{"id":63835,"date":"2022-04-24T15:23:51","date_gmt":"2022-04-24T07:23:51","guid":{"rendered":"https:\/\/www.seeedstudio.com\/blog\/?p=63835"},"modified":"2022-11-03T19:01:15","modified_gmt":"2022-11-03T11:01:15","slug":"nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin","status":"publish","type":"post","link":"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/24\/nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin\/","title":{"rendered":"NVIDIA Orin:  bring your next-gen AI products with Jetson AGX Orin and NX Orin"},"content":{"rendered":"\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-large is-resized\"><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-1030x579.png\" alt=\"\" class=\"wp-image-63855\" width=\"773\" height=\"434\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-1030x579.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-300x169.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-768x432.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-1536x864.png 1536w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4-1024x576.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4.png 1920w\" sizes=\"(max-width: 773px) 100vw, 773px\" \/><\/figure><\/div>\n\n\n\n<p><strong>? Exciting news!&nbsp;<\/strong><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-AGX-Orin-Developer-Kit-p-5314.html\">NVIDIA Jetson AGX Orin Developer Kit<\/a>&nbsp;<strong>is available at Seeed now for pre-order, be the first one to <\/strong>get the <strong>AGX Orin Dev kit now!<\/strong> Check out our all-new release for NVIDIA Jetson series:<\/p>\n\n\n\n<p><\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><meta charset=\"utf-8\"><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-AGX-Orin-Developer-Kit-p-5314.html\">NVIDIA Jetson AGX Orin Developer Kit<\/a>&nbsp;&#8211; Pre-order now<\/li><li>reComputer&nbsp;<a class=\"\" href=\"https:\/\/www.seeedstudio.com\/Jetson-10-1-H0-p-5335.html\">Jetson -10<\/a>&nbsp;starting from $199,&nbsp;shipping 4\/30<\/li><li>reComputer&nbsp;<a class=\"\" href=\"https:\/\/www.seeedstudio.com\/Jetson-20-1-H1-p-5328.html\">Jetson -20 Xavier NX 8GB\/16GB<\/a>,&nbsp;shipping in July&nbsp;<\/li><li><a class=\"\" href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-50-1-H4-p-5338.html\">reServer Orin<\/a>&nbsp;Q4<\/li><li><a class=\"\" href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-20-1-H2-p-5337.html\">reServer NX<\/a>&nbsp;Q2<\/li><\/ul>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Jetson Orin Production Module Roadmap 2022<\/h2>\n\n\n\n<p>From NVIDIA&#8217;s updated <a href=\"https:\/\/developer.nvidia.com\/embedded\/develop\/roadmap\">Jetson roadmap<\/a>, Jetson Orin production modules will be available starting in 2022. The production module will be essential to product design and following AI products roadmap. <\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Jetson AGX Orin 32GB in July, $899 over 1K units. <\/li><li><meta charset=\"utf-8\">Jetson AGX Orin 64GB in October, $1599 over 1K units<\/li><li>Jetson Orin NX 16GB in September, $599 over 1K units. <\/li><li><meta charset=\"utf-8\">Jetson Orin NX 8GB in December, $399 over 1K units<\/li><\/ul>\n\n\n\n<p><meta charset=\"utf-8\"><strong><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-AGX-Orin-Developer-Kit-p-5314.html\">NVIDIA Jetson AGX Orin Developer Kit<\/a>&nbsp;is available at Seeed now for pre-orde<\/strong>r. If you already used\/considering about using AGX Xavier for your product, it will be a good time to have a test with AGX Orin Dev Kit to obtain 6 to 8 times AI performance, 64GB module will be $300 higher than AGX Xavier, however, 32GB version will stay at $899. According to NVIDIA&#8217;s roadmap, people can get AGX Orin production module for their mass product as soon as in July, 2022. <\/p>\n\n\n\n<p>Comes to the superior AI performance, Seeed also released <strong><a href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-50-1-H4-p-5338.html\">reServer &#8211; Jetson AGX Orin<\/a><\/strong> with pre-built <a href=\"https:\/\/developer.nvidia.com\/nvidia-triton-inference-server\">Triton Inference Server<\/a>, 256 GB NVME SSD, Dual SATA III 6.0, high-speed 10 Gigabit Ethernet port, and ensure the device <strong>C<\/strong>hill 24\/7 with Vapor Chamber heatsink. reServer Jetson AGX Orin is prepared for the most powerful and relaible local inference server for heavy ML workload and concurrent execution of multiple deep learning applications, bringing fast and scalable AI in production. <\/p>\n\n\n\n<p>In past three years, Xavier NX has been widely deployed into Agriculture, Healthcare, Transporation, and Retail applications. With the same form factor, now AI performance can be lifted up to 5 times if you switch to the Orin NX module. Will Orin NX be your next consideration?  <\/p>\n\n\n\n<p>But back to now, don&#8217;t miss out <a href=\"https:\/\/www.seeedstudio.com\/Jetson-20-1-H1-p-5328.html\"><strong>Seeed Jetson-20 built with Xavier NX 8GB\/16GB<\/strong><\/a>, starting from $599, is ready to ship in July! Start your real-world development and deployment quickly with the NX module as well as rich interfaces on a carrier borad, thermal management and reComputer case. <\/p>\n\n\n\n<p>Let&#8217;s take a close look at the specification comparison between Xavier NX and Orin NX, AGX Xavier and AGX Orin. We will keep updating our new product progress for Jetson Orin! Please also check out my previous blog <em><a href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/03\/17\/compare-nvidia-jetson-agx-orin-with-agx-xavier-6x-ai-performance-in-advance-ampere-gpu-cpu-memory-storage\/\">Compare NVIDIA Jetson AGX Orin with AGX Xavier: 8x AI performance, in-advance Ampere GPU, CPU, Memory &amp; Storage<\/a><\/em>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Compare Jetson Orin to Jetson AGX Xavier and Xavier NX<\/h2>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"590\" height=\"428\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-41.png\" alt=\"\" class=\"wp-image-63859\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-41.png 590w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-41-300x218.png 300w\" sizes=\"(max-width: 590px) 100vw, 590px\" \/><figcaption>NVIDIA: <em><a href=\"https:\/\/developer.nvidia.com\/blog\/delivering-server-class-performance-at-the-edge-with-nvidia-jetson-orin\/\">Jetson Xavier and Jetson Orin modules AI TOPS performance comparison<\/a><\/em><\/figcaption><\/figure><\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-benchmarks\">Jetson Benchmark<\/a>: <strong>Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><thead><tr><th>Model<\/th><th>Jetson Xavier NX<\/th><th>Jetson AGX Xavier<\/th><th>Jetson AGX Orin<\/th><\/tr><\/thead><tbody><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/models\/tlt_peoplenet\" target=\"_blank\" rel=\"noreferrer noopener\">PeopleNet<\/a><\/td><td>124<\/td><td>196<\/td><td>536<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/actionrecognitionnet\" target=\"_blank\" rel=\"noreferrer noopener\">Action Recognition 2D<\/a><\/td><td>245<\/td><td>471<\/td><td>1577<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/actionrecognitionnet\" target=\"_blank\" rel=\"noreferrer noopener\">Action Recognition 3D<\/a><\/td><td>21<\/td><td>32<\/td><td>105<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/lprnet\" target=\"_blank\" rel=\"noreferrer noopener\">LPR Net<\/a><\/td><td>706<\/td><td>1190<\/td><td>4118<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/dashcamnet\" target=\"_blank\" rel=\"noreferrer noopener\">Dashcam Net<\/a><\/td><td>425<\/td><td>671<\/td><td>1908<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/bodyposenet\" target=\"_blank\" rel=\"noreferrer noopener\">Bodypose Net<\/a><\/td><td>105<\/td><td>172<\/td><td>559<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/nemo\/models\/stt_en_citrinet_1024\" target=\"_blank\" rel=\"noreferrer noopener\">ASR: Citrinet 1024<\/a><\/td><td>27<\/td><td>34<\/td><td>113<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/models\/bertbaseuncasedfornemo\" target=\"_blank\" rel=\"noreferrer noopener\">NLP: BERT-base<\/a><\/td><td>58<\/td><td>94<\/td><td>287<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/nemo\/models\/tts_en_e2e_fastpitchhifigan\" target=\"_blank\" rel=\"noreferrer noopener\">TTS: Fastpitch-HifiGAN<\/a><\/td><td>7<\/td><td>9<\/td><td>42<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Jetson AGX Orin 64GB and 32GB Modules<\/h3>\n\n\n\n<p>NVIDIA Jetson AGX Orin modules deliver up to 275 TOPS of AI performance with power configurable between 15W and 60W. This gives you up to 8X the performance of Jetson AGX Xavier in the same compact form factor for robotics and other autonomous machine use cases.