{"product_id":"recomputer-j1010-sl4","title":"reComputer J1010 [SL4]","description":"\u003cp\u003e\n \u003cspan style=\"font-weight: 400;\"\u003e\n  reComputer Jetson series are compact edge computers built with NVIDIA advanced AI embedded systems: Jetson-10 (Nano) and Jetson-20 (Xavier NX). With rich extension modules, industrial peripherals, thermal management combined with decades of Seeed's hardware expertise, reComputer Jetson is ready to help you accelerate and scale the next-gen AI product emerging diverse AI scenarios.\n \u003c\/span\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cspan style=\"font-weight: 400;\"\u003e\n  reComputer Jetson is compatible with the entire NVIDIA Jetson software stack, cloud-native workflows, industry-leading AI frameworks, helping deliver seamless AI integration.\n \u003c\/span\u003e\n\u003c\/p\u003e\n\u003ch2\u003e\n Features\n\u003c\/h2\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599691\" height=\"745\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Jetson-10-1-A0-1-1.jpg?v=1754235805\" width=\"1200\"\u003e\n\u003c\/p\u003e\n\u003cul\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Hand-size edge AI device with an overall dimension of 130mm*120mm*50mm, fits in everywhere.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Powered by the quad-core ARM® Cortex®-A57 MPCore processor.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   128-core NVIDIA Maxwell™ GPU with 128 NVIDIA CUDA® cores delivers 0.5 TFLOPs (FP16).\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Rich peripherals including Gigabit Ethernet port, USB 3.0 and USB 2.0 Type-A ports, HDMI port.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Pre-installed NVIDIA official JetPack software, ready for cloud native application.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Able to mount on the wall, mounting holes on the back.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Support wide range of AI application fast building with our ecosystem partners.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli aria-level=\"1\" style=\"font-weight: 400;\"\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Support Allxon to enable efficient remote hardware management services.\n  \u003c\/span\u003e\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003e\n \u003cb\u003e\n  Application: For next-gen autonomous machine\n \u003c\/b\u003e\n\u003c\/h3\u003e\n\u003cp\u003e\n \u003cspan style=\"font-weight: 400;\"\u003e\n  With edge AI developers can deploy machine learning models in solving demanding challenges for advanced robotics and autonomous machines in the fields:\n \u003c\/span\u003e\n\u003c\/p\u003e\n\u003cul\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Edge AI into the Wild: UAV, Drone, Wildlife protection, Agriculture\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Smart City: Traffic, Retail, Healthcare\n  \u003c\/span\u003e\n \u003c\/li\u003e\n \u003cli\u003e\n  \u003cspan style=\"font-weight: 400;\"\u003e\n   Industry 4.0: Manufacturing, Logistics, Deliver, Service\n  \u003c\/span\u003e\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599661\" height=\"237\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/next-gen-autonomous-machine.png?v=1754235808\" width=\"605\"\u003e\n\u003c\/p\u003e\n\u003ch3\u003e\n Power-efficient AI computer, compact rich I\/Os for Endless AI possibilities:\n\u003c\/h3\u003e\n\u003cp\u003e\n reComputer Jetson - 10 comes with Jetson Nano delivers 0.5 TFLOPs (FP16), making it ideal for high-performance compute and AI in embedded and edge systems. You get the performance of 128 NVIDIA CUDA® Cores, quad-Core ARM CPUs. Combined with over 25.6GB\/s of memory bandwidth, video encoded and decoded, these features make Jetson Nano the platform of choice to run multiple modern neural networks in parallel and process high-resolution data from multiple sensors simultaneously.\n\u003c\/p\u003e\n\u003cp\u003e\n Now, you can innovate at the edge with powerful and efficient AI, computer vision, and high-performance computing at just 5 to 10 watts.\n\u003c\/p\u003e\n\u003ch3\u003e\n Powerful reference carrier board:\n\u003c\/h3\u003e\n\u003cp\u003e\n Seeed reference carrier board for Jetson-10-1-A0 is a high-performance, interface rich NVIDIA Jetson Nano compatible carrier board, providing HDMI 2.0, Gigabit Ethernet, USB 3.0, USB 2.0, CSI camera, GPIO, I2C, I2S, fans, and other rich peripheral interfaces. It has nearly the same functional design and size as the carrier board of\n \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-nano-2gb-developer-kit\"\u003e\n  NVIDIA Jetson Nano 2GB Developer Kit | NVIDIA Developer\n \u003c\/a\u003e\n .\n\u003c\/p\u003e\n\u003cp\u003e\n 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.