{"product_id":"recomputer-j3011-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb","title":"reComputer J3011 - Edge AI Computer with NVIDIA® Jetson™ Orin™ Nano 8GB","description":"\u003cdiv data-page-id=\"OF8fdIhkLowYQExTxGBl8nWRgfh\" data-lark-html-role=\"root\" data-docx-has-block-data=\"false\"\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-MGjXdN4t0oJaePxd4YFlkhJ0gqf\"\u003e\u003cstrong\u003eDescription:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-YJJydJmfXolRlaxkeuylmkP2g6c\"\u003eThe \u003cstrong\u003ereComputer J3011 \u003c\/strong\u003eis a powerful and compact edge AI device with NVIDIA® Jetson Orin™ Nano SoM, pre-built Jetpack 5.1.1 (super with JP6.2), 128GB SSD, 4x USB 3.2, HDMI, GbE, carrier board also includes M.2 key E for WIFI, M.2 Key M for SSD, RTC, CAN, 40-pin and more.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-AvwtdLIr6oQMwjx5Wsulw4U5goe\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-AvwtdLIr6oQMwjx5Wsulw4U5goe\"\u003eThe reComputer J3011 is equipped with the same NVIDIA Jetson Orin Nano 8GB production module. You can perform a self-upgrade to Jetpack 6.2. Once upgraded, you'll instantly experience a significant boost in computing power, with the performance leaping from 40 TOPS to 67 TOPS, offering capabilities comparable to those of the NVIDIA Jetson Orin Nano Super Developer Kit. For optimal performance with reComputer, we recommend using 128GB \/ 256GB \/ 512GB \/ 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions, which may cause the device to fail to function properly, and this issue is also present with official NVIDIA dev kits.\u003c\/div\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-JNvgd1XXbotmZOxqtUQlgS6Wgvg\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-JNvgd1XXbotmZOxqtUQlgS6Wgvg\"\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-LM4cdhQBdoCRWgxx7Fql2tS4g9e\"\u003e\n\u003cstrong\u003eProcessing: \u003c\/strong\u003ePowered by the NVIDIA Jetson Orin Nano with 8GB of RAM.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ISvIdWrwroiOicx1hSZlUyHygBg\"\u003e\n\u003cstrong\u003eAI Performance:\u003c\/strong\u003e Offers 40 TOPS (Tera Operations Per Second) of AI performance, which can be boosted to 67 TOPS by flashing JP6.2 (JetPack 6.2).\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-SUHmdyIEWo6HY0xsR7LldZROg4b\"\u003e\n\u003cstrong\u003eWide Range Operation Temperature:\u003c\/strong\u003e Designed to operate in temperatures from -10°C to 60°C.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-QqAFdgsoQoEY9exASUbl89D4grh\"\u003e\n\u003cstrong\u003ePower Efficient:\u003c\/strong\u003e Consumes between 7W - 15W.\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-YmxbdRxVbouQWBxFj9NloR2EgKb\"\u003e\n\u003cstrong\u003eOpen Source Hardware:\u003c\/strong\u003e Commitment to flexibility and community-driven development.\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-page-id=\"OF8fdIhkLowYQExTxGBl8nWRgfh\" data-lark-html-role=\"root\" data-docx-has-block-data=\"true\"\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-JNvgd1XXbotmZOxqtUQlgS6Wgvg\"\u003e\n\u003cstrong\u003e\u003c\/strong\u003e\u003cbr\u003e\n\u003c\/h2\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"12d32025-cb44-4267-9c42-5353b40eab04\",\"height\":1200,\"width\":744,\"currHeight\":1200,\"currWidth\":744,\"natrualHeight\":1200,\"natrualWidth\":744,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FHVgsbA87vokb5RxM4jblwgs0gyd%2F%3Fpreview_type%3D16\",\"file_token\":\"HVgsbA87vokb5RxM4jblwgs0gyd\",\"image_type\":\"image\/png\",\"size\":589677,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-RD3odU7lpovrVlxOO7sltpvAgFh\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/upload\/reComputer_J3011_feature.png\" alt=\"○Brilliant