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full\"><img decoding=\"async\" width=\"514\" height=\"296\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-35.png\" alt=\"\" class=\"wp-image-63838\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-35.png 514w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-35-300x173.png 300w\" sizes=\"(max-width: 514px) 100vw, 514px\" \/><\/figure><\/div>\n\n\n\n<figure class=\"wp-block-table is-style-stripes\"><table><tbody><tr><td><\/td><td>Jetson AGX Orin Series<\/td><td><\/td><td>Jetson AGX Xavier Series<\/td><td><\/td><\/tr><tr><td><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_agxorin\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson AGX Orin 32GB<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_agxorin\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson AGX Orin 64GB<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_agxxavier\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson AGX Xavier 64GB<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_agxxavier\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson AGX Xavier<\/a> 32GB<\/td><\/tr><tr><td>Price (1K+ Units)<\/td><td>$899<\/td><td>$1599<\/td><td>$1299<\/td><td>$899<\/td><\/tr><tr><td>AI Performance<\/td><td>200 TOPS<\/td><td>275 TOPS<\/td><td>32 TOPs<\/td><td>32 TOPs<\/td><\/tr><tr><td>GPU<\/td><td>1792-core NVIDIA Ampere GPU with<br>56 Tensor Cores<\/td><td>2048-core NVIDIA Ampere GPU with<br>64 Tensor Cores<\/td><td>512-core NVIDIA Volta\u2122 GPU with<br>64 Tensor Cores<\/td><td>512-core NVIDIA Volta\u2122 GPU with<br>64 Tensor Cores<\/td><\/tr><tr><td>CPU<\/td><td>8-core NVIDIA Arm\u00ae Cortex A78AE v8.2 64-bit CPU<br>2MB L2 + 4MB L3<\/td><td>12-core NVIDIA Arm\u00ae Cortex A78AE v8.2 64-bit CPU<br>3MB L2 + 6MB L3<\/td><td>8-core NVIDIA Carmel Arm\u00aev8.2<br>64-bit CPU<br>8MB L2 + 4MB L3<\/td><td>8-core NVIDIA Carmel Arm\u00aev8.2<br>64-bit CPU<br>8MB L2 + 4MB L3<\/td><\/tr><tr><td>DL Accelerator<\/td><td>2x NVDLA v2.0<\/td><td>2x NVDLA v2.0<\/td><td>2x NVDLA v1<\/td><td>2x NVDLA v1<\/td><\/tr><tr><td>Memory<\/td><td>32 GB<\/td><td>64GB<\/td><td>64 GB<\/td><td>32 GB<\/td><\/tr><tr><td>Storage<\/td><td>64GB eMMC 5.1<\/td><td>64GB eMMC 5.1<\/td><td>32 GB eMMC 5.1<\/td><td>32 GB eMMC 5.1<\/td><\/tr><tr><td>Power<\/td><td>15W &#8211; 40W<\/td><td>15W &#8211; 60W<\/td><td>10W | 15W | 30W<\/td><td>10W | 15W | 30W<\/td><\/tr><tr><td>Mechanical<\/td><td>100mm x 87mm<br>699-pin connector Integrated Thermal Transfer Plate<\/td><td>100mm x 87mm<br>699-pin connector Integrated Thermal Transfer Plate<\/td><td>100 mm x87 mm699-pin connector integrated Thermal Transfer Plate<\/td><td>100 mm x87 mm699-pin connector integrated Thermal Transfer Plate<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Jetson Orin NX 16GB and 8GB Modules<\/h3>\n\n\n\n<p>Jetson Orin NX modules deliver up to 100 TOPS of AI performance in the smallest Jetson form factor, with power configurable between 10W and 25W. The Orin NX Series is form factor compatible with the Jetson Xavier NX series and delivers up to 5x the performance, or up to 3X the performance at the same price.&nbsp;<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-34.png\" alt=\"\" class=\"wp-image-63836\" width=\"428\" height=\"324\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-34.png 428w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-34-300x227.png 300w\" sizes=\"(max-width: 428px) 100vw, 428px\" \/><\/figure><\/div>\n\n\n\n<figure class=\"wp-block-table aligncenter is-style-stripes\"><table><tbody><tr><td><\/td><td>Jetson Xavier NX Series<\/td><td><\/td><td>Jetson Orin NX Series<\/td><td><\/td><\/tr><tr><td><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_xavier\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson Xavier NX 16GB<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_xavier\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson Xavier NX<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_orin\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson Orin NX 8GB<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#jetson_orin\" target=\"_blank\" rel=\"noreferrer noopener\">Jetson Orin NX 16GB<\/a><\/td><\/tr><tr><td><\/td><td>$499<\/td><td>$399<\/td><td>$399<\/td><td>$599<\/td><\/tr><tr><td>AI Performance<\/td><td>21 TOPs<\/td><td>21 TOPs<\/td><td>70 TOPS<\/td><td>100 TOPS<\/td><\/tr><tr><td>GPU<\/td><td>384-core NVIDIA Volta\u2122 GPU with 48 Tensor Cores<\/td><td>384-core NVIDIA Volta\u2122 GPU with 48 Tensor Cores<\/td><td>1024-core NVIDIA Ampere GPU with<br>32 Tensor Cores<\/td><td>1024-core NVIDIA Ampere GPU with<br>32 Tensor Cores<\/td><\/tr><tr><td>CPU<\/td><td>6-core NVIDIA