{"id":8543618302292,"title":"NVIDIA Jetson AGX Xavier Development Kit 32GB","handle":"nvidia-jetson-agx-xavier-development-kit-32gb","description":"\u003cdiv id=\"buildify\" class=\"buildify buildify-8543618302292\"\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 AGX Xavier Development Kit 32GB\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"zgedg2q\" class=\"bdf-e bdf-e-zgedg2q bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003e945-82972-0045-000\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-default\"\u003eNext-Level AI Performance for Next-Gen Robotics\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;\"\u003e512-Core NVIDIA Volta GPU with Tensor Cores\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e(2x) NVDLA Engines\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e\u20288-Core ARM v8.2 64-Bit Carmel CPU\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e\u202832GB 256-Bit LPDDR4x| 136.5GB\/s\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e\u202832 GB eMMC 5.1 Flash Storage\u003c\/span\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cspan style=\"font-size: 16px; line-height: 26px; display: inline-block;\"\u003e\u20287-Way VLIW Vision Accelerator Processor\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"gtx-trans\" style=\"position: absolute; left: -185px; top: -14.0069px;\"\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\u003cp\u003eThe NVIDIA Jetson AGX XAVIER Developer Kit is capable to run modern AI workloads and solve problems in optical inspection, manufacturing, robotics, logistics, retail, service, agriculture, smart cities, and healthcare. Plus, it delivers up to 32 TOPS and can operate in as little as 10 W.\u003cbr\u003e\u003cbr\u003eJetson AGX Xavier Developer Kit is supported by 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 much more. It’s also supported by the NVIDIA Deep Stream SDK, which delivers a complete toolkit for real-time situational awareness through intelligent video analytics (IVA) and NVIDIA Isaac SDK, which delivers a software toolkit for robot development. These helps boost performance and accelerate software development, while reducing development cost and effort.\u003cbr\u003e\u003cbr\u003eThe same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"p7r49pa\" class=\"bdf-e bdf-e-p7r49pa 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\u003cp\u003eLearn more at \u003ca title=\"Jetson AGX Xavier\" href=\"https:\/\/developer.nvidia.com\/jetson-agx-xavier\" target=\"_blank\" rel=\"noopener\"\u003eJetson AGX Xavier\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"t04zryx\" class=\"bdf-e bdf-e-t04zryx 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\u003cp\u003e\u003cstrong\u003eThe embedded platform for autonomous everything\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eGet real-time Artificial Intelligence (AI) performance where you need it most with the high-performance, low-power NVIDIA Jetson family. Processing of complex data can now be done on-board edge devices. This means you can count on fast, accurate inference in everything from robots and drones to enterprise collaboration devices and intelligent cameras. Bringing AI to the edge unlocks huge potential for devices in network-constrained environments.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"wp5h2a7\" class=\"bdf-e bdf-e-wp5h2a7 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\u003cp\u003e\u003cstrong\u003eIntroducing NVIDIA AGX JETSON XAVIER\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eNow, you can get all the performance of a GPU workstation in an embedded module under 30 W with the latest addition to the Jetson platform—the NVIDIA® Jetson AGX Xavier™ Developer Kit. Powered by the new Xavier processor, this developer kit is built for autonomous machines, delivering more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. It's ideal for running modern AI workloads and building applications in manufacturing, logistics, retail, service, agriculture, smart cities, healthcare, and more.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"fsp1huf\" class=\"bdf-e bdf-e-fsp1huf 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\u003cp\u003e\u003cstrong\u003eTRANSFORMING INDUSTRIES WITH AI\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eArtificial intelligence is revolutionizing how we create autonomous machines, improving productivity, reducing costs, and enabling amazing new applications. NVIDIA® Jetson AGX Xavier™ brings the power of AI to embedded applications across nearly every industry. You can count on the highest levels of high-performance, energy-efficient AI at the edge in every application—from robotics and research to manufacturing and retail.