm® Cortex A78AE v8.2 64-bit CPU 2MB L2 + 4MB L3\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e12-core Arm® Cortex®-A78AE v8.2 64-bit CPU 3MB L2 + 6MB L3\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eMemory\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\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 256-bit LPDDR5 204.8 GB\/s\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDL Accelerator\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVision Accelerator\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eStorage\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVideo Encoder\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eVideo Decoder\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eDisplay\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eCamera\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 16 lane MIPI CSI-2 connector\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eNetworking\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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 Type-A (Integrated USB 2.0), 1x USB 3.2 Type-C (Integrated USB 2.0)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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 Type-Cwith USB-PD support\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\"\u003e4x USB 3.2 Gen2 Type-A\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\"\u003eUSB 2.0 Micro-B\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\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\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\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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 (pre-installed WIFI+BT：8265.NGWMG.NV 949399)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eFan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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* 4-pin fan (5V PWM)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1* 4-pin fan\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003emicroSD card slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e1 * microSD card slot\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eAudio Jack\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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* 3.5mm audio jack\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"477\" valign=\"\" align=\"\" colspan=\"2\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e2-pin RTC\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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(3P 1.5mm pitch)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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(3P 1.5mm pitch)\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eOthers\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003e40-pin header, 1* SPI Bus(+3.3V Level), 6* GPIO(+3.3V Level), 1x CAN, Force Recovery, Reset and Power ON\/ OFF buttons, 12V\/2A 2-pin power output \u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e40-pin header, 12-pin automation header, 10-pin audio panel header, 10-pin JTAG header, Force Recovery, and Reset buttons\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003ePower Supply\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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+9---+20V DC Input @ 8A\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e19V via USB Type-C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eMechanical\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd width=\"117\" valign=\"\" align=\"\"\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\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eOperating Temperature\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"227\" valign=\"\" align=\"\"\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\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 to +70 ⁰C\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd width=\"250\" valign=\"\" align=\"\"\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\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 to 35 ⁰C\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\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\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\"\u003eInterface-rich reference carrier board\u003c\/h3\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\"\u003eJetson AGX Orin 32GB H01 Kit is a high-performance, interface-rich kit, providing PCIe X16, 1x 1GbE, 1x 10GbE, 3x USB 3.2, HDMI 2.1, M.2 Key M, and M.2 Key E, 2.4\/5GHz Wi-Fi, Bluetooth, 16 lane MIPI CSI-2, UART, 40-Pin header, and other rich peripheral interfaces.\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\"\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\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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 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\u003c\/div\u003e\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\u003cspan class=\"image-wrapper\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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 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\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e \u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\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\"\u003ePart List\u003c\/h2\u003e\n\u003cdiv class=\"p_2981_table_wrapper\"\u003e\n\u003ctable class=\"p_2981_table\" border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\"\u003eJetson AGX Orin 32GB\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\"\u003eSeeed carrier board\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\"\u003eAluminum heatsink with fan\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\"\u003eAluminum case\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\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\"\u003e19V\/4.74A(Barrel Jack 5.5\/2.5mm) power adapter\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003ctd\u003e×1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\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\"\u003eDocuments\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tips\"\u003e\n\u003cdiv class=\"right-desc\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"relative\" id=\"product_info_d207d4b02efa4\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"html_content_2981\"\u003e\n\u003cdiv class=\"documents_list\"\u003e\n\u003cul\u003e\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/Jetson-AGX-Orin-32GB-H01-Kit-Datasheet.pdf\" target=\"_blank\"\u003eJetson AGX Orin 32GB H01 Kit Datasheet.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003cli class=\"doc_item\"\u003e\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\" target=\"_blank\"\u003eNVIDIA Jetson Devices and carrier boards comparision.pdf\u003c\/a\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":49842836078909,"sku":"SBC1119","price":223549.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/1-114110207-jetson-agx-orin-32gb-h01-kit-45fotn_1.jpg?v=1737739550"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition","title":"RTX PRO 6000 Blackwell Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Workstation Edition\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003ePowering the next era of AI.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-workstation-rtx-pro-6000-ari.jpg?v=1755492118\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eThe Ultimate AI and Graphics Performance\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe NVIDIA RTX PRO 6000 Blackwell Workstation Edition is the most powerful desktop GPU ever created redefining performance and capability for professionals. Dominate the most advanced models and tackle the most demanding creative workflows with unmatched AI processing power. Built on the groundbreaking NVIDIA Blackwell architecture and equipped with 96GB of ultra-fast GDDR7 memory, the RTX PRO 6000 delivers unparalleled speed, precision, and efficiency, empowering you to achieve the impossible.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe width=\"943\" height=\"539\" src=\"https:\/\/www.youtube.com\/embed\/P0BC2qZyvAM\" title=\"NVIDIA RTX PRO 6000 Blackwell Workstation Edition\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.8784%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.1216%; text-align: center;\"\u003e4000 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.8784%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.1216%;\"\u003e380 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.8784%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.1216%;\"\u003e125 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\" colspan=\"2\"\u003e\n\u003cem\u003eNotes:\u003c\/em\u003e As specified by manufacturer.  TOPS = Tera Operations Per Second.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding, and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_18-8-2025_101130_www.nvidia.com.jpg?v=1755492099\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4000\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e4× 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 47.0774%;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; font-weight: 600; text-align: center; width: 52.9226%;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 47.0774%;\"\u003e600 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003cem\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-blackwell-rtx-pro-6000-workstation-edition-nvidia-us-3519208-web.pdf?v=1755491687\" title=\"Datasheet RTX6000\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/em\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO™ 6000 Blackwell Workstation Edition Professional Graphics Card\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50631936180541,"sku":"SBC5002","price":1499999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Workstation-Edition-Front.png?v=1755493901"},{"product_id":"rtx-pro-6000-blackwell-workstation-edition-copy","title":"RTX PRO 6000 Blackwell Server Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Server Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12323_www.nvidia.com.jpg?v=1757399593\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUniversal AI and Visual Computing Performance for the Data Center\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBuilt on the groundbreaking NVIDIA Blackwell architecture, the NVIDIA RTX PRO™ 6000 Blackwell Server Edition delivers a powerful combination of AI and visual computing capabilities to accelerate enterprise data center workloads. Equipped with 96GB of ultra-fast GDDR7 memory, the NVIDIA RTX PRO 6000 Blackwell provides unparalleled performance and flexibility to accelerate a broad range of use cases - from agentic AI, physical AI, and scientific computing to rendering, 3D graphics, and video.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"NVIDIA RTX PRO 6000 Blackwell Server Edition\" src=\"https:\/\/www.youtube.com\/embed\/xF1kkf7zXRA\" height=\"539\" width=\"943\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1291.09px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 414.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate agentic and generative AI applications and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 414.094px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\" alt=\"\" width=\"82\" height=\"82\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.109px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.109px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 467.891px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 467.891px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\" alt=\"\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eDisplayPort 2.1\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eWith DisplayPort 2.1, professionals can achieve unparalleled visual clarity and performance, driving high-resolution displays at up to 8K at 240Hz and 16K at 60Hz. Increased bandwidth enables seamless multi-monitor setups, ideal for multitasking and collaboration, while HDR and higher color depth support ensure superior color accuracy for precision work, such as video editing, 3D design, and live broadcasting.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_9-9-2025_12254_www.nvidia.com.jpg?v=1757399594\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications\u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable cellpadding=\"6\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell Architecture\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eCUDA Parallel Processing cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e24,064\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Tensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e752 (5th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA RT Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e188 (4th Gen)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSingle-Precision Performance (FP32)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e120 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePeak FP4 AI PFLOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4 PFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e355 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96 GB GDDR7 with ECC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Interface\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e512-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1597 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 600W (Configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMulti-Instance GPU\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eUp to 4 MIGs @ 24GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVENC | NVDEC | JPEG\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x | 4x | 4x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eConfidential Compute\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSecure Boot with Root of Trust\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eYes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eGraphics Bus\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplay Connectors\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x DisplayPort 2.