{"title":"AI \/ Boards \/ Kits \/ Jetson TX2","description":null,"products":[{"product_id":"nvidia-jetson-tx2-nx-module-high-performance-ai-at-the-edge-1","title":"NVIDIA Jetson TX2 NX Module, High Performance AI at the Edge","description":"\u003cp\u003e\u003cstrong\u003eKurzbeschreibung:\u003c\/strong\u003e NVIDIA Jetson TX2 NX Module, Delivers The Next Step In AI Performance For Entry-Level Embedded And Edge Products\u003c\/p\u003e\u003cdiv class=\"overviewSec\"\u003eNVIDIA Jetson TX2 NX Module, delivers the next step in AI performance for entry-level embedded and edge products\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\u003cdiv class=\"pdT\" style=\"background: #454E53; color: #fff;\"\u003e\u003cdiv class=\"richTitle\"\u003eJetson TX2 NX\u003c\/div\u003e\u003cp class=\"richDesc\"\u003edelivers the next step in AI performance for entry-level embedded and edge products\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-TX2-NX\/Jetson-TX2-NX-details-1.jpg\" \/\u003e\u003cdiv class=\"alignl bgBlack pdTRBL\"\u003e        NVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It’s compact, power-efficient, and ideal for your next AI solution, from manufacturing and retail to agriculture and life sciences. Pre-trained AI models, Transfer Learning Toolkit, and the NVIDIA JetPack SDK help you get your best product to market—fast.      \u003c\/div\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eProduct Features\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-TX2-NX\/Jetson-TX2-NX-details-3.jpg\" \/\u003e\u003cdiv class=\"richDesc\"\u003eMINIMIZE YOUR FOOTPRINT\u003c\/div\u003e\u003cp class=\"subBlock alignl\"\u003eNow you can get exceptionally high compute, accuracy, and power efficiency in a module smaller than a credit card. Available in 69.6 mm x 45 mm dimensions, Jetson TX2 NX modules enable deep learning applications in small form-factor products.\u003c\/p\u003e\u003cdiv class=\"richDesc\"\u003eMAXIMIZE YOUR PERFORMANCE\u003c\/div\u003e\u003cp class=\"subBlock alignl\"\u003eExperience more than double the performance or twice the energy efficiency of Jetson TX1. It’s all made possible by the NVIDIA Pascal GPU architecture with 256 NVIDIA CUDA cores and 4 GB memory for fast compute and inference.\u003c\/p\u003e\u003cdiv class=\"richDesc\"\u003eOPTIMIZE YOUR POWER EFFICIENCY\u003c\/div\u003e\u003cp class=\"subBlock alignl\"\u003eRun large, deep neural networks for higher accuracy on edge devices in as little as 7.5 watts. Jetson TX2 series modules are ideal for real-time processing in applications where bandwidth and latency can be an issue, including factory robots and enterprise collaboration devices.\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eSpecifications\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock alignl mgnTB\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003eAI performance\u003c\/th\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eGPU\u003c\/th\u003e\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eCPU\u003c\/th\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eMemory\u003c\/th\u003e\u003ctd\u003e4 GB 128-bit LPDDR4            51.2 GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eStorage\u003c\/th\u003e\u003ctd\u003e16 GB eMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003ePower\u003c\/th\u003e\u003ctd\u003e7.5 W | 15 W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003ePCIe\u003c\/th\u003e\u003ctd\u003e1 x1 + 1 x2            PCIe Gen2, total 30 GT\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eCSI Camera\u003c\/th\u003e\u003ctd\u003eUp to 5 cameras (12 via virtual channels)              12 lanes MIPI CSI-2 (3x4 or 5x2)            D-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eVideo encode\u003c\/th\u003e\u003ctd\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)              1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eVideo decode\u003c\/th\u003e\u003ctd\u003e2x 4K60 | 4x 4K30 | 7x 1080p60 | 14x 1080p30 (H.265 \u0026amp; H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eDisplay\u003c\/th\u003e\u003ctd\u003e2 multi-mode DP 1.2\/eDP 1.4\/HDMI 2.0            1x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eNetworking\u003c\/th\u003e\u003ctd\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003eMechanical\u003c\/th\u003e\u003ctd\u003e69.6 mm x 45 mm            260-pin SO-DIMM edge connector\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\u003cdiv class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/Jetson_TX2_NX\" target=\"_blank\"\u003eJetson_TX2_NX\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eSelection Guide\u003c\/div\u003e\u003ctable class=\"tabSty-2 mgnTB alignc\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003eModel\u003c\/th\u003e\u003cth style=\"width: 35%;\"\u003eModule\u003c\/th\u003e\u003cth style=\"width: 35%;\"\u003eDeveloper Kit\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson Nano\u003c\/strong\u003eNVIDIA Maxwell architecture128 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-Nano-Module.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Nano-1.jpg\"\u003e\u003c\/a\u003e69.6×45mm              260-pin edge connector\u003c\/td\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Nano-2.jpg\"\u003e100×80×29mm  \u003ca href=\"https:\/\/www.waveshare.com\/Jetson-Nano-Developer-Kit-B01.htm\" target=\"_blank\"\u003e4GB\u003c\/a\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-2gb-developer-kit.htm\" target=\"_blank\"\u003e2GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson TX2\u003c\/strong\u003eNVIDIA Pascal architecture256 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-TX2-NX.