\n\u003c\/p\u003e\n\u003ch3\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599664\" height=\"398\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Recomputer-jetson-carrier-board_1bd3bb26-8009-40ed-8308-01736804a602.png?v=1754235810\" width=\"605\"\u003e\n\u003c\/h3\u003e\n\u003ch2\u003e\n Prebuild system for edge AI integration\n\u003c\/h2\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-599667\" height=\"340\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Jetson-stack_db2569f1-5b41-48a3-b57e-74a955f1284d.png?v=1754235813\" width=\"605\"\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n All NVIDIA® Jetson™ modules and developer kits are supported by the same software stack, enabling you to develop once and deploy everywhere. Jetson Software is designed to provide end-to-end acceleration for AI applications and accelerate your time to market. We bring the same powerful NVIDIA technologies that power data center and cloud deployments to the edge.\n\u003c\/p\u003e\n\u003cp\u003e\n NVIDIA JetPack includes NVIDIA Container Runtime with Docker integration, enabling GPU accelerated containerized applications on Jetson platform. Jetpack also brings support for NVIDIA Triton™ Inference Server to simplify the deployment of AI models at scale.\n\u003c\/p\u003e\n\u003ch2\u003e\n Comparison between Nano 2GB developer kit and Jetson-10-1-A0\n\u003c\/h2\u003e\n\u003cp\u003e\n Comparison between Nano 2GB developer kit and Jetson-10-1-A0：\n\u003c\/p\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    \u003cstrong\u003e\n     NVIDIA® Jetson Nano™ 2GB Developer Kit\n    \u003c\/strong\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    \u003cstrong\u003e\n     reComputer Jetson-10-1-A0\n    \u003c\/strong\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    Nano (not production version)\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    Nano (production version)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    472 GFLOPS\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    128-core NVIDIA Maxwell™\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    Quad-core ARM A57 @ 1.43 GHz\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    2GB 64-bit LPDDR4 25.6GB\/s\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    4GB 64-bit LPDDR4 25.6GB\/s\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    microSD (Card not included)\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    16 GB eMMC\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    4K30 | 2x1080p60 | 4x1080p30 |\n    \u003cp\u003e\n     4x720p60 | 9x720p30 (H.265 \u0026amp; H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60\n    \u003cp\u003e\n     (H.265 \u0026amp; H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    1 * USB 3.0 Type A Connector;\n    \u003cp\u003e\n     2 * USB 2.0 Type A Connector;\n    \u003c\/p\u003e\n    \u003cp\u003e\n     1 * Micro-USB port for Device mode;\n    \u003c\/p\u003e\n    \u003cp\u003e\n     1 * USB Type C for 5V power input\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    1 * USB 3.0 Type A Connector;\n    \u003cp\u003e\n     2 * USB 2.0 Type A Connector;\n    \u003c\/p\u003e\n    \u003cp\u003e\n     1 * USB Type C for Device mode;\n    \u003c\/p\u003e\n    \u003cp\u003e\n     1 * USB Type C for 5V power input\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    1*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    1*HDMI Type A\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    -\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    1* FAN(5V PWM)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    -\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    1*M.2 Key E\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    -\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    -\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    -\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    1*RTC Socket\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    1* 40-Pin header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd colspan=\"2\" width=\"653\"\u003e\n    USB-Type C 5V⎓3A；\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"307\"\u003e\n    100 mm x 80 mm x 29 mm\n   \u003c\/td\u003e\n   \u003ctd width=\"346\"\u003e\n    130 mm x 120 mm x 50 mm(with case)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\n Specifications\n\u003c\/h2\u003e\n\u003ch3\u003e\n Module Technical Specifications\n\u003c\/h3\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    GPU\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    NVIDIA Maxwell™ architecture with 128 NVIDIA CUDA® cores\n    \u003cp\u003e\n     0.5 TFLOPs (FP16)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    CPU\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    Quad-core ARM® Cortex®-A57 MPCore processor\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Memory\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    4 GB 64-bit LPDDR4 1600MHz - 25.6 GB\/s\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Storage\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    