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"t8coaln\" class=\"bdf-e bdf-e-t8coaln 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=\"d8apxru\" class=\"bdf-e bdf-e-d8apxru bdf-c bdf-c-s-50 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=\"9vkpqti\" class=\"bdf-e bdf-e-9vkpqti bdf-asp-rat-169 bdf-w bdf-w-video\" data-settings=\"eNqrVkosLkhNLokvSizJzFeyUjI0s1SqBQBcUAdZ\" data-el=\"video.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-wrp bdf-vid-wrp bdf-opn-inline\"\u003e \u003ciframe allow=\"autoplay\" src=\"\/\/www.youtube.com\/embed\/XoWW5HiGHsg?autoplay=0\u0026amp;rel=0\u0026amp;controls=1\u0026amp;showinfo=1\u0026amp;mute=0\" width=\"660\" height=\"371\" allowfullscreen\u003e\u003c\/iframe\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"u2doyqu\" class=\"bdf-e bdf-e-u2doyqu bdf-c bdf-c-s-50 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=\"2tmhdqf\" class=\"bdf-e bdf-e-2tmhdqf bdf-asp-rat-169 bdf-w bdf-w-video\" data-settings=\"eNqrVkosLkhNLokvSizJzFeyUjI0s1SqBQBcUAdZ\" data-el=\"video.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-wrp bdf-vid-wrp bdf-opn-inline\"\u003e \u003ciframe allow=\"autoplay\" src=\"\/\/www.youtube.com\/embed\/-nX8eD7FusQ?autoplay=0\u0026amp;rel=0\u0026amp;controls=1\u0026amp;showinfo=1\u0026amp;mute=0\" width=\"660\" height=\"371\" allowfullscreen\u003e\u003c\/iframe\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\/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\n\u003cp\u003e\u003cstrong\u003eJetson AGX Xavier\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e512-core Volta GPU with Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB 256-Bit LPDDR4x| 136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(2x) NVDLA Engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7-way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEncoder\/Decoder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(4x4K60|8x 4Kp30|16x 1080p60| 32x 1080p30 (HEVC)\u003cbr\u003e2x 8K30|6x 4Kp60| 12x 4Kp30| 26x 1080p60| 72x 1080p30 (HEVC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e105 mm x 105 mm x 65 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDeployment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eModule (Jetson Xavier)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eDeveloper Kit I\/Os\u003c\/th\u003e\n\u003cth\u003eJetson AGX Xavier Module Interface\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe X16\u003c\/td\u003e\n\u003ctd\u003ex8 PCIe Gen4\/x8 SLVS-EC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRJ45\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.1, DP (Optional), PD (Optional) Close-System Debug and Flashing Support on 1 Port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Connector\u003c\/td\u003e\n\u003ctd\u003e(16x) CSI-2 Lanes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Key M\u003c\/td\u003e\n\u003ctd\u003eNVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Key E\u003c\/td\u003e\n\u003ctd\u003ePCIe x1 + USB 2.0 + UART (for Wi-Fi\/LTE) \/ I \u003csup\u003e2\u003c\/sup\u003eS \/ PCM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e40-Pin Header\u003c\/td\u003e\n\u003ctd\u003eUART + SPI + CAN + I \u003csup\u003e2\u003c\/sup\u003eC + I\u003csup\u003e2\u003c\/sup\u003eS + DMIC + GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHD Audio Header\u003c\/td\u003e\n\u003ctd\u003eHigh-Definition Audio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eeSATAp + USB3.0 Type A\u003c\/td\u003e\n\u003ctd\u003eSATA Through PCIe x1 Bridge (PD + Data for 2.5-inch SATA) + USB 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI Type A\/eDP\/DP\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.0, eDP 1.2a, DP 1.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eusD\/UFS Card Socket\u003c\/td\u003e\n\u003ctd\u003eSD\/UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\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=\"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 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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 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id=\"buildify\" class=\"buildify buildify-8543618302292\"\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 AGX Xavier Development Kit 32GB\u003c\/h2\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"zgedg2q\" class=\"bdf-e bdf-e-zgedg2q bdf-w bdf-w-heading\" data-el=\"heading.