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jjetson-TX2-1.jpg\" style=\"opacity: 0.3;\"\u003e\u003c\/a\u003e87×50mm              400-pin connector  with Thermal Transfer Plate\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-TX2-Developer-Kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jjetson-TX2-2.jpg\"\u003e\u003c\/a\u003e170×170×15.6mm\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson TX2 NX\u003c\/strong\u003e       NVIDIA Pascal architecture256 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-TX2-NX.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-TX2-NX-1.jpg\"\u003e\u003c\/a\u003e69.6×45mm              260-pin edge connector\u003c\/td\u003e\u003ctd\u003eCompatible with the baseboard of Jetson Xavier NX Developer Kit for quickly developing and debugging.\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson Xavier NX\u003c\/strong\u003eNVIDIA Volta architecture384 NVIDIA CUDA cores48 Tensor cores\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-Xavier-NX.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Xavier-NX-1.jpg\"\u003e\u003c\/a\u003e69.5×45mm              260-pin edge connector\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-Xavier-NX-Developer-Kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Xavier-NX-2.jpg\"\u003e\u003c\/a\u003e103×90.5×31mm\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson AGX Xavier\u003c\/strong\u003eNVIDIA Volta architecture512 NVIDIA CUDA cores64 Tensor cores\u003c\/td\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-AGX-Xavier-1.jpg\" style=\"opacity: 0.3;\"\u003e100×87mm              699-pin connector              Integrated Thermal Transfer Plate\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/Jetson-AGX-Xavier-Developer-Kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-AGX-Xavier-2.jpg\"\u003e\u003c\/a\u003e105×105×65mm\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson Orin NX\u003c\/strong\u003eNVIDIA Ampere architecture1024 NVIDIA CUDA cores32 Tensor cores\u003c\/td\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-NX-1.jpg\"\u003e69.6×45mm              260-pin SO-DIMM connector\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eSelection Guide\u003c\/div\u003e\u003ctable class=\"tabSty-2 mgnTB alignc\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003eModel\u003c\/th\u003e\u003cth style=\"width: 34%;\"\u003eModule\u003c\/th\u003e\u003cth style=\"width: 34%;\"\u003eDeveloper Kit\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cstrong\u003eJetson AGX Orin\u003c\/strong\u003e\u003cp\u003e2048-core N-VIDIA Ampere architecture GPU with 64 Tensor Cores\u003c\/p\u003e\u003c\/td\u003e\u003ctd\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-agx-orin-developer-kit.htm?sku=24431\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Jetson-AGX-Orin-Developer-Kit-1.jpg\" alt=\"Jetson-AGX-Orin-Developer-Kit-1\"\u003e\u003c\/a\u003e110×110×71.65mmOfficial Kit: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-agx-orin-developer-kit.htm?sku=24431\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e64GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd rowspan=\"4\"\u003e\u003cstrong\u003eJetson Orin Nano\u003c\/strong\u003e\u003cp\u003e512\/1024-core N-VIDIA Ampere architecture GPU with 16\/32 Tensor Cores\u003c\/p\u003e\u003c\/td\u003e\u003ctd rowspan=\"4\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-Nano-1.jpg\" alt=\"Compare-Jetson-Orin-Nano-1\"\u003eMemory: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24432\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e4GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano.htm?sku=24433\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e69.6×45mm260-pin SO-DIMM connector\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-developer-kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-Nano-2.jpg\" alt=\"Jetson Orin Nano Developer Kit\"\u003e\u003c\/a\u003e100×79×21mmOfficial Kit\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-super-developer-kit.htm\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-Nano-2.jpg\" alt=\":Jetson Orin Nano Super Developer Kit\"\u003e\u003c\/a\u003e100×79×21mmOfficial Super Kit\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-Nano-3.jpg\" alt=\":Jetson Orin Nano Super Developer Kit\"\u003e103×90.5×34mmWaveshare Kit: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24499\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e4GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-dev-kit.htm?sku=24505\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/JETSON-ORIN-ETH-NANO-DEV-KIT.jpg\" alt=\":Jetson Orin Nano Super Developer Kit\"\u003e103×90.5×34mmWaveshare Dual ETH Kit: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-eth-dev-kit.htm?sku=33174\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e4GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nano-eth-dev-kit.htm?sku=33176\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd rowspan=\"2\"\u003e\u003cstrong\u003eJetson Orin NX\u003c\/strong\u003e\u003cp\u003e1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores\u003c\/p\u003e\u003c\/td\u003e\u003ctd rowspan=\"2\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-NX-1.jpg\" alt=\"Jetson Orin NX\"\u003eMemory: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx.htm?sku=24434\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx.htm?sku=24456\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e16GB\u003c\/a\u003e69.6×45mm260-pin SO-DIMM connector\u003c\/td\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/Compare-Jetson-Orin-NX-2.jpg\" alt=\":Jetson Orin NX\"\u003e103×90.5×34mmWaveshare Kit: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx-16g-dev-kit.htm?sku=24474\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx-16g-dev-kit.htm?sku=24222\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e16GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Compare\/JETSON-ORIN-ETH-NANO-DEV-KIT.jpg\" alt=\":Jetson Orin Nano Super Developer Kit\"\u003e103×90.5×34mmWaveshare Dual ETH Kit: \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx-eth-dev-kit.htm?sku=33178\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e8GB\u003c\/a\u003e \/ \u003ca href=\"https:\/\/www.waveshare.com\/jetson-orin-nx-eth-dev-kit.htm?sku=33180\" target=\"_blank\" style=\"text-decoration: underline;\"\u003e16GB\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003ctd colspan=\"3\"\u003e\u003cp class=\"note\"\u003eNote: some models haven't been released yet, please contact the Waveshare service team if you need them.