{"product_id":"recomputer-j1020-v2-iot-edge-ai-computer-w-jetpack","title":"reComputer J1020 V2 - IoT Edge AI Computer w\/ Jetpack","description":"\u003cp\u003e\n The reComputer J1020 v2 is a compact edge AI box that is perfect for your next AI application development and deployment. It is built with the Jetson Nano module, which has 128 NVIDIA CUDA cores that deliver 0.5 TFLOPs (FP16) of performance. This allows you to run AI frameworks and models for applications such as image classification, object detection, segmentation, and speech processing.\n\u003c\/p\u003e\n\u003cp\u003e\n The reComputer J1020 v2 comes with a pre-installed NVIDIA Jetpack, which includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, and more. It also has a rich set of I\/Os, including GPIO, CSI, Gigabit Ethernet, 4x USB 3.0 Type A, and an onboard 16 GB eMMC. The device is housed in an aluminum case with a passive heatsink and is ready to be used right out of the box.\n\u003c\/p\u003e\n\u003cp\u003e\n This intelligent edge box is ideal for solution providers working in industries such as smart cities, security, industrial automation, and smart factories. It can be used for applications such as video analytics, object detection, natural language processing, and medical imaging. It is also a great choice for AI beginners looking to get started with deep learning, as it comes with access to NVIDIA's Deep Learning Institute (DLI), which provides practical, hands-on training and certification.\n\u003c\/p\u003e\n\u003cp\u003e\n In addition, Unmanned Tech shop offers outstanding after sales service and fast shipping, so you can trust that you'll be well taken care of when you purchase the reComputer J1020 v2.\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-599730\" height=\"1002\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/Jetson-10-1-H0_3644eda7-062b-42e8-9c88-f34f0bd01ca2.jpg?v=1754257720\" width=\"1512\"\u003e\n\u003c\/p\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\u003e\n   NVIDIA Jetson Nano Dev Kit alternative\n  \u003c\/strong\u003e\n  : hand-size Edge AI device built with Jetson Nano 4GB Production Module, the carrier board brings extensive I\/Os: GPIO, CSI, Gigabit Ethernet, 4 x USB 3.0 Type A, onboard 16 GB eMMC, Please check\n  \u003ca href=\"https:\/\/wiki.seeedstudio.com\/reComputer_Jetson_Memory_Expansion\/#expansion-via-m2-slot-on-carrier-board-and-ssd\"\u003e\n   here\n  \u003c\/a\u003e\n  for SSD storage expansion.\n \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\u003e\n   128 NVIDIA CUDA® cores deliver 0.5 TFLOPs (FP16)\n  \u003c\/strong\u003e\n  to run AI frameworks and models for applications like image classification, object detection, segmentation, and speech processing.\n \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\u003e\n   Pre-installed NVIDIA Jetpack\n  \u003c\/strong\u003e\n  , JetPack SDK includes a board support package (BSP), Linux OS, NVIDIA CUDA, cuDNN, and TensorRT software libraries for deep learning, computer vision, GPU computing, multimedia processing, etc.\n \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\u003e\n   Support the entire\n  \u003c\/strong\u003e\n  \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/software\"\u003e\n   Jetson software stack\n  \u003c\/a\u003e\n  and various\n  \u003ca href=\"https:\/\/wiki.seeedstudio.com\/Jetson-AI-developer-tools\/\"\u003e\n   developer tools\n  \u003c\/a\u003e\n  for building fast and robust AI applications provided by Seeed Edge AI partners.\n \u003c\/li\u003e\n\u003c\/ul\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\n Compare NVIDIA Jetson Nano Dev Kit B01 with reComputer J10 series\n\u003c\/h2\u003e\n\u003ctable data-style=\"width: 50%;\"\u003e\n \u003ccolgroup\u003e\n  \u003ccol width=\"48px\"\u003e\n  \u003ccol width=\"162px\"\u003e\n  \u003ccol width=\"204px\"\u003e\n  \u003ccol width=\"135px\"\u003e\n \u003c\/colgroup\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Product\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     \u003ca href=\"https:\/\/www.seeedstudio.com\/Jetson-10-1-A0-p-5336.html\" rel=\"noopener\" target=\"_blank\"\u003e\n      reComputer J1010\n     \u003c\/a\u003e\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     reComputer J1020 v2\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     \u003ca href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Nano-Development-Kit-B01-p-4437.html\" rel=\"noopener\" target=\"_blank\"\u003e\n      NVIDIA Jetson Nano Developer Kit-B01\n     \u003c\/a\u003e\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Module\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"2\" rowspan=\"1\" valign=\"middle\" width=\"366\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     Jetson Nano 4GB (production version)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     Nano (not production version)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Storage\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"2\" rowspan=\"1\" valign=\"middle\" width=\"366\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     16 GB eMMC\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     MicroSD (Card not included)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     SD Card Slot\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     Included (On the carrier board)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     -\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     Included (On the module)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Video Encoder\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"2\" rowspan=\"1\" valign=\"middle\" width=\"366\"\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\n     4K30 | 2x1080p60 | 