{"id":8541626401108,"title":"Módulo NVIDIA Jetson TX2 NX","handle":"nvidia-jetson-tx2-nx","description":"\u003cdiv id=\"buildify\" class=\"buildify buildify-8541626401108\"\u003e\u003cdiv class=\"bdf-innr\"\u003e \u003cdiv class=\"bdf-s-wrp\"\u003e \u003csection data-id=\"ywqzfdc\" class=\"bdf-e bdf-e-ywqzfdc bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"awuaawd\" class=\"bdf-e bdf-e-awuaawd bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"lfuzqeo\" class=\"bdf-e bdf-e-lfuzqeo bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eNVIDIA JETSON TX2 NX\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"j30ku10\" class=\"bdf-e bdf-e-j30ku10 bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003eP\/N 900-13636-0010-000\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"uwgwdpp\" class=\"bdf-e bdf-e-uwgwdpp bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eJetson TX2 NX System-on-Module (SOM)\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"dzrjrze\" class=\"bdf-e bdf-e-dzrjrze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"jachcmk\" class=\"bdf-e bdf-e-jachcmk bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"ulccafn\" class=\"bdf-e bdf-e-ulccafn bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e4GB 128-bit LPDDR4\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e16 GB eMMC 5.1\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e10\/100\/1000 Base-T Ethernet\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"gtx-trans\" style=\"position: absolute; left: -81px; top: -14.002px;\"\u003e\u003cdiv class=\"gtx-trans-icon\"\u003e \u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003cdiv data-id=\"vegfcxn\" class=\"bdf-e bdf-e-vegfcxn bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e \u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eEspecificações Técnicas\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eDownloads\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-kfp0noq\" data-tab=\"1\"\u003e \u003csection data-id=\"kxfflkj\" class=\"bdf-e bdf-e-kxfflkj bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"qkyonbf\" class=\"bdf-e bdf-e-qkyonbf bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"heduntc\" class=\"bdf-e bdf-e-heduntc bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry level embedded and edge products. It provides up to 2.5X the performance of Jetson Nano, and shares form-factor and pin compatibility with Jetson Nano and Jetson Xavier NX.\u003c\/p\u003e\n\u003cp\u003eThe compact, power efficient Jetson TX2 NX system-on-module (SOM) is perfect for creating mass-market AI products in the fields of manufacturing, logistics, retail, service, agriculture, smart city, and healthcare and life sciences. Intelligent machine OEMs can now scale their product offerings with pin-compatible Jetson modules, while leveraging cloud native technologies to build, deploy, and manage the same software across all of them.\u003c\/p\u003e\n\u003cp\u003ePre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, provide a faster path to inference with optimized AI networks, while containerized deployments bring flexible and seamless updates.\u003c\/p\u003e\n\u003cp\u003eNVIDIA JetPack SDK enables development of AI applications for Jetson TX2 NX with accelerated libraries supporting all major AI frameworks, as well as computer vision, graphics, multimedia, and more. Together with the latest NVIDIA tools for application development and optimization, JetPack ensures fast time to market and reduced development costs.\u003c\/p\u003e\n\u003cp\u003eEase of development and speed of deployment—plus a unique combination of form-factor, performance, and power advantage—make Jetson TX2 NX the ideal mass-market AI product platform to get to market and continuously update over the lifetime of a product.