\u003c\/p\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eNVIDIA official partner\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eAs an NVIDIA official authorized partner, Waveshare is capable of providing genuine products and reliable tech support\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-Nano-Developer-Kit-B01\/Jetson-Nano-Developer-Kit-partner_960.jpg\" alt=\"\" \/\u003e\u003c\/div\u003e\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003col\u003e\u003cli\u003eJetson TX2 NX x1\u003c\/li\u003e\u003c\/ol\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/Jetson-TX2-NX\/Jetson-TX2-NX-details-3.jpg\" \/\u003e","brand":"NVIDIA","offers":[{"title":"Default Title","offer_id":53568413565265,"sku":"WSAL19582","price":103845.69,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal195821-429879.jpg?v=1776630382"},{"product_id":"waveshare-jetson-tx2-nx-development-kit-deep-learning-and-edge-computing","title":"Waveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing","description":"\u003cdiv class=\"overviewSec\"\u003eWaveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Development Kit\u003c\/div\u003e\u003cp class=\"hilitBlock2\"\u003eDelivers The Next Step In AI Performance For Embedded \u0026amp; Edge Computing\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-1.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eBased On Jetson TX2 NX Module\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides 2.5X the performance of Jetson Nano, integrating NVIDIA Pascal architecture with 256 NVIDIA CUDA cores and the AI performance reaches up to 1.33 TFLOPs.              This kit includes a TX2 NX Module with onboard \u003cspan class=\"hilitColor\"\u003e16GB eMMC\u003c\/span\u003e, does not support Micro SD card.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-3.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eComes with extra Free Accessories\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-5.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eDedicated Cooling Fan for Powerful Heat Dissipation\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eAdopts NVIDIA classic cooling fan appearance, aluminum alloy enclosure, speed up to 5500RPM.Powerful heat dissipation, no worry about the drop in AI performance due to heat dissipation problems.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-11.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eHigh-quality carrier board for Better Performance\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eHigh-quality carrier board to match the strong performance of the TX2 NX Module.  Waveshare is widely praised for the board durability and manufacturing quality.  We optimize each part of the board with good workmanship and materials.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-13.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWaveshare Jetson SeriesProduct Comparison\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eProduct\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eNano Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eTX2 NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eXavier NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVersion\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-developer-kit-b01.htm\"\u003eNVIDIA Official B01 Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-dev-kit-a.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/JETSON-TX2-NX-DEV-KIT.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-developer-kit.htm\"\u003eNVIDIA Official Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-dev-kit.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e0.5 TFLOPS (FP16)\u003c\/td\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eNVIDIA Maxwell, 128 NVIDIA CUDA Core\u003c\/td\u003e\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e384-core NVIDIA Volta GPU with 48 Tensor Cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4-Core ARM Cortex-A57 MPCore CPU\u003c\/td\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4 GB 64-bit LPDDR4 1600Mhz 25.6GB\/s\u003c\/td\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e8 \/ 16 GB 128-bit LPDDR4x 59.7GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003e eMMC 5.1\u003c\/td\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eFree Storage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e32 GB U disk\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e5W | 10W\u003c\/td\u003e\u003ctd\u003e7.5W | 15W\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e10W | 15W | 20W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eM.2 E KEY (PCIe Gen 2 x1)\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eM.2 E KEY (PCIe Gen 4 x1) M.2 M KEY (PCIe Gen 4 x4)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e2 MIPI CSI-2 DPHY Channel\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp30 4x 1080p30 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\u003ctd\u003e1x 4K60 3x 4K30 4x 1080p60 8x 1080p30 (H.265) 1x 4K60 3x 4K30 7x 1080p60 14x 1080p30 (H.264)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 4K60 4x 4K30 10x 1080p60 22x 1080p30 (H.265) 2x 4K60 4x 4K30 10x 1080p60 20x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp60 