Carmel Arm\u00aev8.2 64-bit CPU<br>6MB L2 + 4MB L3<\/td><td>6-core NVIDIA Carmel Arm\u00aev8.2 64-bit CPU<br>6MB L2 + 4MB L3<\/td><td>6-core NVIDIA Arm\u00ae Cortex A78AE v8.2 64-bit CPU<br>1.5MB L2 + 4MB L3<\/td><td>8-core NVIDIA Arm\u00ae Cortex A78AE v8.2 64-bit CPU<br>2MB L2 + 4MB L3<\/td><\/tr><tr><td>DL Accelerator<\/td><td>2x NVDLA v1<\/td><td>2x NVDLA v1<\/td><td>1x NVDLA v2.0<\/td><td>2x NVDLA v2.0<\/td><\/tr><tr><td>Memory<\/td><td>16 GB<\/td><td>8 GB<\/td><td>8 GB<\/td><td>16 GB<\/td><\/tr><tr><td>Storage<\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#storage_note\" target=\"_blank\" rel=\"noreferrer noopener\">16 GB eMMC 5.1 <\/a><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#storage_note\" rel=\"noreferrer noopener\">*<\/a><\/td><td><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#storage_note\" target=\"_blank\" rel=\"noreferrer noopener\">16 GB eMMC 5.1 <\/a><a target=\"_blank\" href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-modules#storage_note\" rel=\"noreferrer noopener\">*<\/a><\/td><td>\u2014<br>(Supports external NVMe)<\/td><td>\u2014<br>(Supports external NVMe)<\/td><\/tr><tr><td>Power<\/td><td>10W | 15W | 20W<\/td><td>10W | 15W | 20W<\/td><td>10W &#8211; 20W<\/td><td>10W &#8211; 25W<\/td><\/tr><tr><td>Mechanical<\/td><td>69.6 mm x 45 mm260-pin SO-DIMM connector<\/td><td>69.6 mm x 45 mm 260-pin SO-DIMM connector<\/td><td>69.6mm x 45mm 260-pin SO-DIMM connector<\/td><td>69.6mm x 45mm 260-pin SO-DIMM connector<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/www.seeedstudio.com\/Jetson-10-1-A0-p-5336.html\">reComputer Jetson: real world AI at the Edge, starts from $199<\/a><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Built with <strong><a href=\"https:\/\/www.seeedstudio.com\/Jetson-10-1-H0-p-5335.html\">Jetson Nano<\/a><\/strong> 4GB\/ <strong><a href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-50-1-H4-p-5338.html\">Xavier NX 8GB\/16GB<\/a><\/strong><\/h3>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"305px;\" height=\"190px;\" src=\"https:\/\/lh4.googleusercontent.com\/v9rwNil04lG8puNPx7YxhOcSBllg4Y2tNgF2b5Hn7M_zUs9MSZNEdEi2EhsXqLcWKX14kvHUL-NK0rutzb4U865zulq-S3c6wXpRvL3CWiz5xH3cBcCZf5AL_RIhjay7L38w2H7A-34y\"><\/p>\n\n\n\n<div class=\"wp-block-blockspare-blockspare-buttons blockspare-245009c6-a478-4 blockspare-block-button-wrap\"><style>.blockspare-245009c6-a478-4 .blockspare-block-button{text-align:center;margin-top:30px;margin-bottom:30px}.blockspare-245009c6-a478-4 .blockspare-block-button span{color:#ffffff;border-width:1px;font-size:16px;font-family:Default}.blockspare-245009c6-a478-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button{background-color:#097c4e}.blockspare-245009c6-a478-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button:visited{background-color:#097c4e}.blockspare-245009c6-a478-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button:focus{background-color:#097c4e}@media screen and (max-width:1025px){.blockspare-245009c6-a478-4 .blockspare-block-button span{font-size:undefinedpx}}@media screen and (max-width:768px){.blockspare-245009c6-a478-4 .blockspare-block-button span{font-size:undefinedpx}}<\/style><div class=\"blockspare-block-button\"><a href=\"https:\/\/www.seeedstudio.com\/Jetson-10-1-A0-p-5336.html\" class=\"blockspare-button blockspare-button-shape-rounded blockspare-button-size-small\"><span>Buy Now<\/span><\/a><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li>Edge AI box fit into anywhere<\/li><li>Embedded Jetson Nano\/NX Module<\/li><li>Pre-installed Jetpack for easy deployment<\/li><li>Nearly same form factor with Jetson Developer Kits, with rich set of I\/Os<\/li><li>Stackable and expandable<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">reServer Jetson: inference center for the edge<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Powered by Jetson <a href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-20-1-H2-p-5337.html\">NX<\/a><\/h3>\n\n\n\n<p class=\"has-text-align-center\"><img decoding=\"async\" width=\"235px;\" height=\"226px;\" src=\"https:\/\/lh5.googleusercontent.com\/rtp9OSf7JnWHH4hNCrJRR6HXlbFhblTI7d9dCN4A6Jd-ULrZPy839CyZDhiAAk1k7AJ-P4Pffp8qTg-E2pZAZhHw0EPHkTrJBxF5BcTG9hdGq1xECO8U0NJeajPWVyllSlhZgJrKMRJP\" alt=\"reserver\"><\/p>\n\n\n\n<div class=\"wp-block-blockspare-blockspare-buttons blockspare-cb8e53ea-c38b-4 blockspare-block-button-wrap\"><style>.blockspare-cb8e53ea-c38b-4 .blockspare-block-button{text-align:center;margin-top:30px;margin-bottom:30px}.blockspare-cb8e53ea-c38b-4 .blockspare-block-button span{color:#ffffff;border-width:1px;font-size:16px;font-family:Default}.blockspare-cb8e53ea-c38b-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button{background-color:#097c4e}.blockspare-cb8e53ea-c38b-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button:visited{background-color:#097c4e}.blockspare-cb8e53ea-c38b-4.wp-block-blockspare-blockspare-buttons .blockspare-block-button .blockspare-button:focus{background-color:#097c4e}@media screen and (max-width:1025px){.blockspare-cb8e53ea-c38b-4 .blockspare-block-button span{font-size:undefinedpx}}@media screen and (max-width:768px){.blockspare-cb8e53ea-c38b-4 .blockspare-block-button span{font-size:undefinedpx}}<\/style><div class=\"blockspare-block-button\"><a href=\"https:\/\/www.seeedstudio.com\/reServer-Jetson-50-1-H4-p-5338.html\" class=\"blockspare-button blockspare-button-shape-rounded blockspare-button-size-small\"><span>Buy Now<\/span><\/a><\/div><\/div>\n\n\n\n<ul class=\"wp-block-list\"><li>Rapid network access: 2.5GbE port x1 (RX: 2.35 Gbits\/sec, TX: 1.4 ~ 1.6 Gbits\/sec), 1GbE port x1<\/li><li>Hybrid connectivity:\u00a0Support 5G, 4G, LoRaWAN (modules not included)<\/li><li>Rich peripherals:\u00a0HDMI 2.0 x1\uff0cDP1.4 x1\uff0cUSB3.1 GEN2 (up to 10Gbit) x2<\/li><li>Expandable storage:\u00a0Dual SATA III data connectors for 3.5\u201d\/2.5&#8243; SATA hard disk drives<\/li><li>Excellent heat dissipation:\u00a0Quiet cooling bottom fan + aluminum heatsink cooling fan<\/li><li>Ready-to-use: Pre-installed Jetpack system 4.6.1<\/li><li>Pre-installed 2.5 inches 256GB SSD x1, up to SATA3<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1030\" height=\"569\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36-1030x569.png\" alt=\"\" class=\"wp-image-63839\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36-1030x569.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36-300x166.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36-768x424.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36-1024x565.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-36.png 1420w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">Software Features<\/h2>\n\n\n\n<p>In software perspective, Jetson AGX Orin Developer Kit features a powerful NVIDIA native AI software stack with support for SDKs and software platforms, including the following:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>NVIDIA JetPack<\/li><li>NVIDIA Riva<\/li><li>NVIDIA DeepStream<\/li><li>NVIDIA Isaac<\/li><li>NVIDIA TAO<\/li><\/ul>\n\n\n\n<p>Seeed Jetson series is compatible with the entire NVIDIA Jetson software stack, industry-leading AI development, and device management platforms. Welcome developers to join communities with all the coolest AI ideas and get ready for AI production.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a href=\"https:\/\/www.edgeimpulse.com\/\">Edge Impulse<\/a>: the leading development platform for machine learning on edge devices, free for developers and trusted by enterprises. Try it now for building models in minutes.<\/li><li><a href=\"https:\/\/alwaysai.co\/\">AlwaysAI<\/a>: a complete developer platform for Computer Vision applications on IoT devices. Get started today with our<a href=\"https:\/\/wiki.seeedstudio.com\/alwaysAI-Jetson-Getting-Started\/#object-detection-on-pre-loaded-video-file\">&nbsp;tutorial, and quickly deploy CV applications at the edge.<\/a><\/li><li><a href=\"https:\/\/github.com\/ultralytics\/yolov5\">YOLOv5<\/a>&nbsp;: YOLO is an abbreviation for the term \u2018You Only Look Once\u2019. It is an algorithm that detects and recognizes various objects in an image in real-time.&nbsp;<strong><a href=\"https:\/\/ultralytics.com\/yolov5\">YOLOv5<\/a>&nbsp;<\/strong>is the latest version of YOLO which performs much better than the previous iterations of YOLO and it is now based on the PyTorch framework.<\/li><li><a href=\"https:\/\/roboflow.com\/\">Roboflow<\/a>: annotate images super fast, right within your browser. Easily train a working computer vision model.<a href=\"https:\/\/alwaysai.co\/schedule-demo\"><\/a><\/li><li><a href=\"https:\/\/deci.ai\/\">Deci<\/a>:<em>&nbsp;<\/em>empowers deep learning developers to accelerate inference on edge or cloud, reach production faster, and maximize hardware potential. Check out&nbsp;<a href=\"https:\/\/deci.ai\/resources\/videos\/engineering-best-practices-deep-learning-nvidia-jetson\/\">How to Deploy and Boost Inference on NVIDIA Jetson<\/a>.