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4.4\" (H) x 10.5\" (L), dual slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eThermal Solution\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePassive\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePower Connector\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1x PCIe CEM5 16-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cb\u003eNote\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003ci\u003eAll specifications are preliminary.\u003c\/i\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/rtx-pro-6000-blackwell-server-edition-data-sheet.pdf?v=1757399342\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Server Edition\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50720693551421,"sku":"SBC5003","price":999999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/nvidia-rtx-pro-6000-bw-server-edition-og.jpg?v=1757485570"},{"product_id":"rtx-pro-6000-blackwell-server-edition-copy","title":"RTX PRO 6000 Blackwell Max-Q Workstation Edition","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003ePowering the next era of AI. \u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11643_www.nvidia.com_4163b5c5-1060-435c-8f94-10ee4b31a3eb.jpg?v=1757482591\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eScalable Workstation Performance \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eExperience the next level of AI and creative performance with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q Workstation Edition. Engineered to accelerate your most demanding workflows, it delivers unparalleled AI and neural rendering capabilities backed by 96GB of ultra-fast GDDR7 memory, in a density-optimized design. Seamlessly scale from one to four GPUs, multiplying your compute power and enabling you to pioneer new frontiers in AI, data science, and graphics.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHighlights — Industry-Leading Performance\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, 'Segoe UI', Roboto, Arial, sans-serif; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"text-align: center;\"\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 68.9369%; text-align: center;\"\u003eAI Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); width: 31.0631%; text-align: center;\"\u003e3511 TOPS\u003csup\u003e1,2\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 68.9369%;\"\u003eRT Core Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center; width: 31.0631%;\"\u003e333 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 68.9369%;\"\u003eSingle-Precision (FP32) Performance\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; text-align: center; width: 31.0631%;\"\u003e110 TFLOPS\u003csup\u003e1\u003c\/sup\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003ctfoot\u003e\n\u003ctr\u003e\n\u003ctd colspan=\"2\" style=\"padding: 10px; font-size: 0.9rem; color: rgb(85, 85, 85); border-top: 1px solid rgb(221, 221, 221); text-align: center; width: 100%;\"\u003e\n\u003cem\u003e\u003c\/em\u003e\n\u003cp\u003e1. Peak rates based on GPU Boost Clock.   |   2. Theoretical FP4 TOPS using sparsity.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tfoot\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeatures\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\"\u003ePowered by NVIDIA Blackwell Architecture\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/geforce-rtx-50-series-architecture-ari.jpg?v=1755491985\" alt=\"\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 81.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 81.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.9157%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFifth-Gen Tensor Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eMax AI performance with FP4 and DLSS 4\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 41.5806%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eNew Streaming Multiprocessors\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eOptimized for RTX Neural Shaders\n\u003cp\u003e \u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 28.7005%; height: 81.141px;\"\u003e\n\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003eFourth-Gen Ray Tracing Cores\u003c\/strong\u003e\u003c\/span\u003e\u003cbr\u003eBuilt for RTX Mega Geometry\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 1293.06px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 448.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-tensor-core-ffffff_1.svg?v=1755494534\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e5th Gen Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFifth-generation Tensor Cores deliver up to 3X the performance of the previous generation and add support for FP4 precision and DLSS 4 Multi Frame Generation technology. Accelerate local LLMs, prototype new AI models, and drive enhanced content creation and graphics.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-render-ffffff_1.svg?v=1755494654\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e4th Gen RT Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eFourth-generation RT Cores deliver up to 2X the performance of the previous generation, accelerating rendering for M\u0026amp;E content creation, AECO design, and manufacturing prototyping. Create photoreal, physically accurate scenes and immersive 3D designs with neural graphics-based technologies, such as RTX Mega Geometry, enabling up to 100X more ray-traced triangles.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 448.094px;\"\u003e\n\u003cimg height=\"82\" width=\"82\" alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-accelerating-cuda-c---appl-with-multiple-gpus-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eCUDA Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA Blackwell is the most powerful professional RTX GPU ever created, featuring the latest SM and CUDA® core technology. The SM features increased processing throughput and new neural shaders that integrate neural networks inside of programmable shaders to drive the next decade of AI-augmented graphics innovations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 409.094px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-chip-ffffff_1.svg?v=1755494655\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e96GB of GPU Memory\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNew and improved GDDR7 memory significantly boosts bandwidth and capacity, empowering your applications to run faster and work with larger, more complex datasets. With 96 GB of GPU memory, tackle massive 3D and AI projects, explore large-scale VR environments, and drive larger multi-app workflows.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-gpu-encoding-ffffff_1.svg?v=1755494865\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e9th-Gen NVENC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNinth-generation NVIDIA NVENC engines significantly accelerate video encoding speed and improve quality for professional video applications. They add new support for 4:2:2 H.264 and HEVC encoding and improve HEVC and AV1 encoding quality.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 409.094px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-broadcast-ffffff_1_1.svg?v=1755494943\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003e6th-Gen NVDEC\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSixth-generation NVIDIA NVDEC engines provide up to double H.264 decoding throughput and offer support for 4:2:2 H.264 and HEVC decode. Professionals can benefit from high-quality video playback, accelerate video data ingestion, and use advanced AI-powered video editing features.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 435.875px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-multi-gpus-ffffff_1.svg?v=1755494864\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMulti-Instance GPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eMulti-Instance GPU (MIG) expands the performance and value of RTX PRO 6000 Max-Q, enabling the creation of up to four (4) fully isolated instances. Each MIG instance has its own high-bandwidth memory, cache, and compute cores. and guaranteed quality of service (QoS), extending the reach of accelerated computing resources to every user.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-pcie-switch-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003ePCIe Gen 5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eSupport for PCI Express Gen 5 provides double the bandwidth of PCIe Gen 4, improving data-transfer speeds from CPU memory and unlocking faster performance for data-intensive tasks like AI, data science, and 3D modeling.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0915%; height: 435.875px;\"\u003e\n\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-display-gaming-no-bezel-ffffff_1.svg?v=1755494759\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eMax-Q\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cp\u003ePacking a 300W punch into an ultra-efficient design, the RTX PRO 6000 Max-Q redefines high-density workstation performance. Optimized for energy and space efficiency, it enables up to 4 GPUs in a single system, delivering unmatched scalability for AI training, 3D rendering, and complex simulations.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eWorkloads\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eMulti-Workload Acceleration\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Screenshot_10-9-2025_11726_www.nvidia.com_44356250-de63-48c2-b2c2-734d143d9180.jpg?v=1757483235\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eSpecifications \u003c\/span\u003e\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Architecture\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Blackwell\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAI TOPS\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e3511\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eTensor Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e5th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRay Tracing Cores\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Encoder (NVENC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 9th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eNVIDIA Decoder (NVDEC)\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e4x 6th Gen\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Configuration\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e96GB GDDR7 with error-correcting code (ECC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e1792 GB\/sec\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMax Power Consumption\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003e300 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSystem Requirements\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; text-align: left; width: 100%;\" cellpadding=\"8\" cellspacing=\"0\" border=\"1\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"background-color: #f2f2f2;\"\u003e\n\u003cth style=\"text-align: center;\"\u003eCategory\u003c\/th\u003e\n\u003cth style=\"text-align: center;\"\u003eDetails\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"6\" style=\"text-align: center;\"\u003e\u003cb\u003eSystem Requirements\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eIntel Core i5, i7, i9, or Xeon processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eAMD Ryzen or Epyc class processor or later\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003ePCI Express 5.0 x16 (preferred) expansion slot\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSystem memory ≥ GPU memory (2× GPU memory recommended)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eInternet connection for driver installation\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eDisplayPort 2.1 (preferred), HDMI®, or DVI-compatible display(s)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd rowspan=\"8\" style=\"text-align: center;\"\u003e\u003cb\u003eSupported Platforms\u003c\/b\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 11 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eMicrosoft Windows 10 (64-bit)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eRed Hat Enterprise Linux 7.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSUSE Linux Enterprise Desktop 15.