2x 4Kp30 8x 1080p30 18x 720p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd\u003e2x 4K60 4x 4p30 7x 1080p60 14x 1080p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 8K30 6x 4K60 12x 4K30 22x 1080p60 44x 1080p30 (H.265) 2x 4K60 6x 4K30 10x 1080p60 22x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eHDMI 2.0 \/ DP1.2\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eHDMI 2.0 \/ DP 1.4\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDL Accelerator \u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x NVDLA Engines\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVision Accelerator\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x PVA\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e100 x 80 x 29 mm\u003c\/td\u003e\u003ctd colspan=\"3\"\u003e103 x 90.5 x 34 mm\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eCompact, Powerful Performance At The Edge\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eThe NVIDIA Jetson TX2 series modules deliver exceptional speed and power efficiency for embedded AI computing devices, delivering 1.33 TFLOPS of AI performance. Equipped with NVIDIA Pascal GPUs, up to 4 GB memory, 51.2 GB\/s memory bandwidth, and a variety of standard hardware interfaces.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-15.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #333333; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWith Cloud-Native Support\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX modules cloud-native support lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-17.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #222327; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eIdeal For Critical Embedded Applications\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other IoT embedded systems.\u003c\/p\u003e\u003cdiv class=\"richGridWrap richGridWrap-2c richGridWrap-valignTop mgnTB\"\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-1.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eImage Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-2.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eObject Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-3.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eSemantic Segmentation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-4.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePose Estimation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-5.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eMonocular Depth\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-6.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePosition Tracking\u003c\/p\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #E4E4E4;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eAI Computing Neural Networks SDK\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eJetson Development Pack (JetPack) is an on-demand all-in-one package that bundles and installs all development software tools for the NVIDIA Jetson embedded platform.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-21.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Module Specification\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNVIDIA Pascal Architecture with 256 CUDA cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex \u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e16 GB eMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e7.5 W | 15 W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x1 + 1x2PCIe Gen2, total 30 GT\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eUp to 5 cameras (up to 12 via virtual channels)12-Ch MIPI CSI-2 (3x4 or 5x2)D-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2x 4K60 | 4x 4p30 | 7x 1080p60 | 14x 1080p30(H.265 and H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2 Multimode DP 1.2\/eDP 1.4\/HDMI 2.01 x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e69.6 mm x 45 mm260-pin SO-DIMM connector\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eOutline dimensions\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-size.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" \/\u003e\u003cdiv class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003col\u003e\u003cli\u003eWaveshare TX2 NX development kit:Jetson TX2 NX ModuleJETSON-IO-BASE-B            Cooling Fan\u003c\/li\u003e\u003cli\u003e128GB NVMe SSD\u003c\/li\u003e\u003cli\u003eWireless network card\u003c\/li\u003e\u003cli\u003e\u003cspan class=\"noteBg\"\u003eOPTIONS\u003c\/span\u003e Power adapter\u003c\/li\u003e\u003cli\u003eEthernet cable (~1.5m)\u003c\/li\u003e\u003c\/ol\u003e\u003cdiv class=\"imgTextWrap\"\u003e\u003cdiv\u003e1\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-1_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e2\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-IO-BASE-B-details-9-2_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e3\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/8375-WIFI-module_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e4\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003cdiv\u003e5\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e","brand":"WaveShare","offers":[{"title":"Default Title","offer_id":53568442270033,"sku":"WSAL23035","price":177443.96,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal230351-439629.jpg?v=1776635593"},{"product_id":"waveshare-jetson-tx2-nx-development-kit-deep-learning-and-edge-computing-1","title":"Waveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing","description":"\u003cdiv class=\"overviewSec\"\u003eWaveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Development Kit\u003c\/div\u003e\u003cp class=\"hilitBlock2\"\u003eDelivers The Next Step In AI Performance For Embedded \u0026amp; Edge Computing\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-1.