\u003c\/p\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eEspecificações Técnicas\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-cfsb7j4\" data-tab=\"2\"\u003e \u003csection data-id=\"1ozxxlg\" class=\"bdf-e bdf-e-1ozxxlg bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"xm6dfnn\" class=\"bdf-e bdf-e-xm6dfnn bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"5p5zzu3\" class=\"bdf-e bdf-e-5p5zzu3 bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax GPU Freq\u003c\/td\u003e\n\u003ctd\u003e1.3GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e2.0GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e4GB 128-bit LPDDR451.2GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e7.5W | 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, Wi-Fi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Camera\u003c\/td\u003e\n\u003ctd\u003eUp to 5 cameras (12 via virtual channels)12 lanes MIPI CSI-2 (3x4 or 5x2)D-PHY 1.2 (up to 30Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e1x 4Kp60 | 3x 4Kp30 | 4x 1080p60 | 8x 1080p30 (H.265)1x 4Kp60 | 3x 4Kp30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e2x 4Kp60 | 4x 4Kp30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.01x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e10\/100\/1000 Base-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.01x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther IOs\u003c\/td\u003e\n\u003ctd\u003e1x SDIO | 2x SPI | 3x UART | 4x I2S | 4x I2C | 1x CAN | GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMechanical\u003c\/td\u003e\n\u003ctd\u003e45 mm x 69.6 mm 260 pin SO-DIMM edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eDownloads\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"3\"\u003e \u003csection data-id=\"gkncdjw\" class=\"bdf-e bdf-e-gkncdjw bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"jmazoxr\" class=\"bdf-e bdf-e-jmazoxr bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"rnmjjsw\" class=\"bdf-e bdf-e-rnmjjsw bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Jetson_TX2_NX_Datasheet.pdf?v=1695231162\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"ff3v58i\" class=\"bdf-e bdf-e-ff3v58i bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/downloads\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct Download\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"wnxmedk\" class=\"bdf-e bdf-e-wnxmedk bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct FAQ\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"7j4k7vo\" class=\"bdf-e bdf-e-7j4k7vo bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/tools\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTools\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"pt6hogd\" class=\"bdf-e bdf-e-pt6hogd bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/learn\/tutorials\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTutoriais\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e\u003c\/div\u003e","published_at":"2023-09-20T18:34:32+01:00","created_at":"2023-09-20T18:26:26+01:00","vendor":"NVIDIA","type":"Módulos NVIDIA","tags":[],"price":28900,"price_min":28900,"price_max":28900,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":46949245845844,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"900-13636-0010-000","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Módulo NVIDIA Jetson TX2 NX","public_title":null,"options":["Default Title"],"price":28900,"weight":1000,"compare_at_price":null,"inventory_quantity":0,"inventory_management":null,"inventory_policy":"deny","barcode":"900-13636-0010-000","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-2.jpg?v=1695230832","\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-3T.jpg?v=1695230832","\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-5T.jpg?v=1695230832","\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-4T.jpg?v=1695230826"],"featured_image":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-2.jpg?v=1695230832","options":["Title"],"media":[{"alt":null,"id":44426739056980,"position":1,"preview_image":{"aspect_ratio":1.0,"height":397,"width":397,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-2.jpg?v=1695230832"},"aspect_ratio":1.0,"height":397,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-2.jpg?v=1695230832","width":397},{"alt":null,"id":44426739089748,"position":2,"preview_image":{"aspect_ratio":1.0,"height":397,"width":397,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-3T.jpg?v=1695230832"},"aspect_ratio":1.0,"height":397,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-3T.jpg?v=1695230832","width":397},{"alt":null,"id":44426739024212,"position":3,"preview_image":{"aspect_ratio":1.0,"height":397,"width":397,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-5T.jpg?v=1695230832"},"aspect_ratio":1.0,"height":397,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-5T.jpg?v=1695230832","width":397},{"alt":null,"id":44426739122516,"position":4,"preview_image":{"aspect_ratio":1.0,"height":397,"width":397,"src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-4T.jpg?v=1695230826"},"aspect_ratio":1.0,"height":397,"media_type":"image","src":"\/\/guedeslopes.pt\/cdn\/shop\/files\/900-13636-0010-000-4T.jpg?v=1695230826","width":397}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cdiv