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFedora 31\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eUbuntu 18.04\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eFreeBSD 11.x\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003eSolaris 11\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload \u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; font-family: system-ui, -apple-system, Segoe UI, Roboto, Arial, sans-serif;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"padding: 10px; border-bottom: 1px solid rgb(238, 238, 238); text-align: center;\"\u003e\u003ca rel=\"noopener\" title=\"Datasheet RTX6000\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/workstation-datasheet-blackwell-rtx-pro-6000-max-q-nvidia-3519233.pdf?v=1757482383\" target=\"_blank\"\u003e\u003cem\u003eDownload\u003c\/em\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Contains\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1x NVIDIA RTX PRO 6000 Blackwell Max-Q Workstation Edition Professional Graphics Card\u003cbr\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e1x Auxiliary Power Cable\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50726512525629,"sku":"SBC5001","price":949999.98,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/NVIDIA-RTX-PRO-6000-Blackwell-Max-Q-Workstation-Edition-3QTR-Top-Left-Icons.png?v=1757483154"},{"product_id":"nvidia-jetson-agx-thor-developer-kit","title":"NVIDIA Jetson AGX Thor Developer Kit","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cstrong\u003eThe ultimate platform for physical AI and robotics.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/AGX-THOR2_jpg_effa758b-309d-491a-a606-721f74489fed.webp?v=1759570665\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eA Compact Powerhouse for Advanced AI and Robotics\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA Jetson Thor series modules give you the ultimate platform for physical AI and robotics, delivering up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory with power configurable between 40 W and 130 W. They deliver over 7.5x higher AI compute than NVIDIA AGX Orin, with 3.5x better energy efficiency, enabling real-time multimodal perception, decision-making, and control, all for accelerating the development of intelligent, responsive, and highly sophisticated robotic systems.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eFeature\u003c\/h2\u003e\n\u003ctable cellpadding=\"10\" cellspacing=\"0\" border=\"1\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eExtreme AI Performance for Robotics\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003ePowered by Jetson T5000 module with a Blackwell GPU (2560 cores, 96 Tensor Cores), delivering up to \u003cstrong\u003e2070 FP4 \/ 1035 FP8 TFLOPS \u003c\/strong\u003eIdeal for running generative AI models like LLMs, VLA (e.g., NVIDIA® Isaac™ GR00T N), ViT, and more.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eTransformer \u0026amp; Multimodal Optimization\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eBuilt-in Transformer Engine and MIG (Multi-Instance GPU) support with \u003cstrong\u003e128 GB LPDDR5X (273 GB\/s)\u003c\/strong\u003e memory\u003cbr\u003eEnables efficient training and inference of transformer and multimodal models at the edge.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eReal-Time Processing\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eEquipped with a \u003cstrong\u003e14-core Arm® Neoverse®-V3AE CPU\u003c\/strong\u003e\u003cbr\u003eDesigned for fast, deterministic real-time control in robotic applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"text-align: center;\"\u003e\u003cstrong\u003eSensor \u0026amp; Network Integration\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center;\"\u003eSupports \u003cstrong\u003eup to 4× 25GbE\u003c\/strong\u003e high-speed connections\u003cbr\u003e140W power supply, and versatile I\/O including HDMI, DP, USB 3.2 \/ USB-C, CAN, and GbE Ideal for high-bandwidth, low-latency real-time sensor fusion and communication.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-kit.webp?v=1759562965\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eBenefits\u003c\/h2\u003e\n\u003ch4 style=\"text-align: center;\"\u003eBlackwell GPU, Sensor Processing, and Robotic AI Software Stack\u003c\/h4\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 547.699px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 318.068px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 318.068px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-foundational-model-cognition.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eSupercomputer for Humanoids\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eAccelerate generative AI and large transformer models at the edge with the 2070 FP4 TFLOPS Blackwell GPU.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 318.068px;\"\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-speed.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Speed Sensor Processing\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eIngest high-speed sensor data for real-time performance with 4x 25 GbE networking, a camera offload engine, and a Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 229.631px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 50.0146%; height: 229.631px;\"\u003e\n\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-robot-mimic.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\"\u003e\u003cbr\u003e\n\u003cp\u003e\u003cstrong\u003eRobotic AI Software\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDiscover a solution designed for humanoid robotics and physical AI applications, powered by the NVIDIA Isaac™ platform and GR00T foundational models.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 49.7943%; height: 229.631px;\"\u003e\n\u003cdiv style=\"text-align: start;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/m48-containerized-security.svg?v=1759567589\" alt=\"\" width=\"84\" height=\"84\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cp\u003e\u003cstrong\u003eRobust Security\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eDeliver end-to-end safety and security across the compute platform, AI models, and the entire edge-to-cloud pipeline.\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecification\u003c\/h2\u003e\n\u003ctable cellpadding=\"8\" cellspacing=\"0\" border=\"1\" style=\"width: 100.065%; height: 1459.35px;\"\u003e\n\u003cthead\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003cth style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003eSpecification\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003eJetson AGX Thor Developer Kit\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003eJetson T5000\u003c\/th\u003e\n\u003cth style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003eJetson T4000\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e2070 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e1200 TFLOPS (FP4—Sparse)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e2560-core Blackwell GPU with 96 Tensor Cores\u003cbr\u003eMIG with 10 TPCs\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e1536-core Blackwell GPU with 64 Tensor Cores\u003cbr\u003eMIG with 6 TPCs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eGPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1.57 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 78.4091px;\"\u003e14-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e12-core Arm® Neoverse®-V3AE\u003cbr\u003e1 MB L2\/core, 16 MB shared L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eCPU Max Frequency\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e2.6 GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 39.2045px;\"\u003e1× PVA v3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e128 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e64 GB LPDDR5X, 256-bit, 273 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.4091px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 78.4091px;\"\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 78.4091px;\"\u003e1 TB NVMe M.2 Key M \u003cspan\u003eSlot\u003c\/span\u003e\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 78.4091px;\"\u003e\n\u003cspan\u003eSupports NVMe through PCIe\u003c\/span\u003e\u003cbr\u003e\u003cspan\u003eSupports SSD through USB3.2\u003c\/span\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Encode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 6× 4Kp60 (H.265), 12× 4Kp30 (H.265)\u003cbr\u003e• 24× 1080p60 (H.265), 50× 1080p30 (H.265)\u003cbr\u003e• 48× 1080p30 (H.264), 6× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eVideo Decode\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 58.8068px;\"\u003e• 4× 8Kp30, 10× 4Kp60, 22× 4Kp30 (H.265)\u003cbr\u003e• 46× 1080p60, 92× 1080p30 (H.265)\u003cbr\u003e• 82× 1080p30, 4× 4Kp60 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 208.409px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 208.409px;\"\u003e\u003cstrong\u003eCamera Support\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"3\" style=\"text-align: center; width: 73.4726%; height: 208.409px;\"\u003e\n\u003cp\u003e\u003cstrong\u003eJetson AGX Thor Developer Kit\u003cbr\u003eJetson T5000\u003c\/strong\u003e\u003cbr\u003e• HSB camera via QSFP\u003cbr\u003e• USB camera\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eJetson T4000\u003c\/strong\u003e\u003cbr\u003e• Up to 20 cameras via HSB\u003cbr\u003e• Up to 6 via 16x lanes MIPI CSI-2\u003cbr\u003e• Up to 32 using Virtual Channels\u003cbr\u003e• C-PHY 2.1 (10.25 Gbps), D-PHY 2.1 (40 Gbps)\u003c\/p\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003ePCIe\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 49.0713%; height: 98.0114px;\"\u003e• M.2 Key M (x4 Gen5), M.2 Key E (x1 Gen5)\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 98.0114px;\"\u003e• Up to Gen5 (x8 lanes)\u003cbr\u003e• Root Port: C1 (x1), C3 (x2)\u003cbr\u003e• Root\/Endpoint: C2 (x1), C4 (x8), C5 (x4)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.8068px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 58.8068px;\"\u003e\u003cstrong\u003eUSB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 58.8068px;\"\u003e• 2× USB-A (3.2 Gen2)\u003cbr\u003e• 2× USB-C (3.1)\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 58.8068px;\"\u003e• xHCI host controller\u003cbr\u003e• 3× USB 3.2\u003cbr\u003e• 4× USB 2.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eNetworking\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× 5 GbE RJ45\u003cbr\u003e1× QSFP28 (4× 25 GbE)\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 39.2045px;\"\u003e4× 25 GbE\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 39.2045px;\"\u003e3× 25 GbE\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.2045px;\"\u003e\n\u003ctd style=\"width: 15.408%; height: 39.2045px;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 39.2045px;\"\u003e1× HDMI 2.0b\u003cbr\u003e1× DisplayPort 1.4a\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 39.2045px;\"\u003e4× HDMI 2.1 shared\u003cbr\u003eVESA DP 1.4a (HBR2, MST)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 310.028px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 310.028px;\"\u003e\u003cstrong\u003eOther I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 310.028px;\"\u003e\n\u003cp\u003e• QSFP connector\u003cbr\u003e• M.2 Key E: WLAN\/BT, PCIe, USB2.0, UART, I2C, I2S\u003cbr\u003e• M.2 Key M: NVMe\u003cbr\u003e• PCIe x4, x2 lanes, I2C\u003cbr\u003e• 2× CAN headers, automation headers, LED, JTAG\u003cbr\u003e• 1x fan connector —12V, PWM, and Tach\u003cbr\u003eAudio panel header (2x 5-pin)\u003cbr\u003eMicrofit power jack\u003cbr\u003eRTC backup battery connector 2-pin\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART, 4× CAN\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 310.028px;\"\u003e• 5× I2S \/ 2× AHUB\u003cbr\u003e• 2× DMIS\u003cbr\u003e• 4× UART\u003cbr\u003e• 3× SPI, 13× I2C, 6× PWM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.6023px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 19.6023px;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 22.7251%; height: 19.6023px;\"\u003e40 W – 130 W\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 24.4014%; height: 19.6023px;\"\u003e40 W – 70 W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 98.0114px;\"\u003e\n\u003ctd style=\"text-align: center; width: 15.408%; height: 98.0114px;\"\u003e\u003cstrong\u003eMechanical\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"text-align: center; width: 26.3461%; height: 98.0114px;\"\u003e243.19 mm x 112.40 mm x 56.88 mm\u003cbr\u003eThermal Transfer Plate (TTP) and optional fan or heat sink\u003c\/td\u003e\n\u003ctd colspan=\"2\" style=\"text-align: center; width: 47.1265%; height: 98.0114px;\"\u003e100 mm x 87 mm\u003cbr\u003e699-pin B2B connector\u003cbr\u003eIntegrated Thermal Transfer Plate (TTP) with heatpipe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e* \u003c\/span\u003eRefer to the Software Features section of the latest NVIDIA Jetson Linux Developer Guide for a list of supported features.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e**\u003c\/span\u003e Low-speed I\/O spec is subject to change.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eApplication\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image_app-1.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-2.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-3.webp?v=1759563172\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/image-app-4.webp?v=1759563171\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGet Started with NVIDIA Jetson Thor\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eThe Jetson Thor AGX Developer Kit delivers unmatched performance and scalability for humanoids and physical AI. This video showcases its key features, specifications, and components, as well as how to power it on and initiate first boot. It also demonstrates some of the latest workflows, including Isaac GR00T N1, Video Search and Summarization (VSS), and NVIDIA Holoscan Sensor Bridge.