AI Performance for Production: Achieves up to 40 TOPS AI performance with low power and latency, built by NVIDIA Orin SoC combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators. ○Hand-Size Edge AI Device: Compact size at 130mm x120mm x 58.5mm, featuring an NVIDIA Jetson Orin Nano 8GB module, J401 carrier board, enclosure, and power adapter. Support desktop and wall mounting. ○Expandable with Rich I\/Os: Includes 4x USB 3.2, HDMI 2.1, 2x CSI, 1x RJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. ○Accelerate Solutions to Market: Pre-installed JetPack 5.1.1 on 128GB NVMe SSD, Linux OS BSP, supporting Jetson software and leading AI frameworks.  ○Scale to Deploy: support OTA, remote management services powered by Allxon and Balena.  ○Flexible Customization: inlcudes changing accessories modules, logo, and hardware interfaces modification based on reComputer J3011 original design.\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-IoW4dptLToEc1uxoIqJl4mSGg0b\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-IoW4dptLToEc1uxoIqJl4mSGg0b\"\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-KE0Jd0eOVo8IDdxLrQYlNiEXg9e\"\u003e\u003cstrong\u003eJetson Orin Nano System on Module\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-VNyKd6GFZoxPXcxt4helcNA6ggw\"\u003e\n\u003cstrong\u003eAI Performance:\u003c\/strong\u003e up to 67 TOPS\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-AgH6dFohkoQJuXx8l0zl7plTgLd\"\u003e\n\u003cstrong\u003eGPU:\u003c\/strong\u003e 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores (Orin Nano 8GB)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-DHrLdlDBLoP16Ux54WGlCJwpgKc\"\u003e\n\u003cstrong\u003eCPU:\u003c\/strong\u003e 6-core Arm® Cortex®-A78AE v8.2 64-bit CPU 1.5MB L2 + 4MB L3\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ULPfdiNytonNfOx3SvslZGJGgSe\"\u003e\n\u003cstrong\u003eMemory:\u003c\/strong\u003e 8GB 128-bit LPDDR5 68 GB\/s (Orin Nano 8GB)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-J62cdrLeooTyHJxmhwLliz0Egod\"\u003e\n\u003cstrong\u003eVideo Encoder: \u003c\/strong\u003e1080p30 supported by 1-2 CPU cores\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CB1YdBjI5oqqMBxZ1vYlAS6LgZc\"\u003e\n\u003cstrong\u003eVideo Decoder:\u003c\/strong\u003e 1x 4K60 (H.265) | 2x 4K30 (H.265) | 5x 1080p60 (H.265) | 11x 1080p30 (H.265)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-P7SudSAhgo8xG0xH2zjlNIAEgBg\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-BBgtditxPoGzggxFrAyldI7xgee\"\u003e\u003cstrong\u003eCarrier Board\u003c\/strong\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-LBN6d6TaaoeqfmxVHB5l8uORgkf\"\u003e\n\u003cstrong\u003eStorage: \u003c\/strong\u003e1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G included)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CRdUdg8gRoOPoUxcTCll7uAhgYb\"\u003e\n\u003cstrong\u003eEthernet:\u003c\/strong\u003e 1x RJ-45 Gigabit Ethernet (10\/100\/1000M)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Mhc4dWj2uoMvmaxPYaxlwfCVgtf\"\u003e\n\u003cstrong\u003eM.2 