16 GB eMMC 5.1 Flash\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Video Encode\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    250 MP\/sec\n    \u003cp\u003e\n     1x 4K @ 30 (HEVC)\n    \u003c\/p\u003e\n    \u003cp\u003e\n     2x 1080p @ 60 (HEVC)\n    \u003c\/p\u003e\n    \u003cp\u003e\n     4x 1080p @ 30 (HEVC)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Video Decode\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    500 MP\/sec\n    \u003cp\u003e\n     1x 4K @ 60 (HEVC)\n    \u003c\/p\u003e\n    \u003cp\u003e\n     2x 4K @ 30 (HEVC)\n    \u003c\/p\u003e\n    \u003cp\u003e\n     4x 1080p @ 60 (HEVC)\n    \u003c\/p\u003e\n    \u003cp\u003e\n     8x 1080p @ 30 (HEVC)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Camera\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    12 lanes (3x4 or 4x2) MIPI CSI-2 DPHY 1.1 (18 Gbps)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd rowspan=\"2\" width=\"132\"\u003e\n    Connectivity\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    Wi-Fi requires external chip\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"395\"\u003e\n    10\/100\/1000 BASE-T Ethernet\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Display\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    HDMI 2.0 or DP1.2 | eDP 1.4 | DSI (1 x2) 2 simultaneous\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    UPHY\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    1 x1\/2\/4 PCIE, 1x USB 3.0, 3x USB 2.0\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    I\/O\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    1x SDIO \/ 2x SPI \/ 4x I2C \/ 2x I2S \/ GPIOs -\u0026gt; I2C, I2S\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Size\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    69.6 mm x 45 mm\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"132\"\u003e\n    Mechanical\n   \u003c\/td\u003e\n   \u003ctd width=\"395\"\u003e\n    260-pin edge connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch3\u003e\n Carrier Board Technical Specifications\n\u003c\/h3\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    Jetson-10-1-A0\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    NVIDIA Jetson Nano 2GB Developer Kit | NVIDIA Developer\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Jetson module connector\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    USB 3.0\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1 * USB 3.0 Type A Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    4 * USB 3.0 Type A Connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    USB 2.0\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    2 * USB 2.0 Type A Connector\n    \u003cp\u003e\n     1 * USB 2.0 Type C Connector\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1 * USB Micro B, RA Female\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Ethernet Port\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Display Port\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*HDMI Type A\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*HDMI Type A and 1*DP\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    CSI Camera Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    M.2 Key E\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*M.2 Key E Slot (75-pin) 2230\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*M.2 Key E Slot (75-pin) 2230\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    M.2 Key M\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Multifunctional Port\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    FAN Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    CAN\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Micro SD card\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    Reserved\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    RTC\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    Reserved\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    Reserved\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"129\"\u003e\n    Power\n   \u003c\/td\u003e\n   \u003ctd width=\"242\"\u003e\n    1* Type-C connector\n   \u003c\/td\u003e\n   \u003ctd width=\"240\"\u003e\n    1* Type-C connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003e\n Part List\n\u003c\/h2\u003e\n\u003cp\u003e\n 1 x Acrylic Cover\n\u003c\/p\u003e\n\u003cp\u003e\n 1 x Aluminium Frame\n\u003c\/p\u003e\n\u003cp\u003e\n 1 x Jetson Nano module\n\u003c\/p\u003e\n\u003cp\u003e\n 1 x Heatsink\n\u003c\/p\u003e\n\u003cp\u003e\n 1 x Carrier board\n\u003c\/p\u003e\n","brand":"Unmanned Tech","offers":[{"title":"Default Title","offer_id":53458497012059,"sku":"110061362","price":389.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0952\/3888\/1627\/files\/recomputer_jetson_front-14_1.jpg?v=1782580775","url":"https:\/\/trandnova.com\/es\/products\/recomputer-j1010-sl4","provider":"Trand Nova","version":"1.0","type":"link"}