<\/li><li><a href=\"https:\/\/cogniteam.com\/\">Nimbus<\/a>:&nbsp;log on to Nimbus, simply drag and drop to configure your robot application in the cloud.<\/li><li><a href=\"https:\/\/www.allxon.com\/\">Allxon<\/a>: Enable Efficient Remote Hardware Management Services for NVIDIA Jetson Platform. Enjoy an exclusive 90-day free trial to unlock all functions with code&nbsp;<strong>H4U-NMW-CPK<\/strong>. Read our partnership story&nbsp;<a href=\"https:\/\/www.seeedstudio.com\/blog\/2021\/12\/30\/seeed-partners-with-allxon-to-enable-efficient-remote-hardware-management-services-for-nvidia-jetson-platform\/\">here<\/a>.<\/li><\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">JETSON BENCHMARKS<\/h1>\n\n\n\n<p>NVIDIA Jetson is used to deploy a wide range of popular DNN models and ML frameworks to the edge with high-performance inferencing, for tasks like real-time classification and object detection, pose estimation, semantic segmentation, and natural language processing (NLP). The tables below show inferencing benchmarks from the NVIDIA Jetson submissions to the MLPerf Inference Edge category.<\/p>\n\n\n\n<p><strong>Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><thead><tr><th>Model<\/th><th><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Module-p-4421.html\">Jetson Xavier NX<\/a><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-xavier-nx\"> (TensorRT)<\/a><\/th><th>NVIDIA Orin (TensorRT)<\/th><\/tr><\/thead><tbody><tr><td>Image Classification<br>ResNet-50<\/td><td>1243.14<\/td><td>6138.84<\/td><\/tr><tr><td>Object Detection<br>SSD-small<\/td><td>1782.53<\/td><td>6883.49<\/td><\/tr><tr><td>Object Detection<br>SSD-Large<\/td><td>36.69<\/td><td>207.66<\/td><\/tr><tr><td>Speech to Text<br>RNN-T<\/td><td>260.52<\/td><td>1110.23<\/td><\/tr><tr><td>Natural Language<br>Processing<br>BERT-Large<\/td><td>61.40<\/td><td>476.34<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li>NVIDIA Orin can be found in Jetson AGX Orin<\/li><li>These are preview results, and can be found at:&nbsp;<a href=\"https:\/\/mlcommons.org\/en\/inference-edge-20\/\" target=\"_blank\" rel=\"noreferrer noopener\">v2.0 Results | MLCommons<\/a><\/li><li>These results were achieved with the NVIDIA Jetson AGX Orin Developer Kit running a preview of TensorRT 8.4.0, and CUDA 11.4<\/li><li>ResNet-50, SSD-small, and SSD-Large were run on the GPU, and both DLAs<\/li><li>Learn more about these results in the blog:&nbsp;<a href=\"https:\/\/blogs.nvidia.com\/blog\/2022\/04\/06\/mlperf-edge-ai-inference-orin\/\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA Orin Leaps Ahead in Edge AI in MLPerf Tests | NVIDIA Blog<\/a><\/li><\/ul>\n\n\n\n<p><strong>Jetson AGX Xavier and Jetson Xavier NX MLPerf v1.1 Results<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><thead><tr><th>Model<\/th><th><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-Xavier-NX-Module-p-4421.html\">Jetson Xavier NX (TensorRT)<\/a><\/th><th><a href=\"https:\/\/www.seeedstudio.com\/NVIDIA-Jetson-AGX-Xavier-Module-p-4420.html\">Jetson AGX Xavier 32GB <\/a><a href=\"https:\/\/developer.nvidia.com\/embedded\/jetson-agx-xavier\">(TensorRT)<\/a><\/th><\/tr><\/thead><tbody><tr><td>Image Classification<br>ResNet-50<\/td><td>1245.10<\/td><td>2039.11<\/td><\/tr><tr><td>Object Detection<br>SSD-small<\/td><td>1786.91<\/td><td>2833.59<\/td><\/tr><tr><td>Object Detection<br>SSD-Large<\/td><td>36.97<\/td><td>55.16<\/td><\/tr><tr><td>Speech to Text<br>RNN-T<\/td><td>259.67<\/td><td>416.13<\/td><\/tr><tr><td>Natural Language<br>Processing<br>BERT-Large<\/td><td>61.34<\/td><td>96.73<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li>Full Results can be found at&nbsp;<a href=\"https:\/\/mlcommons.org\/en\/inference-edge-11\/\" target=\"_blank\" rel=\"noreferrer noopener\">v1.1 Results | MLCommons<\/a><\/li><li>These results were achieved on Jetson AGX Xavier Developer Kit and Jetson Xavier NX Developer kit running Jetpack 4.6, TensorRT 8.0.1, CUDA 10.2<\/li><li>ResNet-50, SSD-small, and SSD-Large were run on the GPU and both DLAs<\/li><li>These MLPerf Results can be reproduced with the code in the following link:&nbsp;<a href=\"https:\/\/github.com\/mlcommons\/inference_results_v2.0\/tree\/master\/closed\/NVIDIA\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/github.com\/mlcommons\/inference_results_v2.0\/tree\/master\/closed\/NVIDIA<\/a><\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Jetson Pretrained Model Benchmarks<\/h2>\n\n\n\n<p><a