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003ch2 class=\"bdf-h-t bdf-sz-small\"\u003e945-82972-0045-000\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-default\"\u003eNext-Level AI Performance for Next-Gen Robotics\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 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line-height: 26px; display: inline-block;\"\u003e\u20287-Way VLIW Vision Accelerator Processor\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cdiv id=\"gtx-trans\" style=\"position: absolute; left: -185px; top: -14.0069px;\"\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\u003cp\u003eThe NVIDIA Jetson AGX XAVIER Developer Kit is capable to run modern AI workloads and solve problems in optical inspection, manufacturing, robotics, logistics, retail, service, agriculture, smart cities, and healthcare. Plus, it delivers up to 32 TOPS and can operate in as little as 10 W.\u003cbr\u003e\u003cbr\u003eJetson AGX Xavier Developer Kit is supported by 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 much more. It’s also supported by the NVIDIA Deep Stream SDK, which delivers a complete toolkit for real-time situational awareness through intelligent video analytics (IVA) and NVIDIA Isaac SDK, which delivers a software toolkit for robot development. These helps boost performance and accelerate software development, while reducing development cost and effort.\u003cbr\u003e\u003cbr\u003eThe same JetPack SDK is used across the entire NVIDIA Jetson family of products and is fully compatible with NVIDIA’s world-leading AI platform for training and deploying AI software.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"p7r49pa\" class=\"bdf-e bdf-e-p7r49pa 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\u003cp\u003eLearn more at \u003ca title=\"Jetson AGX Xavier\" href=\"https:\/\/developer.nvidia.com\/jetson-agx-xavier\" target=\"_blank\" rel=\"noopener\"\u003eJetson AGX Xavier\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"t04zryx\" class=\"bdf-e bdf-e-t04zryx 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\u003cp\u003e\u003cstrong\u003eThe embedded platform for autonomous everything\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eGet real-time Artificial Intelligence (AI) performance where you need it most with the high-performance, low-power NVIDIA Jetson family. Processing of complex data can now be done on-board edge devices. This means you can count on fast, accurate inference in everything from robots and drones to enterprise collaboration devices and intelligent cameras. Bringing AI to the edge unlocks huge potential for devices in network-constrained environments.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"wp5h2a7\" class=\"bdf-e bdf-e-wp5h2a7 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\u003cp\u003e\u003cstrong\u003eIntroducing NVIDIA AGX JETSON XAVIER\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eNow, you can get all the performance of a GPU workstation in an embedded module under 30 W with the latest addition to the Jetson platform—the NVIDIA® Jetson AGX Xavier™ Developer Kit. Powered by the new Xavier processor, this developer kit is built for autonomous machines, delivering more than 20X the performance and 10X the energy efficiency of its predecessor, the NVIDIA Jetson TX2. It's ideal for running modern AI workloads and building applications in manufacturing, logistics, retail, service, agriculture, smart cities, healthcare, and more.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"fsp1huf\" class=\"bdf-e bdf-e-fsp1huf 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\u003cp\u003e\u003cstrong\u003eTRANSFORMING INDUSTRIES WITH AI\u003cbr\u003e\u003cbr\u003e\u003c\/strong\u003eArtificial intelligence is revolutionizing how we create autonomous machines, improving productivity, reducing costs, and enabling amazing new applications. NVIDIA® Jetson AGX Xavier™ brings the power of AI to embedded applications across nearly every industry. You can count on the highest levels of high-performance, energy-efficient AI at the edge in every application—from robotics and research to manufacturing and retail.\u003c\/p\u003e\u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003csection data-id=\"t8coaln\" class=\"bdf-e bdf-e-t8coaln 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=\"d8apxru\" class=\"bdf-e bdf-e-d8apxru bdf-c bdf-c-s-50 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=\"9vkpqti\" class=\"bdf-e bdf-e-9vkpqti bdf-asp-rat-169 bdf-w bdf-w-video\" data-settings=\"eNqrVkosLkhNLokvSizJzFeyUjI0s1SqBQBcUAdZ\" data-el=\"video.