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eBased On Jetson TX2 NX Module\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides 2.5X the performance of Jetson Nano, integrating NVIDIA Pascal architecture with 256 NVIDIA CUDA cores and the AI performance reaches up to 1.33 TFLOPs.              This kit includes a TX2 NX Module with onboard \u003cspan class=\"hilitColor\"\u003e16GB eMMC\u003c\/span\u003e, does not support Micro SD card.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-3.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eComes with extra Free Accessories\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-5.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eDedicated Cooling Fan for Powerful Heat Dissipation\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eAdopts NVIDIA classic cooling fan appearance, aluminum alloy enclosure, speed up to 5500RPM.Powerful heat dissipation, no worry about the drop in AI performance due to heat dissipation problems.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-11.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eHigh-quality carrier board for Better Performance\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eHigh-quality carrier board to match the strong performance of the TX2 NX Module.  Waveshare is widely praised for the board durability and manufacturing quality.  We optimize each part of the board with good workmanship and materials.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-13.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWaveshare Jetson SeriesProduct Comparison\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eProduct\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eNano Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eTX2 NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eXavier NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVersion\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-developer-kit-b01.htm\"\u003eNVIDIA Official B01 Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-dev-kit-a.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/JETSON-TX2-NX-DEV-KIT.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-developer-kit.htm\"\u003eNVIDIA Official Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-dev-kit.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e0.5 TFLOPS (FP16)\u003c\/td\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eNVIDIA Maxwell, 128 NVIDIA CUDA Core\u003c\/td\u003e\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e384-core NVIDIA Volta GPU with 48 Tensor Cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4-Core ARM Cortex-A57 MPCore CPU\u003c\/td\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4 GB 64-bit LPDDR4 1600Mhz 25.6GB\/s\u003c\/td\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e8 \/ 16 GB 128-bit LPDDR4x 59.7GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003e eMMC 5.1\u003c\/td\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eFree Storage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e32 GB U disk\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e5W | 10W\u003c\/td\u003e\u003ctd\u003e7.5W | 15W\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e10W | 15W | 20W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eM.2 E KEY (PCIe Gen 2 x1)\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eM.2 E KEY (PCIe Gen 4 x1) M.2 M KEY (PCIe Gen 4 x4)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e2 MIPI CSI-2 DPHY Channel\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp30 4x 1080p30 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\u003ctd\u003e1x 4K60 3x 4K30 4x 1080p60 8x 1080p30 (H.265) 1x 4K60 3x 4K30 7x 1080p60 14x 1080p30 (H.264)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 4K60 4x 4K30 10x 1080p60 22x 1080p30 (H.265) 2x 4K60 4x 4K30 10x 1080p60 20x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp60 2x 4Kp30 8x 1080p30 18x 720p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd\u003e2x 4K60 4x 4p30 7x 1080p60 14x 1080p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 8K30 6x 4K60 12x 4K30 22x 1080p60 44x 1080p30 (H.265) 2x 4K60 6x 4K30 10x 1080p60 22x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eHDMI 2.0 \/ DP1.2\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eHDMI 2.0 \/ DP 1.4\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDL Accelerator \u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x NVDLA Engines\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVision Accelerator\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x PVA\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e100 x 80 x 29 mm\u003c\/td\u003e\u003ctd colspan=\"3\"\u003e103 x 90.5 x 34 mm\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eCompact, Powerful Performance At The Edge\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eThe NVIDIA Jetson TX2 series modules deliver exceptional speed and power efficiency for embedded AI computing devices, delivering 1.33 TFLOPS of AI performance. Equipped with NVIDIA Pascal GPUs, up to 4 GB memory, 51.2 GB\/s memory bandwidth, and a variety of standard hardware interfaces.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-15.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #333333; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWith Cloud-Native Support\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX modules cloud-native support lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-17.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #222327; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eIdeal For Critical Embedded Applications\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other IoT embedded systems.