4x1080p30 | 4x720p60 | 9x720p30\n    \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\"\u003e\n     (H.265 \u0026amp; H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     4Kp30 | 4x 1080p30 | 9x 720p30 (H.264\/H.265)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Video Decoder\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"2\" rowspan=\"1\" valign=\"middle\" width=\"366\"\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\n     4K60 | 2x 4K30 | 4x 1080p60 | 8x 1080p30 | 9x 720p60\n    \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\"\u003e\n     (H.265 \u0026amp; H.264)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     4Kp60 | 2x 4Kp30 | 8x 1080p30 | 18x 720p30 (H.264\/H.265)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Gigabit Ethernet\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"3\" rowspan=\"1\" valign=\"middle\" width=\"501\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     USB\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     1 * USB 3.0 Type A;\n    \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\"\u003e\n     2 * USB 2.0 Type A;\n    \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\"\u003e\n     1 * USB Type C for device mode;\n    \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\"\u003e\n     1 * USB Type C for 5V power input\n    \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\"\u003e\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     4 * USB 3.0 Type-A ；\n    \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\"\u003e\n     1 * Type C port for device mode;\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     4 * USB 3.0 Type-A;\n    \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\"\u003e\n     1 * Micro-USB port for 5V power input or for device mode\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     CSI Camera Connect\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"3\" rowspan=\"1\" valign=\"middle\" width=\"501\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Display\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     1*HDMI Type A\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     1*HDMI Type A;\n    \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\"\u003e\n     1*DP\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     1*HDMI Type A;\n    \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\"\u003e\n     1*DP\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     FAN\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"3\" rowspan=\"1\" valign=\"middle\" width=\"501\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     1* FAN Connector (5V PWM)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     M.2 KEY E\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     1*M.2 Key E\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     1*M.2 Key E (Disabled)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     1*M.2 Key E\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     M.2 KEY M\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     -\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     1*M.2 Key M\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     -\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     RTC\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     1*RTC Socket\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     1*RTC Socket\n    \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\"\u003e\n     1*RTC 2-pin\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     -\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Multifunctional port\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"3\" rowspan=\"1\" valign=\"middle\" width=\"501\"\u003e\n    \u003cp class=\"paragraph text-align-type-center pap-line-1 pap-line-rule-auto pap-spacing-before-0pt pap-spacing-after-0pt\"\u003e\n     1* 40-Pin header\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Power Supply\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     USB-Type C 5V⎓3A\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     DC Jack 12V\/2A\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     DC Jack 5V⎓4A；\n    \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\"\u003e\n     Micro-USB 5V⎓2A\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"48\"\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\n     Mechanical\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"162\"\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\n     130 mm x 120 mm x 50 mm (with case)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"204\"\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\n     130mm x120mm x 50mm (with case)\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n   \u003ctd align=\"\" colspan=\"1\" rowspan=\"1\" valign=\"middle\" width=\"135\"\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\n     100 mm x 80 mm x 29 mm\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\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_4c0e35c9-e1d1-43f5-ba15-b2d23716e745.png?v=1754257722\" width=\"605\"\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n The reComputer J1020 v2 is a powerful and compact intelligent edge box that is ideal for a variety of AI applications. Some possible applications include:\n\u003c\/p\u003e\n\u003col\u003e\n \u003cli\u003e\n  Video analytics: The device can be used to perform real-time video analysis for applications such as surveillance, traffic monitoring, and event detection.\n \u003c\/li\u003e\n \u003cli\u003e\n  Object detection: The device can be used to detect and classify objects in images or video streams, enabling applications such as automated inspection, inventory management, and quality control.