href=\"https:\/\/developer.nvidia.com\/ai-models\" target=\"_blank\" rel=\"noreferrer noopener\">NVIDIA pretrained models<\/a>&nbsp;from NGC start you off with highly accurate and optimized models and model architectures for various use cases. Pretrained models are production-ready. You can further customize these models by training with your own real or synthetic data, using the&nbsp;NVIDIA TAO&nbsp;(Train-Adapt-Optimize) workflow to quickly build an accurate and ready-to-deploy model. The table below shows inferencing benchmarks for some of pretrained models running on Jetson modules. <\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Jetson Xavier NX and Jetson AGX Orin MLPerf v2.0 Results<\/strong><\/h3>\n\n\n\n<figure class=\"wp-block-table is-style-regular\"><table><thead><tr><th>Model<\/th><th>Jetson Xavier NX<\/th><th>Jetson AGX Xavier<\/th><th>Jetson AGX Orin<\/th><\/tr><\/thead><tbody><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/models\/tlt_peoplenet\" target=\"_blank\" rel=\"noreferrer noopener\">PeopleNet<\/a><\/td><td>124<\/td><td>196<\/td><td>536<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/actionrecognitionnet\" target=\"_blank\" rel=\"noreferrer noopener\">Action Recognition 2D<\/a><\/td><td>245<\/td><td>471<\/td><td>1577<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/actionrecognitionnet\" target=\"_blank\" rel=\"noreferrer noopener\">Action Recognition 3D<\/a><\/td><td>21<\/td><td>32<\/td><td>105<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/lprnet\" target=\"_blank\" rel=\"noreferrer noopener\">LPR Net<\/a><\/td><td>706<\/td><td>1190<\/td><td>4118<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/dashcamnet\" target=\"_blank\" rel=\"noreferrer noopener\">Dashcam Net<\/a><\/td><td>425<\/td><td>671<\/td><td>1908<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/tao\/models\/bodyposenet\" target=\"_blank\" rel=\"noreferrer noopener\">Bodypose Net<\/a><\/td><td>105<\/td><td>172<\/td><td>559<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/nemo\/models\/stt_en_citrinet_1024\" target=\"_blank\" rel=\"noreferrer noopener\">ASR: Citrinet 1024<\/a><\/td><td>27<\/td><td>34<\/td><td>113<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/models\/bertbaseuncasedfornemo\" target=\"_blank\" rel=\"noreferrer noopener\">NLP: BERT-base<\/a><\/td><td>58<\/td><td>94<\/td><td>287<\/td><\/tr><tr><td><a href=\"https:\/\/catalog.ngc.nvidia.com\/orgs\/nvidia\/teams\/nemo\/models\/tts_en_e2e_fastpitchhifigan\" target=\"_blank\" rel=\"noreferrer noopener\">TTS: Fastpitch-HifiGAN<\/a><\/td><td>7<\/td><td>9<\/td><td>42<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li>These Benchmarks were run using Jetpack 5.0<\/li><\/ul>\n\n\n\n<p>Jetpack 5.0 includes L4T with Linux kernel 5.10 and a reference file system based on Ubuntu 20.04. Jetpack 5.0 enables a full compute stack update with CUDA 11.x and new versions of cuDNN and Tensor RT. It will include UEFI as a CPU bootloader and will also bring support for OP-TEE as a trusted execution environment. Finally, there will be an update to DLA support for NVDLA 2.0, as well as a VPI update to support the next generation PVA v2.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Each Jetson module was run with maximum performance (MAX-N mode for Jetson AGX Xavier (32 GB) and Jetson AGX Orin, and 20W mode for Jetson Xavier NX)<\/li><li>Reproduce these results by downloading these models from the NVIDIA NGC catalog<\/li><\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">NVIDIA Jetson powered Edge AI platform at Seeed<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.seeedstudio.com\/tag\/nvidia.html\"><img loading=\"lazy\" decoding=\"async\" width=\"1030\" height=\"124\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39-1030x124.png\" alt=\"\" class=\"wp-image-63854\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39-1030x124.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39-300x36.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39-768x92.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39-1024x123.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-39.png 1180w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/a><\/figure>\n\n\n\n<p>At Seeed, you will find everything you want to work with&nbsp;<a href=\"https:\/\/www.seeedstudio.com\/tag\/nvidia.html\">NVIDIA Jetson Platform<\/a>&nbsp;\u2013 official NVIDIA Jetson Dev Kits, Seeed-designed carrier boards, and edge devices, as well as accessories.