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-thor-technical-brief.pdf?v=1759567474\" target=\"_blank\"\u003e\u003cstrong\u003eRead the Technical Brief\u003c\/strong\u003e\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ciframe title=\"Getting Started with the NVIDIA Jetson AGX Thor Developer Kit for Physical AI\" src=\"https:\/\/www.youtube.com\/embed\/iYT2haVIgSM\" height=\"355\" width=\"630\"\u003e\u003c\/iframe\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDownload\u003c\/h2\u003e\n\u003ctable width=\"100%\" style=\"width: 100%; height: 28.5938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 28.5938px;\"\u003e\n\u003ctd style=\"width: 66.065%; height: 28.5938px;\"\u003eDatasheet\u003c\/td\u003e\n\u003ctd style=\"width: 33.574%; text-align: right; height: 28.5938px;\"\u003e\u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Thor_Datasheet_f01b914b-d1d1-4c72-bfa8-0bb91b97c78d.pdf?v=1759569289\" rel=\"noopener\" target=\"_blank\"\u003eDownload\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePackage Includes:\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e1 x NVIDIA Jetson AGX Thor Developer Kit\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":50814727913789,"sku":"SBC1131","price":622499.99,"currency_code":"INR","in_stock":false}],"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":599999.99,"currency_code":"INR","in_stock":true},{"title":"Dual Unit with 200G QSFP56 Cable","offer_id":51141865341245,"sku":"SBC1142-D","price":1199999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/SPARK-3QTR-Right.png?v=1763456416"},{"product_id":"thinkrobotics-edge-ai-device-with-nvidia-jetson-orin™-nx-8gb-16gb-module-dual-ethernet","title":"ThinkRobotics Edge AI Device with NVIDIA Jetson Orin NX 8GB \/ 16GB module (Dual Ethernet)","description":"\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module (Dual Ethernet)\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, the \u003cmeta charset=\"utf-8\"\u003eWaveshare \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eJetson Orin IO Base B carrier board\u003c\/a\u003e, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, and a power adapter installed in a 3D printed carbon fiber case or metal case. The device is preinstalled with JetPack 6.2.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eOn-device processing with up to 100 TOPS AI performance, delivering low power consumption and low latency for production deployments.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eForm Factor\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eHand-size edge AI device (130mm × 120mm × 58.5mm) with NVIDIA Jetson Orin™ NX 16GB\/8GB module, integrated cooling fan with heatsink, enclosure, and power adapter. Supports desktop placement and wall mounting.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eI\/O Interfaces\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e3× USB 3.2 Gen2, 1× USB 2.0, DisplayPort (4K), 2× CSI camera ports, 1× Gigabit Ethernet + 1× 2.5 Gigabit Ethernet (dual LAN), M.2 Key E (Wi-Fi), M.2 Key M (NVMe), CAN, and GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Storage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003ePre-installed NVIDIA JetPack™ 5.1 on 240GB NVMe SSD, includes Linux BSP with support for Jetson ecosystem, AI frameworks, and software platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center;\"\u003eFCC, CE, and RoHS certified.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003eWith rich extension modules, industrial peripherals, and thermal management, this ThinkRobotics device for Jetson is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWe have prepared abundant \u003ca href=\"https:\/\/www.waveshare.com\/wiki\/Jetson_Orin_Nano\" target=\"_blank\"\u003eguides\u003c\/a\u003e to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/developer.nvidia.com\/tensorrt\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 470.25px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eCategory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003ePlatform \/ Tool\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 19.5938px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 293.906px;\" rowspan=\"7\"\u003e\u003cstrong\u003eComputer Vision \u0026amp; Embedded ML\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eStreaming analytics toolkit for AI-based multi-sensor processing, video, and image understanding on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLow-code framework built on TensorFlow and PyTorch to accelerate AI model training.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to build, train, and deploy computer vision applications with access to 100+ pre-trained models.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 58.7812px;\"\u003eEmbedded ML pipeline for deploying audio, classification, and object detection applications with minimal cloud dependency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eToolchain for converting images into custom-trained computer vision models and deploying them on Jetson.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eLightweight object detection model supporting transfer learning with minimal training data.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003ePlatform to benchmark and optimize runtime performance of AI models on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eSpeech AI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Riva\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eGPU-accelerated SDK for building real-time, customizable speech AI applications.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eRemote Fleet Management\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eAllxon\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eSecure OTA updates and remote device management platform.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 78.375px;\" rowspan=\"2\"\u003e\u003cstrong\u003eRobot \u0026amp; ROS Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eHardware-accelerated ROS packages for building high-performance robotics applications on NVIDIA platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; text-align: center; height: 39.1875px;\"\u003eCloud-based platform for managing and deploying autonomous robots with Jetson and Isaac support.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eDual Ethernet \u0026amp; Interface-rich Carrier Board\u003c\/h3\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board (Base B) is a high-performance, interface-rich board, providing DisplayPort (4K), Dual Ethernet (1x GbE + 1x 2.5GbE), 3x USB 3.2 Gen 2, 1x USB 2.0, M.2 key E, M.2 key M, CSI camera, CAN, GPIO, I2C, I2S, fan, and other rich peripheral interfaces.\u003c\/p\u003e\n\u003cp\u003e\u003cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/9_49f37cfe-1ace-4c08-bec3-f5ec00312b91.jpg?v=1765009615\" alt=\"\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 333.094px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eModule Socket\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e260-pin SO-DIMM socket for connecting Jetson Orin Nano \/ Orin NX modules\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eControl Header\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e12-pin header supporting power button, reset button, debug serial port, force recovery, auto power-up enable, and power indicator\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003ePower\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003ePower button; DC jack supporting 9V–19V input, compatible with 5.5 × 2.5mm plug\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eCamera\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × 22-pin CSI camera interfaces\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eDisplay\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eDisplayPort supporting up to 4K output\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-A)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e4 × USB Type-A ports: 3 × USB 3.2 Gen2 (up to 10Gbps), 1 × USB 2.0 (up to 480Mbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eEthernet\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e1 × RJ45 2.5G Ethernet port, 1 × RJ45 Gigabit Ethernet port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eUSB (Type-C)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003eUSB Type-C port for system flashing and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eInternal Headers\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e40-pin header; 4-pin PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e\u003cstrong\u003eInternal USB\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 19.5938px; text-align: center;\"\u003e2 × USB 2.0 connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eFFC Connectors\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; height: 39.1875px; text-align: center;\"\u003e0.5mm pitch, 6-pin FFC connectors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\"\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eNVIDIA Jetson Orin™ NX 8GB \/ 16GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWaveshare Carrier Board (Base B) - Dual Ethernet\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eOfficial Cooling Fan for Jetson Orin\u003cbr\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px; text-align: center;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid black; width: 74.5555%; height: 19.5938px; text-align: center;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid black; width: 25.4445%; height: 19.5938px; text-align: center;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: left;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" rel=\"noopener\" target=\"_blank\"\u003eWaveshare Jetson Orin IO Base B Wiki\u003c\/a\u003e\u003c\/p\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51132269297981,"sku":"SBC1146-8","price":104449.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51132269330749,"sku":"SBC1146-8A","price":107449.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51132269363517,"sku":"SBC1146-16","price":144999.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51132269396285,"sku":"SBC1146-16A","price":147999.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/DSC2605.jpg?v=1774596576"},{"product_id":"waveshare-jetson-orin-nano-nx-carrier-board-with-dual-ethernet","title":"Waveshare Jetson Orin Nano \/ NX Super Dual Ethernet Base Board","description":"\u003cdiv class=\"pdT\" style=\"text-align: center;\"\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B\u003c\/h2\u003e\n\u003ch3 class=\"richDesc hilitBlock2\" style=\"text-align: center;\"\u003eWaveshare Jetson Orin Nano \/ NX Base Board\u003c\/h3\u003e\n\u003cp\u003e\u003cspan style=\"color: rgb(194, 0, 0);\"\u003e\u003cstrong\u003eBased on the Jetson Orin Nano and Jetson Orin NX modules, onboard dual Ethernet ports\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cspan\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, front view\"\u003e\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003cp class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\"\u003eCompatible With Orin Module\u003c\/h2\u003e\n\u003cp\u003eSupports connecting to N-VIDIA Jetson Orin Nano module and Jetson Orin NX module\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-2.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle hilitColor\" style=\"text-align: center;\"\u003eConnect To CSI Camera\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"text-align: center;\"\u003e2× 4-Lane CSI Camera Ports For AI Applications Such As Face Recognition, \u003cbr\u003eRoad Sign Recognition And License Plate Recognition\u003c\/p\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-5.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Expands 2-Lane CSI camera ports for AI applications\"\u003e\u003cbr\u003e\n\u003cp style=\"text-align: center;\" class=\"note\"\u003e\u003cspan style=\"color: #c20001;\"\u003e\u003cem\u003e* Note: the adapter cable is required for connecting the camera.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e7× USB Ports\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"hilitBlock2 round1234\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(194, 0, 1);\"\u003e4 × Type-A + 1 × Type-C + 2 × USB2.0 FFC connectors\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports connecting to more peripherals, USB 3.2 Gen 2 ports for data transmission up to 10Gbps, \u003cbr\u003eType-C port can be used for system burning, and Onboard 2 × USB 2.0 FFC connectors\u003c\/p\u003e\n\u003ch4\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-7.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, 4 × Type-A + 1 × Type-C + 2 × USB2.0 ports\"\u003e\u003c\/h4\u003e\n\u003ch4\u003e \u003c\/h4\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"pdT\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e4K High Definition Output\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003eSupports DP High-Definition Port\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-7.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cp style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eColor-Coded 40PIN GPIO Header\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20001;\"\u003eColor-Coded Header Pins To Differentiate IO Resources Such As \u003cbr\u003eI2C, SPI, I2S, UART, GPIO, Etc.\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-9.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003e \u003c\/h2\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eFlexible Storage And Wireless Expansion\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\" class=\"richDesc\"\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eOnboard 2× M.2 Key M Ports For Easy Connecting Solid State Drives And 1× M.2 Key E \u003cbr\u003e\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003eInterface\u003c\/span\u003e\u003c\/strong\u003e\u003cstrong\u003e\u003cspan style=\"color: #c20000;\"\u003e For Connecting Wireless NIC, Which Can Reduce Cable Connection\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg style=\"margin-bottom: 16px; float: none;\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE\/JETSON-ORIN-IO-BASE-details-11.jpg\"\u003e\n\u003cp class=\"note\"\u003e\u003cem\u003e* for reference only, the Solid State Drive and wireless network card are NOT included.