\u003c\/p\u003e\u003cdiv class=\"richGridWrap richGridWrap-2c richGridWrap-valignTop mgnTB\"\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-1.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eImage Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-2.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eObject Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-3.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eSemantic Segmentation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-4.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePose Estimation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-5.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eMonocular Depth\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-6.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePosition Tracking\u003c\/p\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #E4E4E4;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eAI Computing Neural Networks SDK\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eJetson Development Pack (JetPack) is an on-demand all-in-one package that bundles and installs all development software tools for the NVIDIA Jetson embedded platform.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-21.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Module Specification\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNVIDIA Pascal Architecture with 256 CUDA cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex \u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e16 GB eMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e7.5 W | 15 W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x1 + 1x2PCIe Gen2, total 30 GT\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eUp to 5 cameras (up to 12 via virtual channels)12-Ch MIPI CSI-2 (3x4 or 5x2)D-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2x 4K60 | 4x 4p30 | 7x 1080p60 | 14x 1080p30(H.265 and H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2 Multimode DP 1.2\/eDP 1.4\/HDMI 2.01 x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e69.6 mm x 45 mm260-pin SO-DIMM connector\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eOutline dimensions\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-size.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" \/\u003e\u003cdiv class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003col\u003e\u003cli\u003eWaveshare TX2 NX development kit:Jetson TX2 NX ModuleJETSON-IO-BASE-B            Cooling Fan\u003c\/li\u003e\u003cli\u003e128GB NVMe SSD\u003c\/li\u003e\u003cli\u003eWireless network card\u003c\/li\u003e\u003cli\u003e\u003cspan class=\"noteBg\"\u003eOPTIONS\u003c\/span\u003e Power adapter\u003c\/li\u003e\u003cli\u003eEthernet cable (~1.5m)\u003c\/li\u003e\u003c\/ol\u003e\u003cdiv class=\"imgTextWrap\"\u003e\u003cdiv\u003e1\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-1_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e2\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-IO-BASE-B-details-9-2_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e3\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/8375-WIFI-module_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e4\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003cdiv\u003e5\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e","brand":"WaveShare","offers":[{"title":"Default Title","offer_id":53568442827089,"sku":"WSAL23037","price":177443.96,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal230351-439629.jpg?v=1776635593"},{"product_id":"waveshare-jetson-tx2-nx-development-kit-deep-learning-and-edge-computing-2","title":"Waveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing","description":"\u003cdiv class=\"overviewSec\"\u003eWaveshare Jetson TX2 NX Development Kit, Deep Learning and Edge Computing\u003c\/div\u003e\u003cdiv class=\"richWrap\"\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Development Kit\u003c\/div\u003e\u003cp class=\"hilitBlock2\"\u003eDelivers The Next Step In AI Performance For Embedded \u0026amp; Edge Computing\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-1.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eBased On Jetson TX2 NX Module\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eNVIDIA Jetson TX2 NX delivers the next step in AI performance for entry-level embedded and edge products. It provides 2.5X the performance of Jetson Nano, integrating NVIDIA Pascal architecture with 256 NVIDIA CUDA cores and the AI performance reaches up to 1.33 TFLOPs.              This kit includes a TX2 NX Module with onboard \u003cspan class=\"hilitColor\"\u003e16GB eMMC\u003c\/span\u003e, does not support Micro SD card.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-3.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eComes with extra Free Accessories\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-5.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #1B1C20; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eDedicated Cooling Fan for Powerful Heat Dissipation\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eAdopts NVIDIA classic cooling fan appearance, aluminum alloy enclosure, speed up to 5500RPM.Powerful heat dissipation, no worry about the drop in AI performance due to heat dissipation problems.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-11.jpg\" \/\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eHigh-quality carrier board for Better Performance\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eHigh-quality carrier board to match the strong performance of the TX2 NX Module.  Waveshare is widely praised for the board durability and manufacturing quality.  We optimize each part of the board with good workmanship and materials.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-13.