<\/p>\n\n\n\n<p>Seeed will continue working on the Jetson product line and will be ready to combine our partners\u2019 unique technology with Seeed\u2019s hardware expertise for an end-to-end solution.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><a href=\"https:\/\/www.seeedstudio.com\/blog\/edge-ai-partner-program\/\">Join Seeed as an Edge AI Partner<\/a>: Transform Your Business, Delivering Real-World AI Together<\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.seeedstudio.com\/blog\/edge-ai-partner-program\/\"><img loading=\"lazy\" decoding=\"async\" width=\"1030\" height=\"397\" src=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38-1030x397.png\" alt=\"\" class=\"wp-image-63853\" srcset=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38-1030x397.png 1030w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38-300x116.png 300w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38-768x296.png 768w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38-1024x395.png 1024w, https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/image-38.png 1142w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/a><\/figure>\n\n\n\n<ul class=\"wp-block-list\"><li>Integrate your unique AI technique into our current hardwares:&nbsp;<strong>resell or co-brand licensed devices<\/strong>&nbsp;at our channels.&nbsp;<\/li><li>Build your next-gen AI product powered by the NVIDIA Jetson module and bring your product concept to the market with Seeed\u2019s&nbsp;<strong>Agile Manufacturing 0-\u221e.<\/strong><\/li><li>Co-inventing with Seeed. Combining our partners\u2019 unique skills and Seeed\u2019s hardware expertise, let\u2019s unlock next AI ideas&nbsp;<\/li><\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>? Exciting news!&nbsp;NVIDIA Jetson AGX Orin Developer Kit&nbsp;is available at Seeed now for pre-order, be<\/p>\n","protected":false},"author":200,"featured_media":63855,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","_price":"","_stock":"","_tribe_ticket_header":"","_tribe_default_ticket_provider":"","_tribe_ticket_capacity":"0","_ticket_start_date":"","_ticket_end_date":"","_tribe_ticket_show_description":"","_tribe_ticket_show_not_going":false,"_tribe_ticket_use_global_stock":"","_tribe_ticket_global_stock_level":"","_global_stock_mode":"","_global_stock_cap":"","_tribe_rsvp_for_event":"","_tribe_ticket_going_count":"","_tribe_ticket_not_going_count":"","_tribe_tickets_list":"[]","_tribe_ticket_has_attendee_info_fields":false,"iawp_total_views":0,"footnotes":""},"categories":[1],"tags":[4224,4231,4261],"class_list":["post-63835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-nvidia-agx-orin-dev-kit","tag-nvidia-jetson-agx-orin","tag-nvidia-orin"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.0 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NVIDIA Orin: bring your next-gen AI products with Jetson AGX Orin and NX Orin - Latest News from Seeed Studio<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/24\/nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA Orin: bring your next-gen AI products with Jetson AGX Orin and NX Orin - Latest News from Seeed Studio\" \/>\n<meta property=\"og:description\" content=\"? Exciting news!&nbsp;NVIDIA Jetson AGX Orin Developer Kit&nbsp;is available at Seeed now for pre-order, be\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/24\/nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin\/\" \/>\n<meta property=\"og:site_name\" content=\"Latest News from Seeed Studio\" \/>\n<meta property=\"article:published_time\" content=\"2022-04-24T07:23:51+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-11-03T11:01:15+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.seeedstudio.com\/blog\/wp-content\/uploads\/2022\/04\/Trending-elements-4.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1920\" \/>\n\t<meta property=\"og:image:height\" content=\"1080\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Elaine Wu\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Elaine Wu\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"12 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/24\/nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin\/\",\"url\":\"https:\/\/www.seeedstudio.com\/blog\/2022\/04\/24\/nvidia-orin-bring-your-next-gen-ai-products-with-jetson-agx-orin-and-nx-orin\/\",\"name\":\"NVIDIA Orin: bring your next-gen AI products with Jetson AGX Orin and NX Orin - 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