\u003c\/em\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cp\u003e \u003cbr\u003e\u003c\/p\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOnboard Resources\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-1.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, Onboard resource\"\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-intro-2.jpg\" alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B， Onboard resource (the back)\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ctable height=\"691\" style=\"border-collapse: collapse; width: 81.25%; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e1.\u003c\/strong\u003e 260PIN DO-DIMM socket\u003cbr\u003efor connecting Jetson Orin Nano \/ NX module\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e2.\u003c\/strong\u003e 12PIN header\u003cbr\u003eAdapting pins for power button, reset button, debug serial port, force recovery setting, auto power-up enable and power indicator functions\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e3.\u003c\/strong\u003e Power button\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e4.\u003c\/strong\u003e 2 × 22PIN CSI camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e5.\u003c\/strong\u003e 2 × MIPI CSI 4-lane camera interfaces\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e6.\u003c\/strong\u003e DC power jack\u003cbr\u003eSupports wide range 9V ~ 19V power supply, compatible with 5.5 × 2.5mm male plug\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e7.\u003c\/strong\u003e DisplayPort port\u003cbr\u003eSupports 4K display\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e8.\u003c\/strong\u003e 4 × USB Type-A ports\u003cbr\u003e– 3 × USB 3.2 Gen2 ports, up to 10Gbps data transmission\u003cbr\u003e– 1 × USB 2.0 port, supports 480Mbps data transmission\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e9.\u003c\/strong\u003e RJ45 2.5G Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e10.\u003c\/strong\u003e RJ45 Gigabit Ethernet port\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e11.\u003c\/strong\u003e USB Type-C port\u003cbr\u003efor system burning and data communication\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e12.\u003c\/strong\u003e 40PIN header\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e13.\u003c\/strong\u003e 4PIN PWM fan header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 49.2344%;\"\u003e\n\u003cstrong\u003e14.\u003c\/strong\u003e M.2 Key E\u003cbr\u003efor connecting wireless NIC\u003cbr\u003e\u003cbr\u003e\u003cstrong\u003e15.\u003c\/strong\u003e 2 × M.2 Key M\u003cbr\u003efor connecting NVMe solid-state drives\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; width: 50.8913%;\"\u003e\n\u003cstrong\u003e16.\u003c\/strong\u003e RTC backup battery header\u003cbr\u003ePH1.25 2P\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003cbr\u003e\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\"\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle hilitColor\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"Jetson Orin Nano \/ NX Super Dual Ethernet Base Board type B, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-ORIN-IO-BASE-B\/JETSON-ORIN-IO-BASE-B-details-size.jpg\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"richTitle\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\" class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\u003cstrong\u003eWiki: \u003ca rel=\"noopener noreferrer\" href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-IO-BASE-B\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON\u003c\/a\u003e\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"text-align: center;\" class=\"bgGrey\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003ch2 style=\"text-align: center;\" class=\"bgGrey\"\u003ePackage Content\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eWeight:\u003c\/strong\u003e 0.093 kg\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eJETSON-ORIN-IO-BASE-B x1\u003cbr\u003eScrews pack x1\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/brave_screenshot_www.waveshare.com_13.png?v=1769079325\"\u003e\u003c\/p\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":51132458008893,"sku":"WVSH0587","price":9499.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/jetson-orin-io-base-b-1.jpg?v=1769079919"},{"product_id":"nvidia-h200-gpu","title":"NVIDIA H200 NVL Graphic Card 141 GB Passive PCIe","description":"\u003ch2 style=\"text-align: center;\"\u003eNVIDIA H200 NVL Graphic Card \u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e900-21010-0040-000\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5X memory increase, large language model (LLM) inference can be accelerated up to 1.7X and HPC applications achieve up to 1.3X more performance over the H100 NVL.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eNVIDIA H200 GPU\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eSupercharging AI and HPC workloads.\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg alt=\"\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200-kv-bb580_440-p_2x_c509abc6-b079-440a-ba94-85a6f42054c2.jpg?v=1765349204\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe GPU for Generative AI and HPC\u003c\/span\u003e\u003cstrong\u003e\u003cbr\u003e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(0, 0, 0);\"\u003eThe NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eExperience Next-Level Performance\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 90%; margin: auto; height: 97.141px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 97.141px;\"\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.3051%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.9X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eLlama2 70B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 33.0454%; height: 97.141px;\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e1.6X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eGPT-3 175B Inference\u003c\/strong\u003e\u003c\/p\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 0px; text-align: center; vertical-align: top; width: 32.8025%; height: 97.141px;\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"highlights\" class=\"p-t-75 p-b-75  lap-p-t-75 \n         lap-p-b-75  tab-p-t-45 tab-p-b-45\n          mob-p-t-45 mob-p-b-45  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\" data-in-page-nav-item-index=\"2\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"container-3a785f44cc\" class=\"p-t-30 p-b-0  lap-p-t-30 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0 \n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\"\u003e\n\u003cdiv class=\"general-container nv-flexbox d-col-3 l-col-3 t-col-2 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch\"\u003e\n\u003cdiv class=\"nv-container container responsivegrid\"\u003e\n\u003cdiv id=\"container-df03b36c44\" class=\"p-t-0 p-b-0  lap-p-t-0 \n         lap-p-b-0  tab-p-t-30 tab-p-b-0\n          mob-p-t-30 mob-p-b-0  \n          \n          \n         d-top-align d-left-align \n         l-left-align l-top-align t-left-align \n         t-top-align m-top-align m-left-align \n             \n         d-content-align-top l-content-align-top t-content-align-top m-content-align-top\" data-cmp-is=\"nv-container\" data-cmp-breadcrumbcolor=\"none\"\u003e\n\u003cdiv class=\"general-container\"\u003e\n\u003cdiv class=\"aem-Grid aem-Grid--12 aem-Grid--default--12\"\u003e\n\u003cdiv class=\"nv-text text aem-GridColumn aem-GridColumn--default--12\"\u003e\n\u003cdiv id=\"nv-text-df620d9d5d\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-center lap-text-center tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003ch2\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cspan class=\"leadPerf\"\u003e110X\u003c\/span\u003e Faster\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eHigh-Performance Computing\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eHigher Performance With Larger, Faster Memory\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eBased on the NVIDIA Hopper™ architecture, the NVIDIA H200 is the first GPU to offer 141 gigabytes (GB) of HBM3e memory at 4.8 terabytes per second (TB\/s) —that’s nearly double the capacity of the NVIDIA H100 GPU with 1.4X more memory bandwidth. The H200’s larger and faster memory accelerates generative AI and LLMs, while advancing scientific computing for HPC workloads with better energy efficiency and lower total cost of ownership.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eUnlock Insights With High-Performance LLM Inference\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eIn the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eThe H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/deep-learning-ai\/solutions\/inference-platform\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eExplore NVIDIA’s AI Inference Platform \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/llm-inference-chart_1.svg?v=1765343362\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 13B: ISL 128, OSL 2K | Throughput | H100 SXM 1x GPU BS 64 | H200 SXM 1x GPU BS 128\u003cbr\u003eGPT-3 175B: ISL 80, OSL 200 | x8 H100 SXM GPUs BS 64 | x8 H200 SXM GPUs BS 128\u003cbr\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSupercharge High-Performance Computing\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eMemory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/high-performance-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About High-Performance Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/high-performance-computing-chart.svg?v=1765343458\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eHPC MILC- dataset NERSC Apex Medium | HGX H200 4-GPU | dual Sapphire Rapids 8480\u003cbr\u003eHPC Apps- CP2K: dataset H2O-32-RI-dRPA-96points | GROMACS: dataset STMV | ICON: dataset r2b5 | MILC: dataset NERSC Apex Medium | Chroma: dataset HMC Medium | Quantum Espresso: dataset AUSURF112 | 1x H100 SXM | 1x H200 SXM.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eReduce Energy and TCO\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eWith the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/sustainable-computing\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eLearn More About Sustainable Computing \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/energy-tco-chart.svg?v=1765343557\" alt=\"\" style=\"font-size: 0.875rem;\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003ePreliminary specifications. May be subject to change.\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eLlama2 70B: ISL 2K, OSL 128 | Throughput | H100 SXM 1x GPU BS 8 | H200 SXM 1x GPU BS 32\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eAccelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/h200nvl-ari.jpg?v=1765343797\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eEnterprise-Ready: AI Software Streamlines Development and Deployment\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003eNVIDIA H200 NVL comes with a five-year NVIDIA Enterprise subscription. This subscription includes NVIDIA AI Enterprise to simplify the way you build an enterprise AI-ready platform. H200 accelerates AI development and deployment for production-ready generative AI solutions, including computer vision, speech AI, retrieval augmented generation (RAG), and more. NVIDIA AI Enterprise includes NVIDIA NIM™, a set of easy-to-use microservices designed to speed up enterprise generative AI deployment. Together, deployments have enterprise-grade security, manageability, stability, and support. This results in performance-optimized AI solutions that deliver faster business value and actionable insights.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/activate-license\/?ncid=no-ncid\" rel=\"noopener\" target=\"_blank\"\u003eActivate Your NVIDIA AI Enterprise License \u0026gt;\u003c\/a\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ai-enterprise-kv-bm-af360-p_2x_52a142c2-70d5-4d47-8fd5-b1053843bf42.jpg?v=1765343884\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eGraphics memory\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003e\u003cstrong\u003eMemory size 141 GB┃Memory type HBM3e\u003c\/strong\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003eVRAM, these days primarily of GDDR type, is a synchronous memory, similar to standard RAM. However, in the case of graphic memory, memory chips with faster throughput and multiple data transfer rates are concerned. The result is a much faster buffering of data that the graphics card or coprocessor calculates and passes to the processor.