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWaveshare Jetson SeriesProduct Comparison\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eProduct\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eNano Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eTX2 NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003cth colspan=\"2\"\u003e\u003cstrong class=\"hilitColor\"\u003eXavier NX Developer Kit\u003c\/strong\u003e\u003c\/th\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVersion\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-developer-kit-b01.htm\"\u003eNVIDIA Official B01 Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-nano-dev-kit-a.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/JETSON-TX2-NX-DEV-KIT.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-developer-kit.htm\"\u003eNVIDIA Official Kit\u003c\/a\u003e\u003c\/td\u003e\u003ctd\u003e\u003ca href=\"https:\/\/www.waveshare.com\/jetson-xavier-nx-dev-kit.htm\"\u003eWaveshare\u003c\/a\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e0.5 TFLOPS (FP16)\u003c\/td\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e21 TOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eNVIDIA Maxwell, 128 NVIDIA CUDA Core\u003c\/td\u003e\u003ctd\u003eNVIDIA Pascal architecture with 256 NVIDIA CUDA cores\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e384-core NVIDIA Volta GPU with 48 Tensor Cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4-Core ARM Cortex-A57 MPCore CPU\u003c\/td\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e6-core NVIDIA Carmel ARM v8.2 64-bit CPU 6MB L2 + 4MB L3\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4 GB 64-bit LPDDR4 1600Mhz 25.6GB\/s\u003c\/td\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e8 \/ 16 GB 128-bit LPDDR4x 59.7GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003e eMMC 5.1\u003c\/td\u003e\u003ctd\u003eMicro SD card(should be purchase separately)\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e16 GB\u003c\/span\u003eeMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eFree Storage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e32 GB U disk\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003ctd\u003eNone\u003c\/td\u003e\u003ctd\u003e\u003cspan class=\"note\"\u003e128 GB SSD\u003c\/span\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e5W | 10W\u003c\/td\u003e\u003ctd\u003e7.5W | 15W\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e10W | 15W | 20W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eM.2 E KEY (PCIe Gen 2 x1)\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eM.2 E KEY (PCIe Gen 4 x1) M.2 M KEY (PCIe Gen 4 x4)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e2 MIPI CSI-2 DPHY Channel\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp30 4x 1080p30 9x 720p30 (H.264\/H.265)\u003c\/td\u003e\u003ctd\u003e1x 4K60 3x 4K30 4x 1080p60 8x 1080p30 (H.265) 1x 4K60 3x 4K30 7x 1080p60 14x 1080p30 (H.264)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 4K60 4x 4K30 10x 1080p60 22x 1080p30 (H.265) 2x 4K60 4x 4K30 10x 1080p60 20x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e4Kp60 2x 4Kp30 8x 1080p30 18x 720p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd\u003e2x 4K60 4x 4p30 7x 1080p60 14x 1080p30 (H.264 \/ H.265)\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x 8K30 6x 4K60 12x 4K30 22x 1080p60 44x 1080p30 (H.265) 2x 4K60 6x 4K30 10x 1080p60 22x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003eHDMI 2.0 \/ DP1.2\u003c\/td\u003e\u003ctd colspan=\"3\"\u003eHDMI 2.0 \/ DP 1.4\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDL Accelerator \u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x NVDLA Engines\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVision Accelerator\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e-\u003c\/td\u003e\u003ctd\u003e-\u003c\/td\u003e\u003ctd colspan=\"2\"\u003e2x PVA\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"5\"\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd colspan=\"2\"\u003e100 x 80 x 29 mm\u003c\/td\u003e\u003ctd colspan=\"3\"\u003e103 x 90.5 x 34 mm\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eCompact, Powerful Performance At The Edge\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eThe NVIDIA Jetson TX2 series modules deliver exceptional speed and power efficiency for embedded AI computing devices, delivering 1.33 TFLOPS of AI performance. Equipped with NVIDIA Pascal GPUs, up to 4 GB memory, 51.2 GB\/s memory bandwidth, and a variety of standard hardware interfaces.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-15.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #333333; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eWith Cloud-Native Support\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX modules cloud-native support lets developers build and deploy high-quality, software-defined features on embedded and edge devices. Pre-trained AI models from NVIDIA NGC and the TAO Toolkit give you a faster path to trained and optimized AI networks, while containerized deployment to Jetson devices allows flexible and seamless updates.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-17.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #222327; color: #fff;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eIdeal For Critical Embedded Applications\u003c\/div\u003e\u003cp class=\"alignl pdTRBL\"\u003eJetson TX2 NX is perfect for high-performance AI systems like commercial robots, medical instruments, smart cameras, high-resolution sensors, automated optical inspection, smart factories, and other IoT embedded systems.\u003c\/p\u003e\u003cdiv class=\"richGridWrap richGridWrap-2c richGridWrap-valignTop mgnTB\"\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-1.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eImage Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-2.