id=\"buildify\" class=\"buildify buildify-8541626401108\"\u003e\u003cdiv class=\"bdf-innr\"\u003e \u003cdiv class=\"bdf-s-wrp\"\u003e \u003csection data-id=\"ywqzfdc\" class=\"bdf-e bdf-e-ywqzfdc bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-top-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"awuaawd\" class=\"bdf-e bdf-e-awuaawd bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"lfuzqeo\" class=\"bdf-e bdf-e-lfuzqeo bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eNVIDIA JETSON TX2 NX\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"j30ku10\" class=\"bdf-e bdf-e-j30ku10 bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003eP\/N 900-13636-0010-000\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"uwgwdpp\" class=\"bdf-e bdf-e-uwgwdpp bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-medium\"\u003eJetson TX2 NX System-on-Module (SOM)\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"dzrjrze\" class=\"bdf-e bdf-e-dzrjrze bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"jachcmk\" class=\"bdf-e bdf-e-jachcmk bdf-c bdf-c-s-100 bdf-inner-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"ulccafn\" class=\"bdf-e bdf-e-ulccafn bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cul\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e4GB 128-bit LPDDR4\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e16 GB eMMC 5.1\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e10\/100\/1000 Base-T Ethernet\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"gtx-trans\" style=\"position: absolute; left: -81px; top: -14.002px;\"\u003e\u003cdiv class=\"gtx-trans-icon\"\u003e \u003c\/div\u003e\u003c\/div\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003cdiv data-id=\"vegfcxn\" class=\"bdf-e bdf-e-vegfcxn bdf-tbs-v-horizontal bdf-w bdf-w-tabs\" data-el=\"tabs.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-tbs bdf-rcv-tb-w\" role=\"tablist\"\u003e \u003cdiv class=\"bdf-tbs-wrp\" role=\"tab\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"2\"\u003eEspecificações Técnicas\u003c\/div\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-dt-t\" data-tab=\"3\"\u003eDownloads\u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tbs-cnt-wrp bdf-rcv-tb-wrp\" role=\"tabpanel\"\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"1\"\u003eVista Rápida\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-kfp0noq\" data-tab=\"1\"\u003e \u003csection data-id=\"kxfflkj\" class=\"bdf-e bdf-e-kxfflkj bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"qkyonbf\" class=\"bdf-e bdf-e-qkyonbf bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"heduntc\" class=\"bdf-e bdf-e-heduntc bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\n\u003cp\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry level embedded and edge products. It provides up to 2.5X the performance of Jetson Nano, and shares form-factor and pin compatibility with Jetson Nano and Jetson Xavier NX.\u003c\/p\u003e\n\u003cp\u003eThe compact, power efficient Jetson TX2 NX system-on-module (SOM) is perfect for creating mass-market AI products in the fields of manufacturing, logistics, retail, service, agriculture, smart city, and healthcare and life sciences. Intelligent machine OEMs can now scale their product offerings with pin-compatible Jetson modules, while leveraging cloud native technologies to build, deploy, and manage the same software across all of them.\u003c\/p\u003e\n\u003cp\u003ePre-trained AI models from NVIDIA NGC, together with the NVIDIA Transfer Learning Toolkit, provide a faster path to inference with optimized AI networks, while containerized deployments bring flexible and seamless updates.\u003c\/p\u003e\n\u003cp\u003eNVIDIA JetPack SDK enables development of AI applications for Jetson TX2 NX with accelerated libraries supporting all major AI frameworks, as well as computer vision, graphics, multimedia, and more. Together with the latest NVIDIA tools for application development and optimization, JetPack ensures fast time to market and reduced development costs.\u003c\/p\u003e\n\u003cp\u003eEase of development and speed of deployment—plus a unique combination of form-factor, performance, and power advantage—make Jetson TX2 NX the ideal mass-market AI product platform to get to market and continuously update over the lifetime of a product.