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cp style=\"text-align: center;\"\u003e\u003cstrong\u003eNVIDIA H200 GPU\u003c\/strong\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 100%; height: 685.808px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003eSpecification\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 SXM\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003cth style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e\u003cstrong\u003e\u003cspan style=\"color: rgb(115, 194, 34);\"\u003eH200 NVL\u003c\/span\u003e\u003c\/strong\u003e\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP64 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e34 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e30 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP64 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eFP32 Performance\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e67 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e989 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e835 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,979 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eFP8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,958 TFLOPS\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e141 GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003e4.8 TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5964px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003eDecoders\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 19.5964px; text-align: center;\"\u003e7 × NVDEC, 7 × JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eConfidential Computing\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eMax TDP\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 700 W (configurable)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eUp to 600 W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eMulti-Instance GPU (MIG)\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 18 GB each\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eUp to 7 MIGs @ 16.5 GB each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1797px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003eSXM\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1797px; text-align: center;\"\u003ePCIe, dual-slot air-cooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.3724px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eInterconnect\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003eNVIDIA NVLink™: 900 GB\/s\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 78.3724px; text-align: center;\"\u003e2- or 4-way NVLink bridge: 900 GB\/s per GPU\u003cbr\u003ePCIe Gen5: 128 GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9818px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eServer Options\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA HGX™ H200 partner systems\u003cbr\u003eNVIDIA-Certified™ systems with 4 or 8 GPUs\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 97.9818px; text-align: center;\"\u003eNVIDIA MGX™ H200 NVL partner systems\u003cbr\u003eNVIDIA-Certified™ systems with up to 8 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1927px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eNVIDIA AI Enterprise\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eAdd-on\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; height: 39.1927px; text-align: center;\"\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eResources\u003c\/h2\u003e\n\u003ctable style=\"border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eDatasheet\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/hpc-datasheet-sc23-h200-datasheet-3002446.pdf?v=1765347919\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eH200 NVL Product Brief \u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; text-align: center;\"\u003e\u003ca rel=\"noopener\" href=\"https:\/\/developer.nvidia.com\/deep-learning-performance-training-inference?ncid=no-ncid\" target=\"_blank\"\u003e\u003cspan style=\"color: rgb(43, 0, 255);\"\u003e\u003cstrong\u003eData Center Product Performance\u003c\/strong\u003e\u003c\/span\u003e\u003c\/a\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":51148332663101,"sku":"H200","price":2949999.99,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/Gemini_Generated_Image_gxpdmygxpdmygxpd.png?v=1765349919"},{"product_id":"thinkrobotics-jetson-orin-nx-deployment-kit-commercial-version","title":"ThinkRobotics Jetson Orin NX Deployment Kit (Commercial Version)","description":"\u003cdiv class=\"document\"\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device with NVIDIA Jetson Orin™ NX 8GB \/ 16GB module\u003c\/h2\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThinkRobotics Edge AI Device is built with Jetson Orin NX 8GB or 16GB - a powerful and compact intelligent edge box to bring up to 100 TOPS modern AI performance to the edge, which offers up to 5X the performance of Jetson Xavier NX and up to 3X the performance of Jetson AGX Xavier. Combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, Orin NX integrates advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\" style=\"text-align: center;\"\u003eThe full system includes one NVIDIA Jetson Orin™ NX 8GB or 16GB production module, \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board carrier board, a \u003ca href=\"https:\/\/thinkrobotics.com\/products\/official-cooling-fan-for-jetson-orin-online\" target=\"_blank\"\u003eheatsink\u003c\/a\u003e, RTL8822CE Wireless NIC - Wi-Fi, a power adapter installed in a 3D printed carbon fiber case or a metal case.\u003c\/strong\u003e The device is preinstalled with JetPack 6.2 on the included 240GB NVMe SSD, simplifies development, and fits for deployment for edge AI solution providers working in video analytics, object detection, natural language processing, medical imaging, and robotics across industries of smart cities, security, industrial automation, smart factories.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eFeatures\u003cstrong\u003e\u003c\/strong\u003e\n\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eAI Performance\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eBrilliant AI performance for production with on-device processing delivering up to 100 TOPS AI performance with low power consumption and low latency.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCompact Edge AI Device\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eHand-size edge AI device with compact dimensions of 130mm × 120mm × 58.5mm. Includes NVIDIA Jetson Orin™ NX 16GB production module, cooling fan with heatsink, enclosure, and power adapter. Supports desktop and wall mounting for flexible deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eExpandable I\/O\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eExpandable with rich I\/Os (Waveshare SBC2152): 4 × USB 3.2 Type-A, 1 × USB Type-C (system burning), DisplayPort for 4K output, RJ45 Gigabit Ethernet, 2 × 4-Lane CSI, M.2 Key E, 2 × M.2 Key M (for NVMe SSDs), and 40-Pin GPIO.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eSoftware \u0026amp; Development\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eAccelerate solution deployment with pre-installed JetPack including NVIDIA JetPack™ 5.1 on the bundled 240GB NVMe SSD. Includes Linux OS BSP and supports Jetson software, leading AI frameworks, and development platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003e\u003cstrong\u003eCertifications\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center;\"\u003eComprehensive certifications including FCC, CE, and RoHS compliance.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDescription\u003c\/h2\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eWith rich extension modules, industrial peripherals, and thermal management, the Edge AI Device with the Waveshare SBC2152 carrier board is ready to help you accelerate and scale the next-gen AI product by deploying popular DNN models and ML frameworks to the edge and inferencing with high performance, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP).\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003eThe \u003cstrong\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/strong\u003e provides almost the same peripheral interfaces, size and thickness as the official Jetson Orin Nano Developer Kit, making it ideal for users to develop and deploy their AI applications.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eGuides and resources are available to get started with NVIDIA Jetson using leading AI frameworks and software. For example, with \u003ca href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" target=\"_blank\"\u003eDeepstream and TensorRT\u003c\/a\u003e, developers can deploy custom YOLOv5 models on Jetson Orin at over 100FPS\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.13 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eDevelopers Tools\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003ePre-installed Jetpack for fast development and edge AI integration\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\" target=\"_blank\"\u003eJetson software stack\u003c\/a\u003e begins with NVIDIA JetPack™ SDK which provides a full development environment and includes CUDA-X accelerated libraries and other NVIDIA technologies to kickstart your development. JetPack includes the Jetson Linux Driver package which provides the Linux kernel, bootloader, NVIDIA drivers, flashing utilities, sample filesystem, and toolchains for the Jetson platform. It also includes security features, over-the-air update capabilities, and much more.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eComputer Vision and embedded machine learning\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 450.656px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA DeepStream SDK\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA DeepStream SDK provides a complete streaming analytics toolkit for AI-based multi-sensor processing, enabling video and image understanding on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eNVIDIA TAO Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eNVIDIA TAO Toolkit, built on TensorFlow and PyTorch, offers a low-code framework that accelerates AI model training and optimization for deployment on edge devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003ealwaysAI\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003ealwaysAI enables developers to build, train, and deploy computer vision applications directly at the edge of reComputer devices. It provides access to 100+ pre-trained computer vision models and supports cloud-based training of custom AI models through enterprise subscription.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eEdge Impulse\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eEdge Impulse provides an embedded machine learning pipeline for deploying audio processing, classification, and object detection applications at the edge with zero dependency on the cloud.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eRoboflow\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eRoboflow offers tools to convert raw images into custom-trained computer vision models for object detection and classification, and deploy them for use in applications on NVIDIA Jetson devices.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003e\u003cstrong\u003eYOLOv5 (Ultralytics)\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 58.7812px;\"\u003eYOLOv5 by Ultralytics supports transfer learning for few-shot object detection, allowing models to be trained using a small number of samples for rapid deployment.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003e\u003cstrong\u003eDeci\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); height: 39.1875px; text-align: center;\"\u003eDeci provides tools to benchmark and optimize AI model runtime performance on NVIDIA Jetson platforms such as Jetson Nano and Xavier NX.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp style=\"text-align: center;\" class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eSpeech AI\u003c\/h3\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e\u003ca href=\"https:\/\/developer.nvidia.com\/riva\" target=\"_blank\"\u003eNVIDIA® Riva\u003c\/a\u003e is a GPU-accelerated SDK for building Speech AI applications that are customized for your use case and deliver real-time performance.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"document\" style=\"text-align: center;\"\u003eRemote Fleet Management\u003c\/h3\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003eEnable secure OTA and remote device management with \u003ca href=\"https:\/\/www.allxon.com\/\" target=\"_blank\"\u003eAllxon\u003c\/a\u003e. Unlock 90 days free trial with code H4U-NMW-CPK.\u003c\/p\u003e\n\u003cp dir=\"ltr\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\" style=\"text-align: center;\"\u003eRobot and ROS Development\u003c\/h3\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 215.531px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003ePlatform \/ Toolkit\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 39.1875px;\"\u003e\u003cstrong\u003eDescription\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003e\u003cstrong\u003eNVIDIA Isaac ROS GEMs\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 78.375px;\"\u003eNVIDIA Isaac ROS GEMs are hardware-accelerated packages designed to help ROS developers build high-performance robotic solutions on NVIDIA hardware. These packages provide optimized algorithms and tools to accelerate perception, navigation, and robotics workflows on NVIDIA Jetson platforms.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 97.9688px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003e\u003cstrong\u003eCogniteam Nimbus\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; height: 97.9688px;\"\u003eCogniteam Nimbus is a cloud-based platform that enables developers to manage and deploy autonomous robots efficiently. The Nimbus platform supports NVIDIA® Jetson™ devices and NVIDIA ISAAC SDK and GEMs out-of-the-box, allowing seamless integration between robotics applications and cloud infrastructure.