\n \u003c\/li\u003e\n \u003cli\u003e\n  Natural language processing: The device can be used to process and analyze text data, enabling applications such as voice recognition, language translation, and sentiment analysis.\n \u003c\/li\u003e\n \u003cli\u003e\n  Medical imaging: The device can be used to analyze medical images such as CT scans and MRI scans, enabling applications such as diagnosis and treatment planning.\n \u003c\/li\u003e\n \u003cli\u003e\n  Robotics: The device can be used to enable autonomous robots to perceive and understand their environment, enabling applications such as navigation and manipulation.\n \u003c\/li\u003e\n\u003c\/ol\u003e\n\u003cp\u003e\n These are just a few examples of the many possible applications of the reComputer J1020 v2. Its powerful AI capabilities make it suitable for a wide range of use cases, including those in the areas of smart cities, security, industrial automation, and smart factories.\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 The Seeed reference carrier board for the J1020 v2 is a high-performance carrier board that is compatible with the NVIDIA Jetson Nano. It offers a range of interfaces, including HDMI 2.0, Gigabit Ethernet, USB 3.0, CSI camera, GPIO, I2C, I2S, and more, making it a versatile and functional choice for your AI application development needs. It is nearly identical in design to the Jetson Nano Developer Kit, making it easy to use and integrate into your project.\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-650551\" height=\"600\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/MTY4ODg1NTkyNTI4NTE1NA_604579_ixRBr-hwo5hG_1q__1665383131.png?v=1754257725\" style=\"font-size: 14.4px;\" width=\"1200\"\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n \u003cimg alt=\"\" class=\"alignnone size-full wp-image-650552\" height=\"800\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0914\/9972\/5181\/files\/MTY4ODg1NTkyNTI4NTE1NA_988901_lTpzUHcdU_Ow98jg_1665381239.png?v=1754257728\" width=\"1200\"\u003e\n\u003c\/p\u003e\n\u003ch3\u003e\n\u003c\/h3\u003e\n\u003ch2\u003e\n Desktop, Wall Mount, or fit in anywhere\n\u003c\/h2\u003e\n\u003cp\u003e\n With an overall dimension of 130mm*120mm*50mm, it is only around 1\/10 of the size of an ordinary computer case which makes it possible to fit in edge AI scenarios. The back screw holes allow you to hang the product as you need. We also provide other editions case like blue, silver and silver mental, whose stackable structure allows you to stack more middle layers to create rooms very easily.\n\u003c\/p\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_9e2e4653-77f4-4cc1-9f53-3b9f2ad07cab.png?v=1754257729\" 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 data-style=\"font-weight: 400;\"\u003e\n Computer Vision and embedded machine learning\n\u003c\/h2\u003e\n\u003cul data-style=\"font-weight: 400;\"\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/github.com\/Seeed-Studio\/node-red-contrib-ml\" rel=\"noopener\" target=\"_blank\"\u003e\n   Edge AI no code Vision tool,\n  \u003c\/a\u003e\n  Seeed latest open-source project for deploying AI application within 3 nodes.\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/developer.nvidia.com\/deepstream-sdk\" rel=\"noopener\" target=\"_blank\"\u003e\n   NVIDIA DeepStream SDK\n  \u003c\/a\u003e\n  delivers a complete streaming analytics toolkit for AI-based multi-sensor processing and video and image understanding on Jetson.\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/developer.nvidia.com\/tao-toolkit\" rel=\"noopener\" target=\"_blank\"\u003e\n   NVIDIA TAO tool kit\n  \u003c\/a\u003e\n  , built on TensorFlow and PyTorch, is a low-code version of the NVIDIA TAO framework that accelerates the model training\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/alwaysai.co\/blog\/getting-started-with-the-jetson-nano-using-alwaysai\" rel=\"noopener\" target=\"_blank\"\u003e\n   alwaysAI\n  \u003c\/a\u003e\n  : 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\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\" rel=\"noopener\" target=\"_blank\"\u003e\n   wiki\n  \u003c\/a\u003e\n  guide to get started with alwaysAI.\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/www.edgeimpulse.com\/\" rel=\"noopener\" target=\"_blank\"\u003e\n   Edge Impulse\n  \u003c\/a\u003e\n  : the easiest embedded machine learning pipeline for deploying audio, classification, and object detection applications at the edge with zero dependencies on the cloud.\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/blog.roboflow.com\/deploy-to-nvidia-jetson\/\" rel=\"noopener\" target=\"_blank\"\u003e\n   Roboflow\n  \u003c\/a\u003e\n  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\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/docs.roboflow.com\/inference\/nvidia-jetson\" rel=\"noopener\" target=\"_blank\"\u003e\n   full documentation\n  \u003c\/a\u003e\n  for deploying to NVIDIA Jetson with Roboflow.