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-wrp bdf-vid-wrp bdf-opn-inline\"\u003e \u003ciframe allow=\"autoplay\" src=\"\/\/www.youtube.com\/embed\/XoWW5HiGHsg?autoplay=0\u0026amp;rel=0\u0026amp;controls=1\u0026amp;showinfo=1\u0026amp;mute=0\" width=\"660\" height=\"371\" allowfullscreen\u003e\u003c\/iframe\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003c\/div\u003e \u003cdiv data-id=\"u2doyqu\" class=\"bdf-e bdf-e-u2doyqu bdf-c bdf-c-s-50 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=\"2tmhdqf\" class=\"bdf-e bdf-e-2tmhdqf bdf-asp-rat-169 bdf-w bdf-w-video\" data-settings=\"eNqrVkosLkhNLokvSizJzFeyUjI0s1SqBQBcUAdZ\" data-el=\"video.default\"\u003e \u003cdiv class=\"bdf-w-ctr\"\u003e \u003cdiv class=\"bdf-wrp bdf-vid-wrp bdf-opn-inline\"\u003e \u003ciframe allow=\"autoplay\" src=\"\/\/www.youtube.com\/embed\/-nX8eD7FusQ?autoplay=0\u0026amp;rel=0\u0026amp;controls=1\u0026amp;showinfo=1\u0026amp;mute=0\" width=\"660\" height=\"371\" allowfullscreen\u003e\u003c\/iframe\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\/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\n\u003cp\u003e\u003cstrong\u003eJetson AGX Xavier\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003cth\u003e \u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eGPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e512-core Volta GPU with Tensor Cores\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eCPU\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eMemory\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB 256-Bit LPDDR4x| 136.5GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eStorage\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC 5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDL Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(2x) NVDLA Engines\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eVision Accelerator\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e7-way VLIW Vision Processor\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eEncoder\/Decoder\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e(4x4K60|8x 4Kp30|16x 1080p60| 32x 1080p30 (HEVC)\u003cbr\u003e2x 8K30|6x 4Kp60| 12x 4Kp30| 26x 1080p60| 72x 1080p30 (HEVC)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eSize\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003e105 mm x 105 mm x 65 mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e\u003cstrong\u003eDeployment\u003c\/strong\u003e\u003c\/td\u003e\n\u003ctd\u003eModule (Jetson Xavier)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eDeveloper Kit I\/Os\u003c\/th\u003e\n\u003cth\u003eJetson AGX Xavier Module Interface\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ePCIe X16\u003c\/td\u003e\n\u003ctd\u003ex8 PCIe Gen4\/x8 SLVS-EC\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRJ45\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-C\u003c\/td\u003e\n\u003ctd\u003e2x USB 3.1, DP (Optional), PD (Optional) Close-System Debug and Flashing Support on 1 Port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera Connector\u003c\/td\u003e\n\u003ctd\u003e(16x) CSI-2 Lanes\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Key M\u003c\/td\u003e\n\u003ctd\u003eNVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eM.2 Key E\u003c\/td\u003e\n\u003ctd\u003ePCIe x1 + USB 2.0 + UART (for Wi-Fi\/LTE) \/ I \u003csup\u003e2\u003c\/sup\u003eS \/ PCM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e40-Pin Header\u003c\/td\u003e\n\u003ctd\u003eUART + SPI + CAN + I \u003csup\u003e2\u003c\/sup\u003eC + I\u003csup\u003e2\u003c\/sup\u003eS + DMIC + GPIOs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHD Audio Header\u003c\/td\u003e\n\u003ctd\u003eHigh-Definition Audio\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eeSATAp + USB3.0 Type A\u003c\/td\u003e\n\u003ctd\u003eSATA Through PCIe x1 Bridge (PD + Data for 2.5-inch SATA) + USB 3.0\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHDMI Type A\/eDP\/DP\u003c\/td\u003e\n\u003ctd\u003eHDMI 2.0, eDP 1.2a, DP 1.4\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eusD\/UFS Card Socket\u003c\/td\u003e\n\u003ctd\u003eSD\/UFS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\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=\"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\/SP-09778-001_v2.0.pdf?v=1695290316\" 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"}