\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cdiv class=\"document\" style=\"text-align: center;\"\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"document\"\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-7.5pt\"\u003e   \u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch2 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eHardware Overview\u003c\/h2\u003e\n\u003ch3 class=\"paragraph text-align-type-left pap-line-1.7 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003eWaveshare Jetson Orin Nano\/NX Development Board\u003c\/h3\u003e\n\u003cp\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/JETSON-ORIN-IO-BASE-details-13.jpg?v=1773381468\" alt=\"\"\u003e\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eThe Waveshare carrier board for Jetson Orin Nano\/NX provides a comprehensive set of interfaces, offering a robust platform for edge AI development. It is compatible with both the Jetson Orin Nano and Jetson Orin NX modules. Key features include:\u003c\/p\u003e\n\u003ctable style=\"border-collapse: collapse; width: 98.75%; height: 800px; margin-left: auto; margin-right: auto;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e1. 260PIN DO-DIMM socket\u003c\/strong\u003e\u003cbr\u003eFor connecting Jetson Orin Nano\/NX module\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e9. USB Type-C port\u003c\/strong\u003e\u003cbr\u003eFor system burning and data communication\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 78.375px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e2. 12PIN header\u003c\/strong\u003e\u003cbr\u003eAdapting pins for power supply, reset button, force recovery setting, serial port debug, auto power-up enable, and power indicator functions\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 78.375px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e10. 40PIN header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e3. Power button\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\u003cstrong\u003e11. 4PIN PWM fan header\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e4. 2 × 22PIN CSI camera interfaces\u003c\/strong\u003e\u003cbr\u003e2 × MIPI CSI 4-lane camera interfaces\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e12. M.2 Key E\u003c\/strong\u003e\u003cbr\u003eFor connecting wireless NIC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e5. DC Power jack\u003c\/strong\u003e\u003cbr\u003eSupports wide range 9V–19V power supply, compatible with 5.5 × 2.5 mm male plug\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e13. 2 × M.2 Key M\u003c\/strong\u003e\u003cbr\u003eFor connecting NVMe solid state drives\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e6. HDMI display interface\u003c\/strong\u003e\u003cbr\u003eHDMI output\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 39.1875px; width: 47.9354%; text-align: center;\"\u003e\n\u003cstrong\u003e14. RTC backup battery header\u003c\/strong\u003e\u003cbr\u003ePH1.25 2PIN\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\n\u003cstrong\u003e7. 4 × USB 3.2 Gen2 Type-A ports\u003c\/strong\u003e\u003cbr\u003eSupports up to 10 Gbps data transmission\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 52.0646%; text-align: center;\"\u003e\u003cstrong\u003e8. RJ45 Gigabit Ethernet port\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); padding: 8px; vertical-align: top; height: 58.7812px; width: 47.9354%;\"\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003eTake advantage of the small form factor, sensor-rich interfaces, and big performance to bring new capabilities to all your embedded AI and edge systems.\u003c\/p\u003e\n\u003cp class=\"paragraph text-align-type-left pap-line-1.3 pap-line-rule-auto pap-spacing-before-3pt pap-spacing-after-3pt\"\u003e \u003c\/p\u003e\n\u003ch2\u003ePart List\u003c\/h2\u003e\n\u003ctable style=\"width: 100%; border-collapse: collapse; height: 137.157px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eNVIDIA Jetson Orin™ NX \u003cspan style=\"color: rgb(0, 0, 0);\"\u003e\u003cstrong\u003e16GB \/ 8GB\u003c\/strong\u003e\u003c\/span\u003e\n\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWaveshare Carrier Board\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e240GB NVMe SSD\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eAluminum Heatsinks with Fan\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e3D Printed Case \/ Aluminium Case\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003eWi-Fi Module with Antenna\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 19.5938px;\"\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 52.0631%; height: 19.5938px;\"\u003e12V \/ 5A Power Adapter\u003c\/td\u003e\n\u003ctd style=\"border: 1px solid rgb(0, 0, 0); text-align: center; width: 47.9369%; height: 19.5938px;\"\u003ex1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e \u003c\/h2\u003e\n\u003ch2\u003eFAQ\u003c\/h2\u003e\n\u003ch3\u003eWhat type of RTC is recommended for RTC socket?\u003c\/h3\u003e\n\u003cp\u003eThe Waveshare SBC2152 provides an RTC backup battery header. CR1220 and ML1220 batteries are typically compatible for RTC backup.\u003c\/p\u003e\n\u003cp style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"text-align: center;\"\u003eDocumentations\u003ca href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J401x-datasheet.pdf\" target=\"_blank\"\u003e\u003c\/a\u003e\n\u003c\/h2\u003e\n\u003cdiv class=\"product documents-tab\"\u003e\n\u003cdiv class=\"value documents-info\"\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-8G-DEV-KIT\u003c\/a\u003e\u003c\/p\u003e\n\u003cp\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\"\u003ehttps:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/wiki\/JETSON-ORIN-NX-16G-DEV-KIT\" rel=\"noopener\" target=\"_blank\"\u003eKIT\u003c\/a\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"8GB \/ 3D Printed Plastic","offer_id":51153153392957,"sku":"SBC1149-8","price":102849.99,"currency_code":"INR","in_stock":true},{"title":"8GB \/ Aluminium","offer_id":51153153425725,"sku":"SBC1149-8A","price":106749.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ 3D Printed Plastic","offer_id":51153153458493,"sku":"SBC1149-16","price":143399.99,"currency_code":"INR","in_stock":true},{"title":"16GB \/ Aluminium","offer_id":51153153491261,"sku":"SBC1149-16A","price":146399.99,"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\u003eRM530N-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":125999.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 8GB","offer_id":51478529966397,"sku":"SBC1080-2","price":159049.99,"currency_code":"INR","in_stock":true},{"title":"with Orin NX 16GB","offer_id":51478530031933,"sku":"SBC1080-3","price":199349.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/5G-IOT-Hub-6.png?v=1773143508"},{"product_id":"raspberry-pi-official-10-1inch-capacitive-touch-display-2-ips-1200x1920","title":"Raspberry Pi Official 10.1inch Capacitive Touch Display 2 (IPS, 1200x1920)","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e4e4e4;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eRaspberry Pi 10.1\" Touch Display 2\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eDesigned by Raspberry Pi\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, front and back view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv\u003e\n\u003cul style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eSize\u003c\/span\u003e\u003cimg alt=\"size: 10.1inch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Dimension.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10.1\"\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eResolution\u003c\/span\u003e\u003cimg alt=\"resolution: 1200 × 1920\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Resolution.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e1200 × 1920\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Interface\u003c\/span\u003e\u003cimg alt=\"display interface: DSI\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/mipi.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eDSI\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eDisplay Panel\u003c\/span\u003e\u003cimg alt=\"Display Panel: IPS\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/IPS.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eIPS\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eViewing Angle\u003c\/span\u003e\u003cimg alt=\"Viewing_angle: 170°\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Viewing_angle.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e170°\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Type\u003c\/span\u003e\u003cimg alt=\"Touch_type: Capacitive\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Capacitive_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eCapacitive\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Points\u003c\/span\u003e\u003cimg alt=\"Touch Points: 10-Point\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Five_touch.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e10-Point\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eTouch Interface\u003c\/span\u003e\u003cimg alt=\"touch_interface: I2C\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/I2C.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003eI2C\u003c\/span\u003e\n\u003c\/li\u003e\n\u003cli style=\"flex: 1; min-width: 120px; max-width: 200px; text-align: center; list-style: none;\"\u003e\n\u003cspan class=\"igKey\"\u003eBrightness\u003c\/span\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/250\/Brightness.png\" style=\"max-width: 100%; width: 100%; height: auto; display: block;\"\u003e\u003cspan class=\"igValue\"\u003e400cd\/㎡\u003c\/span\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv class=\"sep0px\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cul id=\"IconGrid\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start; list-style: none; padding: 0; margin: 12px 0;\"\u003e\u003c\/ul\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #dadada;\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eProduct Introduction\u003c\/h2\u003e\n\u003cdiv class=\"alignl pdTRBL2\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003e10.1inch Raspberry Pi Touch Display 2\u003c\/strong\u003e is a 10.1inch touchscreen display for Raspberry Pi. Featuring an IPS display panel with a 1200 × 1920 resolution and 10-point capacitive touch support, it provides a smooth and convenient human-machine interaction experience for Raspberry Pi projects.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eThe display connects to the Raspberry Pi via the MIPI DSI interface and is powered through the GPIO header, offering a simple and reliable connection. When used with Raspberry Pi OS, the display supports touch functionality and an on‑screen keyboard, without requiring additional drivers or complex configuration.\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eWith a large display area and flexible touch interaction, it is suitable for various applications such as smart home control panels, information display terminals, self-service kiosks, and robot interaction interfaces.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, connecting with Pi5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the above controller boards or hosts are NOT included.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDevice \u0026amp; System Support\u003c\/h2\u003e\n\u003cbr\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-img4txt6\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cimg alt=\"Supports Raspberry Pi 5 \/ CM5 \/ CM4\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/CM5_CM4_Pi5_440.jpg\" style=\"display: block; height: auto; margin: 5px auto; flex: 1; min-width: 250px; max-width: 400px;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cdiv class=\"largerBlock\"\u003eRaspberry Pi 5 \/ CM5 \/ CM4\u003c\/div\u003e\n\u003cp style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eSupports Raspberry Pi OS, 10-point touch\u003c\/p\u003e\n\u003cp class=\"noteBg\" style=\"font-size: clamp(14px,2vw,16px); font-weight: 400; line-height: 1.7; margin: 10px 0; color: #555; text-align: left; word-wrap: break-word;\"\u003eNote: CM4 only supports 4-lane DSI on DSI1. When using this display, a CM4 baseboard that supports 4-lane DSI is also required for proper operation. Some baseboards with a 15pin DSI connector may not be compatible.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eConnection Examples\u003c\/h2\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Raspberry Pi 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"hilitBlock2 richDesc\" style=\"color: #ffffff; font-weight: bold; font-size: clamp(15px,3vw,18px); text-align: center; display: block; padding: 15px; word-wrap: break-word; background: #ce224e;\"\u003eWorking with Compute Module 5\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, working with Compute Module 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-7.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background: #e6e6e6;\"\u003e\n\u003cp class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"color: #ce224e;\"\u003eHow to install\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, how to install\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word;\"\u003ePlease connect the DSI cable as shown above, and power the LCD through the GPIO 5V pin\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(171, 171, 171); overflow-wrap: break-word;\"\u003e\u003cspan style=\"color: rgb(128, 128, 128);\"\u003e* for reference only, the Raspberry Pi boards above are NOT included.\u003c\/span\u003e\u003c\/p\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eIPS Display Panel\u003c\/h2\u003e\n\u003cp class=\"pdTRBL\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eExcellent Display Performance With 170° Wide Viewing Angle\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, adopts IPS display panel\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-11.