KEY E: \u003c\/strong\u003e1x M.2 Key E(pre-installed 1x Wi-Fi\/Bluetooth combo module)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-EuOKdNewKoUxqrxyjMel4rnPgyf\"\u003e\n\u003cstrong\u003eUSB: \u003c\/strong\u003e4x USB 3.2 Type-A (10Gbps), 1x USB2.0 Type-C (Device Mode)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-KsNZdR9AgoTinhxADmClj1pKg3I\"\u003e\n\u003cstrong\u003eCamera:\u003c\/strong\u003e 2x CSI (2-lane 15pin)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-LHAZd4HGqoibFIxSwcolk2Gngeg\"\u003e\n\u003cstrong\u003eDisplay:\u003c\/strong\u003e 1x HDMI 2.1\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Fsizd10y9o1WRbxqvnBlvB6pg5f\"\u003e\n\u003cstrong\u003eFan:\u003c\/strong\u003e 1x 4 pin Fan Connector (5V PWM)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-F4UXd82qLo8ECOxXyWulna4Pgfd\"\u003e\n\u003cstrong\u003eCAN:\u003c\/strong\u003e 1x CAN\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ZzfJdp1yKomyPoxtYnXlPhsCgMe\"\u003e\n\u003cstrong\u003eMultifunctional Port:\u003c\/strong\u003e 1x 40-Pin Expansion header; 1x 12-Pin Control and UART header\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-MqHNdMWPwoJ9JUxxX1VlrbZUgmg\"\u003e\n\u003cstrong\u003eRTC: \u003c\/strong\u003e1x RTC 2-pin, supports CR1220 but not included\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-CoPQdEmfio0QJ1xbUi9liBFTgZE\"\u003e\n\u003cstrong\u003ePower:\u003c\/strong\u003e 9-19V DC\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Uc4ndsA1koeL2xxv6gHl5gRPgre\"\u003e\n\u003cstrong\u003eDimensions (W x D x H):\u003c\/strong\u003e 130mm x 120mm x 58.5mm (with case)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-XahCdHXSBoRVaRxhvlBlG0bgg4e\"\u003e\n\u003cstrong\u003eInstallation:\u003c\/strong\u003e Desk, wall-mounting\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-U3tud2p5AoQ0TSxncmjlRyLVg8e\"\u003e\n\u003cstrong\u003eOperating Temperature:\u003c\/strong\u003e -10℃~60℃\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-QmtnducPvomCL9xCF9jlM2QYg1d\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-VkYOdporLo8EaHxdFL1lw562gHh\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-VkYOdporLo8EaHxdFL1lw562gHh\"\u003e\u003cstrong\u003eHardware Overview:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv data-docx-has-block-data=\"false\" data-lark-html-role=\"root\" data-page-id=\"OF8fdIhkLowYQExTxGBl8nWRgfh\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Ev5rdsbdkoNzsaxKzwPlx66XgOd\"\u003e\n\u003cstrong\u003ereComputer J401 carrier board\u003c\/strong\u003e\u003cstrong\u003e, included in the full system - reComputer J3011\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"6cdedc48-1000-43ee-98a5-55b84a818174\",\"height\":1200,\"width\":1119,\"currHeight\":1200,\"currWidth\":1119,\"natrualHeight\":1200,\"natrualWidth\":1119,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FIfRUbQSLBoCZHDxfAqplz9jAgUK%2F%3Fpreview_type%3D16\",\"file_token\":\"IfRUbQSLBoCZHDxfAqplz9jAgUK\",\"image_type\":\"image\/png\",\"size\":1063216,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-DraBd2uTrohZ1XxVYiMlLRkRgOg\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/2_20.png\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"560b8037-dbbd-4532-aef5-f766061cb7d8\",\"height\":1200,\"width\":1799,\"currHeight\":1200,\"currWidth\":1799,\"natrualHeight\":1200,\"natrualWidth\":1799,