\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/github.com\/ultralytics\/yolov5\" rel=\"noopener\" target=\"_blank\"\u003e\n   YOLOv5 by Ultralytics\n  \u003c\/a\u003e\n  : use transfer learning to realize few-shot object detection with YOLOv5 which needs only a very few training samples. See our step-by-step\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/wiki.seeedstudio.com\/YOLOv5-Object-Detection-Jetson\/\" rel=\"noopener\" target=\"_blank\"\u003e\n   wiki\n  \u003c\/a\u003e\n  tutorials\n \u003c\/li\u003e\n \u003cli data-style=\"font-style: inherit; font-weight: inherit;\"\u003e\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/deci.ai\/blog\/jetson-machine-learning-inference\/\" rel=\"noopener\" target=\"_blank\"\u003e\n   Deci\n  \u003c\/a\u003e\n  : optimize your models on NVIDIA Jetson Nano. Check the\n  \u003ca data-style=\"font-style: inherit; font-weight: inherit;\" href=\"https:\/\/info.deci.ai\/benchmark-optimize-runtime-performance-nvidia-jetson\" rel=\"noopener\" target=\"_blank\"\u003e\n   webinar\n  \u003c\/a\u003e\n  at Deci of Automatically Benchmark and Optimize Runtime Performance on NVIDIA Jetson Nano and Xavier NX Devices\n \u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003e\n Specifications\n\u003c\/h2\u003e\n\u003cp\u003e\n Module Technical Specifications\n\u003c\/p\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    GPU\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    CPU\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    Quad-core ARM® Cortex®-A57 MPCore processor\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    Memory\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    4 GB 64-bit LPDDR4\n    \u003cp\u003e\n     1600MHz - 25.6 GB\/s\n    \u003c\/p\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    Storage\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    16 GB eMMC 5.1 Flash\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    Video Encode\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    Video Decode\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    Camera\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    Connectivity\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    M.2 Key M\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"421\"\u003e\n    10\/100\/1000 BASE-T Ethernet\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    Display\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    UPHY\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    I\/O\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\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=\"160\"\u003e\n    Size\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    69.6 mm x 45 mm\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"160\"\u003e\n    Mechanical\n   \u003c\/td\u003e\n   \u003ctd width=\"421\"\u003e\n    260-pin edge connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n \u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e\n\u003c\/p\u003e\n\u003cp\u003e\n Carrier Board Technical Specifications\n\u003c\/p\u003e\n\u003ctable\u003e\n \u003ctbody\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    Jetson-10-1-H0\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-nano-developer-kit\"\u003e\n     NVIDIA Jetson Nano Developer Kit | NVIDIA Developer\n    \u003c\/a\u003e\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Jetson module connector\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Jetson SODIMM connector, 260-pin\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    USB 3.0 Type A\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    4*USB 3.0 Type-A Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    4*USB 3.0 Type-A Connector\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    USB Micro Type B\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*USB Micro B, RA Female\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*USB Micro B, RA Female\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Ethernet Port\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*RJ45 Gigabit Ethernet Connector (10\/100\/1000)\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Display Port\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*HDMI type A and 1*DP\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*HDMI type A and 1*DP\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    CSI Camera Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    2*CSI Camera (15 pos, 1mm pitch, MIPI CSI-2 )\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\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 width=\"113\"\u003e\n    M.2 Key E\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    Disabled\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\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=\"113\"\u003e\n    M.2 Key M\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*M.2 Key M Slot (75-pin) NVME 2280\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    \\\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Multifunctional Port\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    2.0 Pitch 40 PIN\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Button Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    FAN Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*Picoblade Header\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    CAN\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    Diasabled\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    \\\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    RTC\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*RTC Back-up Coin Cell Socket (CR1220)\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    Reserved\n   \u003c\/td\u003e\n  \u003c\/tr\u003e\n  \u003ctr\u003e\n   \u003ctd width=\"113\"\u003e\n    Power\n   \u003c\/td\u003e\n   \u003ctd width=\"244\"\u003e\n    1*DC Input Power TE Connector\n   \u003c\/td\u003e\n   \u003ctd width=\"246\"\u003e\n    1*DC Input Power TE 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\u003cp\u003e\n 1 x 12V\/2A  Power Adapter (with 5 interchangeable adapter plugs）\n\u003c\/p\u003e\n","brand":"Unmanned Tech","offers":[{"title":"Default Title","offer_id":54201787384072,"sku":"110061441","price":259.95,"currency_code":"GBP","in_stock":false}],"url":"https:\/\/bidnamic.store\/products\/recomputer-j1020-v2-iot-edge-ai-computer-w-jetpack","provider":"Bidnamic Store","version":"1.0","type":"link"}