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003e10-Point Capacitive Touch\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003eup to 10-point touch, depending on the operating system\u003c\/p\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, supports 10-point capacitive touch\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eInterface Introduction\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, interface introduction\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-15.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\" style=\"color: #ce224e;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"color: rgb(206, 34, 78); text-align: center;\"\u003eDimensions\u003c\/h2\u003e\n\u003cimg alt=\"Official Raspberry Pi 10.1inch Capacitive Touch Display, outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-details-size-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003cem\u003e\u003c\/em\u003e\u003c\/span\u003e\u003cem style=\"text-align: center;\"\u003e\u003ca class=\"wikilink\" href=\"https:\/\/docs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\" target=\"_blank\"\u003edocs.waveshare.com\/10.1inch_Raspberry_Pi_Touch_Display_2\u003c\/a\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e10.1inch Raspberry Pi Touch Display 2 x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003e22PIN to 22PIN FPC cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eGPIO cable x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eScrews pack x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cimg alt=\"10.1inch Raspberry Pi Touch Display 2\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/10.1inch-Raspberry-Pi-Touch-Display-2\/10.1inch-Raspberry-Pi-Touch-Display-2-pack.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"sep0px\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.603 kg\u003c\/span\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52929036845373,"sku":"WVSH0642","price":87949.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/10.1inch-raspberry-pi-touch-display-2-1.jpg?v=1787736499"},{"product_id":"ov4689-4mp-usb-camera-a-92-fov-type-c-sh1-0-4pin-header","title":"OV4689 4MP USB Camera (A) - 92° FOV, Type-C, SH1.0 4PIN header","description":"\u003cdiv class=\"tab-section tab-pane active\" id=\"tab-description\"\u003e\n\u003cdiv class=\"std\"\u003e\n\u003cdiv class=\"richWrap\"\u003e\n\u003cdiv class=\"pdT\" style=\"text-align: center; padding: clamp(8px,2vw,15px); font-size: clamp(13px,2vw,16px); font-weight: 600; box-sizing: border-box; background-color: #dde0e5;\"\u003e\n\u003ch2 class=\"richTitle textUpper\"\u003e\u003cspan style=\"color: rgb(89, 162, 16);\"\u003eOV4689 4MP USB camera\u003c\/span\u003e\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 sensor | USB 2.0 Type-C port | 92° distortion-free lens\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), front view\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-1.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eSpecifications\u003c\/h2\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\n\u003ctable class=\"tabSty-2 mgnTB subBlock alignc\" style=\"min-width: 600px; border-collapse: collapse; width: 100%;\"\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\" width=\"18%\"\u003ePixels\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e4MP\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eSensor\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eOV4689\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eInterface\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eUSB2.0 Type-C port \/ SH1.0 4PIN header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"6\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eCamera\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\" width=\"22%\"\u003eSensor size\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e1\/3 inch\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eAperture (F)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.7\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocal length (EFL)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2.88mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eField of view (FOV)\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e92°\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eDistortion\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e\u0026lt;-0.2%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFocusing\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFixed-focus\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eMount\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eM12\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth rowspan=\"3\" style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eImage\u003c\/th\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eFormat support\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG, YUY2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eStatic image resolution\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e2688 × 1520\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eVideo recording\u003c\/td\u003e\n\u003ctd style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003eMJPG:\u003cbr\u003e30 FPS 2688 × 1520\u003cbr\u003e30 FPS 2560 × 1440\u003cbr\u003e60 FPS 1920 × 1080\u003cbr\u003e60 FPS 1280 × 720\u003cbr\u003e60 FPS 640 × 480\u003cbr\u003eYUY2:\u003cbr\u003e2 FPS 2688 × 1520\u003cbr\u003e2 FPS 2560 × 1440\u003cbr\u003e5 FPS 1920 × 1080\u003cbr\u003e10 FPS 1280 × 720\u003cbr\u003e30 FPS 640 × 480\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eOperating voltage\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e5V ± 5%\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eoperating temperature\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e-10°C ~ 60°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003cth style=\"background: rgb(52, 73, 94); color: rgb(255, 255, 255); padding: 10px 12px; border: 1px solid rgb(85, 85, 85); font-weight: 600; white-space: nowrap; font-size: clamp(12px, 1.8vw, 14px); text-align: center;\"\u003eModule size\u003c\/th\u003e\n\u003ctd colspan=\"2\" style=\"padding: 8px 12px; border: 1px solid rgb(204, 204, 204); font-size: clamp(12px, 1.8vw, 14px); overflow-wrap: break-word; text-align: center;\"\u003e25.00 × 25.00 (mm)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003e4MP High resolution\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eSupports 60 FPS output, suitable for capturing details\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), supports 4MP high resolution\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-3.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eBetter Low-light sensitivity\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eOV4689 adopts Backside-Illuminated (BSI) technology, providing better imaging effect in low light condition\u003c\/strong\u003e\u003c\/p\u003e\n\u003cbr\u003e\u003cimg alt=\"OV4689 4MP USB Camera (A), adopts distortion-free lens\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-5.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cp class=\"richTitle\" style=\"text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePlug and Play, Easy Connection\u003c\/h2\u003e\n\u003cp class=\"richDesc\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; padding: 0px 3em; text-align: center;\"\u003e\u003cstrong\u003eOnboard USB 2.0 port, driver-free, compatible with various USB hosts such as PC and smart devices, simply plug it in to start using\u003c\/strong\u003e\u003c\/p\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A) connected to computer for shooting\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-9.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, please refer to the package content for the detailed part list.\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"pdT\"\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch3 class=\"richTitle\" style=\"text-align: center;\"\u003eConnecting with USB cable\u003c\/h3\u003e\n\u003cdiv class=\"richGridWrap richGridWrap-3c richGridWrap-valignTop mgnTB\" style=\"display: flex; flex-wrap: wrap; gap: 15px; justify-content: center; align-items: flex-start;\"\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), connecting to Raspberry Pi 5\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-1.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Raspberry Pi 5\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to Jetson Orin kit\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-2.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to Jetson Orin kit\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"flex: 1; min-width: 250px; max-width: 400px; text-align: center;\"\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), Connecting to RDK X5 Development Board\" class=\"round1234\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-7-3.jpg\" style=\"max-width: 100%; width: 100%; height: auto; display: block; border: 1px solid #ccc; padding: 5px;\"\u003e\n\u003ch3 style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eConnecting to RDK X5 Development Board\u003c\/strong\u003e\u003c\/h3\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cp class=\"note\" style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cspan style=\"color: rgb(255, 42, 0);\"\u003e\u003cem\u003e* for reference only, the \u003ca href=\"\/raspberry-pi-5.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRaspberry Pi 5\u003c\/a\u003e, \u003ca href=\"\/jetson-orin-nx-16g-dev-kit.htm\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eJetson Orin kit\u003c\/a\u003e and \u003ca href=\"\/rdk-x5.htm?sku=28741\" style=\"color: rgb(255, 42, 0);\" target=\"_blank\"\u003eRDK X5 Development Board\u003c\/a\u003e are NOT included\u003c\/em\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003ePinout Definition\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), pinout definition\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-13.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eOutline Dimensions\u003c\/h2\u003e\n\u003cimg alt=\"OV4689 4MP USB Camera (A), outline dimensions\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-details-size.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"richTitle\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"richTitle\" style=\"text-align: center;\"\u003eResources \u0026amp; Services\u003c\/h2\u003e\n\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e\n\u003cdiv class=\"bgGrey\" style=\"text-align: center;\"\u003e\n\u003cstrong\u003eWiki: \u003c\/strong\u003e\u003cem\u003e\u003cspan style=\"text-decoration: underline;\"\u003e\u003ca class=\"wikilink\" href=\"http:\/\/docs.waveshare.com\/OV4689-4MP-USB-Camera-A\" target=\"_blank\"\u003edocs.waveshare.com\/OV4689-4MP-USB-Camera-A\u003c\/a\u003e\u003c\/span\u003e\u003c\/em\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv style=\"overflow-x: auto; -webkit-overflow-scrolling: touch; width: 100%; margin: 12px 0;\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"tab-section tab-pane\" id=\"tab-package_content\"\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e\u003cstrong\u003eWeight: \u003c\/strong\u003e\u003cspan\u003e0.015 kg\u003c\/span\u003e\u003c\/p\u003e\n\u003cp style=\"font-size: clamp(14px, 2vw, 16px); font-weight: 400; line-height: 1.7; margin: 10px 0px; color: rgb(85, 85, 85); overflow-wrap: break-word; text-align: center;\"\u003e \u003c\/p\u003e\n\u003ch2 style=\"font-size: clamp(18px,4vw,30px); color: #2c3e50; font-weight: bold; margin: 24px 0 14px; text-align: center; border-bottom: 3px solid #3498db; padding-bottom: 8px; line-height: 1.3;\"\u003ePackage Content\u003c\/h2\u003e\n\u003cdiv class=\"std\"\u003e\n\u003col style=\"padding-left: clamp(15px,4vw,25px); margin: 12px 0; width: 100%; box-sizing: border-box;\"\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eOV4689 4MP USB Camera (A) x1\u003c\/li\u003e\n\u003cli style=\"font-size: clamp(13px,2vw,15px); font-weight: 400; margin: 6px 0; line-height: 1.6; text-align: left; word-wrap: break-word;\"\u003eSH1.0 4PIN dual plug cable x1\u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cdiv class=\"imgTextWrap\" style=\"display: flex !important; flex-wrap: wrap !important; gap: 15px !important; justify-content: center !important; align-items: center !important; margin: 10px 0 !important;\"\u003e\n\u003cdiv\u003e1 \u003ca href=\"\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1.jpg\"\u003e \u003cimg alt=\"OV4689 4MP USB Camera (A)\" src=\"https:\/\/www.waveshare.com\/img\/devkit\/accBoard\/OV4689-4MP-USB-Camera-A\/OV4689-4MP-USB-Camera-A-1_220.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003cdiv\u003e2 \u003ca href=\"\/img\/devkit\/general\/4PIN_dual_cable.jpg\"\u003e \u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/4PIN_dual_cable_93.jpg\" style=\"display: block; margin: 20px auto; max-width: 100%; height: auto;\"\u003e \u003c\/a\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e","brand":"Waveshare","offers":[{"title":"Default Title","offer_id":52935278985533,"sku":"WVSH0649","price":2249.99,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/files\/ov4689-4mp-usb-camera-a-1.jpg?v=1787812512"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0014\/4313\/5560\/collections\/NVIDIA_Jetson_Banner_v2_2x_b1cc213c-879e-495e-b2fd-7daf6077a7a0.jpg?v=1746871105","url":"https:\/\/thinkrobotics.com\/collections\/nvidia-jetson.oembed?page=3","provider":"ThinkRobotics.com","version":"1.0","type":"link"}