\u003c\/p\u003e\n\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"2\"\u003eEspecificações Técnicas\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-cfsb7j4\" data-tab=\"2\"\u003e \u003csection data-id=\"1ozxxlg\" class=\"bdf-e bdf-e-1ozxxlg bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"xm6dfnn\" class=\"bdf-e bdf-e-xm6dfnn bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"5p5zzu3\" class=\"bdf-e bdf-e-5p5zzu3 bdf-w bdf-w-text-editor\" data-el=\"text-editor.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-txt-edt bdf-clr\"\u003e\u003ctable\u003e\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMax GPU Freq\u003c\/td\u003e\n\u003ctd\u003e1.3GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Max Freq\u003c\/td\u003e\n\u003ctd\u003e2.0GHz\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e4GB 128-bit LPDDR451.2GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e16GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower\u003c\/td\u003e\n\u003ctd\u003e7.5W | 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet, Wi-Fi\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCSI Camera\u003c\/td\u003e\n\u003ctd\u003eUp to 5 cameras (12 via virtual channels)12 lanes MIPI CSI-2 (3x4 or 5x2)D-PHY 1.2 (up to 30Gbps)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Encode\u003c\/td\u003e\n\u003ctd\u003e1x 4Kp60 | 3x 4Kp30 | 4x 1080p60 | 8x 1080p30 (H.265)1x 4Kp60 | 3x 4Kp30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eVideo Decode\u003c\/td\u003e\n\u003ctd\u003e2x 4Kp60 | 4x 4Kp30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.01x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e10\/100\/1000 Base-T Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.01x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOther IOs\u003c\/td\u003e\n\u003ctd\u003e1x SDIO | 2x SPI | 3x UART | 4x I2S | 4x I2C | 1x CAN | GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMechanical\u003c\/td\u003e\n\u003ctd\u003e45 mm x 69.6 mm 260 pin SO-DIMM edge connector\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv class=\"bdf-tb\"\u003e \u003cdiv class=\"bdf-tb-t bdf-tb-ph-t\" data-tab=\"3\"\u003eDownloads\u003c\/div\u003e \u003cdiv class=\"bdf-rcv-tb-cnt bdf-tb-cnt bdf-s-wrp bdf-clr bdf-rptr-itm-y94g1tg\" data-tab=\"3\"\u003e \u003csection data-id=\"gkncdjw\" class=\"bdf-e bdf-e-gkncdjw bdf-s-boxed bdf-s-h-default bdf-s-h-default bdf-s bdf-inner-s\" data-el=\"section\"\u003e \u003cdiv class=\"bdf-ctr bdf-c-gap-default\"\u003e \u003cdiv class=\"bdf-r\"\u003e \u003cdiv data-id=\"jmazoxr\" class=\"bdf-e bdf-e-jmazoxr bdf-c bdf-c-s-100 bdf-top-c\" data-el=\"column\"\u003e \u003cdiv class=\"bdf-c-wrp bdf-e-ppl\"\u003e \u003cdiv class=\"bdf-w-wrp\"\u003e \u003cdiv data-id=\"rnmjjsw\" class=\"bdf-e bdf-e-rnmjjsw bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1913\/0443\/files\/Jetson_TX2_NX_Datasheet.pdf?v=1695231162\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eDatasheet\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"ff3v58i\" class=\"bdf-e bdf-e-ff3v58i bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/downloads\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct Download\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"wnxmedk\" class=\"bdf-e bdf-e-wnxmedk bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/forums.developer.nvidia.com\/c\/agx-autonomous-machines\/jetson-embedded-systems\/70\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eProduct FAQ\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"7j4k7vo\" class=\"bdf-e bdf-e-7j4k7vo bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/tools\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTools\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"pt6hogd\" class=\"bdf-e bdf-e-pt6hogd bdf-w bdf-w-button\" data-el=\"button.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-btn-wrp\"\u003e \u003ca href=\"https:\/\/developer.nvidia.com\/embedded\/learn\/tutorials\" class=\"bdf-btn-link bdf-btn bdf-sz-md\" target=\"_blank\"\u003e \u003cspan class=\"bdf-btn-cnt-wrp\"\u003e \u003cspan class=\"bdf-aln-icon-right bdf-btn-icon\"\u003e \u003ci class=\"fa fa-angle-right\"\u003e\u003c\/i\u003e \u003c\/span\u003e \u003cspan class=\"bdf-btn-text\"\u003eTutoriais\u003c\/span\u003e \u003c\/span\u003e \u003c\/a\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/section\u003e \u003c\/div\u003e \u003c\/div\u003e\u003c\/div\u003e"}