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FKg6xbg1iSocWwbxDpzclgEaHgQg%2F%3Fpreview_type%3D16\",\"file_token\":\"Kg6xbg1iSocWwbxDpzclgEaHgQg\",\"image_type\":\"image\/png\",\"size\":681761,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-LXoPdMVuno2WCkxIUrzl3YUWgte\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"560b8037-dbbd-4532-aef5-f766061cb7d8\",\"height\":1200,\"width\":1799,\"currHeight\":1200,\"currWidth\":1799,\"natrualHeight\":1200,\"natrualWidth\":1799,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FKg6xbg1iSocWwbxDpzclgEaHgQg%2F%3Fpreview_type%3D16\",\"file_token\":\"Kg6xbg1iSocWwbxDpzclgEaHgQg\",\"image_type\":\"image\/png\",\"size\":681761,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-LXoPdMVuno2WCkxIUrzl3YUWgte\"\u003e\n\u003cmeta charset=\"utf-8\"\u003e\n\u003cdiv data-docx-has-block-data=\"false\" data-lark-html-role=\"root\" data-page-id=\"OF8fdIhkLowYQExTxGBl8nWRgfh\"\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-JSn4dXZAIod4obxczgGl8Kx8grc\"\u003e\u003cstrong\u003eDesktop, Wall Mount, Expandable, or Fit Anywhere\u003c\/strong\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cspan class=\"lark-record-clipboard\" data-lark-record-format=\"docx\/text\" data-lark-record-data='{\"rootId\":\"OF8fdIhkLowYQExTxGBl8nWRgfh\",\"text\":{\"initialAttributedTexts\":{\"text\":{\"0\":\"Desktop, Wall Mount, Expandable, or Fit Anywhere\"},\"attribs\":{\"0\":\"*1*0+1c\"}},\"apool\":{\"numToAttrib\":{\"0\":[\"bold\",\"true\"],\"1\":[\"author\",\"7467364180442497055\"]},\"nextNum\":2}},\"type\":\"text\",\"referenceRecordMap\":{},\"extra\":{\"channel\":\"saas\",\"isEqualBlockSelection\":true,\"pasteRandomId\":\"b8e7b639-f4b7-4265-8dbd-a24b97665891\",\"mention_page_title\":{},\"external_mention_url\":{}},\"isKeepQuoteContainer\":false,\"isFromCode\":false,\"selection\":[{\"id\":4077,\"type\":\"text\",\"selection\":{\"start\":0,\"end\":48},\"recordId\":\"JSn4dXZAIod4obxczgGl8Kx8grc\"}],\"payloadMap\":{},\"isCut\":false}'\u003e\u003c\/span\u003e\n\u003c\/div\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"347273ce-efb4-4e08-8096-eba88b7ea25a\",\"height\":290,\"width\":386,\"currHeight\":290,\"currWidth\":386,\"natrualHeight\":290,\"natrualWidth\":386,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FPPkzbFYHFo5dIWxU4VGlUBuPgOc%2F%3Fpreview_type%3D16\",\"file_token\":\"PPkzbFYHFo5dIWxU4VGlUBuPgOc\",\"image_type\":\"image\/png\",\"size\":59537,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-QGcMdG2YmoGhPMx3GVBlMCplg6b\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/3.jpeg\"\u003e\u003c\/div\u003e\n\u003cdiv data-type=\"image\" data-ace-gallery-json='{\"items\":[{\"uuid\":\"347273ce-efb4-4e08-8096-eba88b7ea25a\",\"height\":290,\"width\":386,\"currHeight\":290,\"currWidth\":386,\"natrualHeight\":290,\"natrualWidth\":386,\"pluginName\":\"imageUpload\",\"scale\":1,\"src\":\"https%3A%2F%2Finternal-api-drive-stream-sg.larksuite.com%2Fspace%2Fapi%2Fbox%2Fstream%2Fdownload%2Fpreview%2FPPkzbFYHFo5dIWxU4VGlUBuPgOc%2F%3Fpreview_type%3D16\",\"file_token\":\"PPkzbFYHFo5dIWxU4VGlUBuPgOc\",\"image_type\":\"image\/png\",\"size\":59537,\"comments\":[]}]}' class=\"image-uploaded gallery old-record-id-QGcMdG2YmoGhPMx3GVBlMCplg6b\"\u003e\u003cimg src=\"https:\/\/media-cdn.seeedstudio.com\/media\/wysiwyg\/4_14.png\" style=\"display: block; margin-left: auto; margin-right: auto;\"\u003e\u003c\/div\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-NdAhdHED6o1ZJdxrJlsl59vZgbg\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-NdAhdHED6o1ZJdxrJlsl59vZgbg\"\u003e\u003cstrong\u003eApplication:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli class=\"ace-line ace-line old-record-id-LZD9ddLDBobMdnx6vH2l9WoMgzg\"\u003eAI Video Analytics\u003c\/li\u003e\n\u003cli class=\"ace-line ace-line old-record-id-J7yxdPIfconjKhxxCFKlVqa0gpf\"\u003eMachine Vision\u003c\/li\u003e\n\u003cli class=\"ace-line ace-line old-record-id-D6bjd9JRMo6PGvx6hC0l2BOjg2f\"\u003eAutonomous Mobile Robot (AMR)\u003c\/li\u003e\n\u003cli class=\"ace-line ace-line old-record-id-SDJudImTMoSpsKx9ZeOlyIfcgyf\"\u003eGenerative AI\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-WOwbd0AMJoMvcjxVJuNlT17xgmx\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-WOwbd0AMJoMvcjxVJuNlT17xgmx\"\u003e\u003cstrong\u003eDocuments:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-K4LGd4U9FoRm4HxsUmPljdxHgRI\"\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/reComputer-J301x-datasheet.pdf\"\u003ereComputer J301x Datasheet\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ICUJdfajeopEQ8xIqCllFcD1grg\"\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/files.seeedstudio.com\/products\/NVIDIA\/NVIDIA-Jetson-Devices-and-carrier-boards-comparision.pdf\"\u003eNVIDIA Jetson Devices and carrier boards comparisions\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-W50IdPXVdona7dxHVFpljRj5g3d\"\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/files.seeedstudio.com\/wiki\/J401\/reComputer_J401_SCH_V1.0.pdf\"\u003ereComputer J401 schematic design file\u003c\/a\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ZO3cdMeFqo7WgjxM9Bwl361SgBh\"\u003e\u003ca data-lark-is-custom=\"true\" href=\"https:\/\/files.seeedstudio.com\/wiki\/reComputer-J4012\/reComputer-J4012.stp\"\u003ereComputer J3011 3D file\u003c\/a\u003e\u003c\/div\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-NcEpdyp7MoIyO9xn70vlpUUpgDg\"\u003e\u003cbr\u003e\u003c\/h2\u003e\n\u003ch2 class=\"heading-2 ace-line old-record-id-NcEpdyp7MoIyO9xn70vlpUUpgDg\"\u003e\u003cstrong\u003ePart List:\u003c\/strong\u003e\u003c\/h2\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-ICEMdfiPiourR7xBjfblMN1kgIg\"\u003e1x reComputer J3011 (System Installed)\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-TNSCdKFDWo3f80xUHknlwy3rgxg\"\u003e1x 12V\/5A (Barrel Jack 5.5\/2.5mm) Power Adapter \u003cstrong\u003e(Power cord not included)\u003c\/strong\u003e\n\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-IjZqd5YijoQv8NxUPbClrIlLgSc\"\u003e\u003cbr\u003e\u003c\/div\u003e\n\u003cdiv class=\"ace-line ace-line old-record-id-Kx5bdqYQSoTyEzxRWRVlDQAzgAs\"\u003e\n\u003cstrong\u003eNote: \u003c\/strong\u003ePlease note that the product comes with a power adapter, but does not include an AC cloverleaf power cord. Kindly purchase the appropriate AC cloverleaf power cord based on your local power socket specifications.\u003c\/div\u003e\n\u003c\/div\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":44301032489151,"sku":"MLE07294","price":54999.0,"currency_code":"PHP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0531\/3419\/6927\/files\/MLE07294.jpg?v=1750839864","url":"https:\/\/makerlab.ph\/products\/recomputer-j3011-edge-ai-computer-with-nvidia-jetson-orin-nano-8gb","provider":"Makerlab PH","version":"1.0","type":"link"}