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eObject Recognition\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-3.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eSemantic Segmentation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-4.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePose Estimation\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-5.jpg\" class=\"round1234\" \/\u003e\u003cp\u003eMonocular Depth\u003c\/p\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-19-6.jpg\" class=\"round1234\" \/\u003e\u003cp\u003ePosition Tracking\u003c\/p\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003cdiv class=\"pdT\" style=\"background: #E4E4E4;\"\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eAI Computing Neural Networks SDK\u003c\/div\u003e\u003cp class=\"richDesc\"\u003eJetson Development Pack (JetPack) is an on-demand all-in-one package that bundles and installs all development software tools for the NVIDIA Jetson embedded platform.\u003c\/p\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-21.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eJetson TX2 NX Module Specification\u003c\/div\u003e\u003ctable class=\"tabSty-2 subBlock\"\u003e\u003ctbody\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eAI Performance\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1.33 TFLOPS\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eGPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eNVIDIA Pascal Architecture with 256 CUDA cores\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCPU\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eDual-core NVIDIA Denver 2 64-bit CPU and Quad-core Arm Cortex-A57 MPCore processor complex \u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eMemory\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e4 GB 128 bit LPDDR4 51.2 GB\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eStorage\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e16 GB eMMC 5.1\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePower\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e7.5 W | 15 W\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003ePCIe\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x1 + 1x2PCIe Gen2, total 30 GT\/s\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eCSI\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003eUp to 5 cameras (up to 12 via virtual channels)12-Ch MIPI CSI-2 (3x4 or 5x2)D-PHY 1.2 (up to 30 Gbps)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Encode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e1x 4K60 | 3x 4K30 | 4x 1080p60 | 8x 1080p30 (H.265)1x 4K60 | 3x 4K30 | 7x 1080p60 | 14x 1080p30 (H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eVideo Decode\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2x 4K60 | 4x 4p30 | 7x 1080p60 | 14x 1080p30(H.265 and H.264)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDisplay\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e2 Multimode DP 1.2\/eDP 1.4\/HDMI 2.01 x 2 DSI (1.5Gbps\/lane)\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eNetworking\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e10\/100\/1000 BASE-T Ethernet\u003c\/td\u003e\u003c\/tr\u003e\u003ctr\u003e\u003cth\u003e\u003cstrong class=\"hilitColor\"\u003eDimensions\u003c\/strong\u003e\u003c\/th\u003e\u003ctd\u003e69.6 mm x 45 mm260-pin SO-DIMM connector\u003c\/td\u003e\u003c\/tr\u003e\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle hilitColor\"\u003eOutline dimensions\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-details-size.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e\u003cdiv class=\"richTitle\"\u003eResources \u0026amp; Services\u003c\/div\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/LCD\/common\/res_banner.png\" \/\u003e\u003cdiv class=\"bgGrey\"\u003e\u003cstrong\u003eWiki:\u003c\/strong\u003e\u003ca href=\"http:\/\/www.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\" target=\"_blank\"\u003ewww.waveshare.com\/wiki\/JETSON-TX2-NX-DEV-KIT\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e\u003c\/div\u003e\u003ch2\u003eLieferumfang\u003c\/h2\u003e\u003col\u003e\u003cli\u003eWaveshare TX2 NX development kit:Jetson TX2 NX ModuleJETSON-IO-BASE-B            Cooling Fan\u003c\/li\u003e\u003cli\u003e128GB NVMe SSD\u003c\/li\u003e\u003cli\u003eWireless network card\u003c\/li\u003e\u003cli\u003e\u003cspan class=\"noteBg\"\u003eOPTIONS\u003c\/span\u003e Power adapter\u003c\/li\u003e\u003cli\u003eEthernet cable (~1.5m)\u003c\/li\u003e\u003c\/ol\u003e\u003cdiv class=\"imgTextWrap\"\u003e\u003cdiv\u003e1\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-TX2-NX-DEV-KIT-1_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e2\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/JETSON-IO-BASE-B-details-9-2_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e3\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/accessories\/8375-WIFI-module_220.jpg\" \/\u003e\u003c\/div\u003e\u003cdiv\u003e4\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/JETSON-TX2-NX-DEV-KIT\/Power-supply-19V-2.37A-desktop-type_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003cdiv\u003e5\u003ca href=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1.jpg\" target=\"_blank\"\u003e\u003cimg src=\"https:\/\/www.waveshare.com\/img\/devkit\/general\/Straight-Through-Ethernet-Cable-blue-1_220.jpg\" \/\u003e\u003c\/a\u003e\u003c\/div\u003e\u003c\/div\u003e","brand":"WaveShare","offers":[{"title":"Default Title","offer_id":53568442892625,"sku":"WSAL23036","price":177443.96,"currency_code":"HUF","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0983\/3798\/0753\/files\/wsal230351-439629.jpg?v=1776635593"}],"url":"https:\/\/albistech.eu\/de\/collections\/ai__boards_kits__jetson_tx2.oembed","provider":"Albistech","version":"1.0","type":"link"}