{"id":9771,"date":"2022-04-15T11:45:52","date_gmt":"2022-04-15T09:45:52","guid":{"rendered":"https:\/\/www.generationrobots.com\/blog\/?p=9771"},"modified":"2023-06-28T15:36:56","modified_gmt":"2023-06-28T13:36:56","slug":"our-nvidia-jetson-orin-and-nvidia-jetson-xavier-comparison","status":"publish","type":"post","link":"https:\/\/www.generationrobots.com\/blog\/en\/our-nvidia-jetson-orin-and-nvidia-jetson-xavier-comparison\/","title":{"rendered":"Our NVIDIA Jetson Orin and NVIDIA Jetson Xavier comparison"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"9771\" class=\"elementor elementor-9771\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-33df7711 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"33df7711\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-562c7428\" data-id=\"562c7428\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-705948f0 elementor-widget elementor-widget-text-editor\" data-id=\"705948f0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<p>The ultra-compact <strong><a class=\"catalogue\" title=\"NVIDIA Jetson computing boards\" href=\"\/en\/463-nvidia-jetson-computing-boards\">NVIDIA Jetson<\/a><\/strong> systems have long been ranked among the world\u2019s best-performing autonomous machines.<\/p>\n<p>Both extremely powerful and ultra-energy efficient, they\u2019re your ideal choice for <strong>embedded robotics<\/strong> and <strong>edge computing<\/strong>. And although it\u2019s hard to believe there was room for improvement, NVIDIA has risen to the challenge once again to deliver a <strong>new generation of modules<\/strong> that perform up to 8x better than their predecessors: <strong>NVIDIA Jetson Orin<\/strong>.<\/p>\n<h2 id=\"h-qu-est-ce-que-la-gamme-nvidia-jetson-orin\"><strong>What\u2019s new in NVIDIA Jetson Orin?<\/strong><\/h2>\n<p>The <strong><a class=\"catalogue\" title=\"NVIDIA Jetson AGX Orin Developer Kit\" href=\"\/en\/403969-jetson-agx-orin-developer-kit.html\">NVIDIA Jetson Orin modules<\/a><\/strong> offer the perfect balance between <strong>power<\/strong>, performance and <strong>low consumption<\/strong> for developing tomorrow\u2019s products using autonomous machines. They deliver up to <strong>275 TOPS<\/strong> in power and perform up to <strong>8 times better<\/strong> than Jetson Xavier. The NVIDIA Jetson AGX Orin systems satisfy the kind of performance and energy efficiency levels needed for autonomous machines in edge computing.<\/p>\n<p>With the Jetson AGX Orin development kit, deploying advanced robotics applications becomes even easier and faster, in fields such as <strong>smart city<\/strong> development, <strong>distribution<\/strong>, <strong>agriculture<\/strong>, logistics, industrial production and healthcare.<\/p>\n<h2><strong>What is edge computing?<\/strong><\/h2>\n<p>Edge computing allows <strong>a device that generates data to process it directly<\/strong> or using a <strong>local computer<\/strong>. So there\u2019s no need to send data to a remote centre for analysis. Heavy data processing therefore becomes much simpler, for video or audio content for example.<\/p>\n<p>Being able to process data in real time speeds up processes and all but <strong>eliminates latency<\/strong>, which is dangerous in robotics, in particular in autonomous and connected vehicles.<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><a href=\"https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1.jpg\"><img fetchpriority=\"high\" decoding=\"async\" class=\"wp-image-9718\" src=\"https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1-1024x614.jpg\" sizes=\"(max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1-1024x614.jpg 1024w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1-300x180.jpg 300w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1-768x461.jpg 768w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/edge-computer-nvidia-jetson-orin-1-1.jpg 1140w\" alt=\"What is Edge Computing?\" width=\"1024\" height=\"614\" \/><\/a><\/figure>\n<\/div>\n<h2 id=\"h-les-principales-evolutions-de-la-gamme-orin-par-rapport-a-la-gamme-xavier\"><strong>Key differences between Orin and Xavier<\/strong><\/h2>\n<p>The <strong>Jetson AGX Orin<\/strong> modules deliver an AI performance that can reach 275 TOPS with up to 64\u00a0GB of memory, compared to 30 TOPS with up to 32\u00a0GB of memory for Jetson Xavier. Power consumption of the Jetson Orin modules has also been optimised like never before, offering a maximum consumption of <strong>60 W compared to<\/strong> a maximum of <strong>40 W with Jetson Xavier. <\/strong><\/p>\n<p><strong>This makes it the world\u2019s most powerful AI computer for autonomous machines, without compromising on low, ultra-optimised consumption.<\/strong><\/p>\n<p>It performs up to 8 times better than the Jetson Xavier range for simultaneously handling a larger number of pipelines. Interface support is also optimised with multiple sensors, better satisfying recent trends in the field of next-generation embedded robotics.<\/p>\n<p>Networking, which in Jetson Xavier was possible only with conventional Ethernet, can now be achieved with Gigabit Ethernet in Jetson Orin. This makes data transmission much faster than before.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-76e76bb1 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"76e76bb1\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7c8e3f27\" data-id=\"7c8e3f27\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4a6bc114 elementor-widget elementor-widget-heading\" data-id=\"4a6bc114\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Jetson AGX Orin Developer Kit<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3433dcc7 elementor-widget elementor-widget-text-editor\" data-id=\"3433dcc7\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p style=\"text-align: center;\">3 598,80 \u20ac incl. VAT<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3f1d660 elementor-widget elementor-widget-image\" data-id=\"3f1d660\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"450\" height=\"450\" src=\"https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/nvidia-jetson-orin-module-de-developpement.jpg\" class=\"attachment-large size-large wp-image-9907\" alt=\"Kit de d\u00e9veloppement Nvidia Jetson AGX Orin\" srcset=\"https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/nvidia-jetson-orin-module-de-developpement.jpg 450w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/nvidia-jetson-orin-module-de-developpement-300x300.jpg 300w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/nvidia-jetson-orin-module-de-developpement-150x150.jpg 150w, https:\/\/www.generationrobots.com\/blog\/wp-content\/uploads\/2022\/04\/nvidia-jetson-orin-module-de-developpement-140x140.jpg 140w\" sizes=\"(max-width: 450px) 100vw, 450px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7e5c3a50 elementor-widget elementor-widget-text-editor\" data-id=\"7e5c3a50\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<ul>\n<li><strong>8x more powerful<\/strong> than the AGX Xavier<\/li>\n<li>Development of <strong>Edge Computing<\/strong> applications<\/li>\n<li><strong>Eco-design<\/strong> (between 15 and 60 W)<\/li>\n<\/ul>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7a13fa35 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"7a13fa35\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"\/en\/403969-jetson-agx-orin-developer-kit.html\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">Order yours now<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-19fcb8e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"19fcb8e\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-eaafd54\" data-id=\"eaafd54\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1c4117d elementor-widget elementor-widget-text-editor\" data-id=\"1c4117d\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\n<h2 id=\"h-tableau-comparatif-des-nvidia-jetson-xavier-avec-les-nvidia-jetson-orin\">NVIDIA Jetson Xavier vs. NVIDIA Jetson Orin Comparison Chart<\/h2>\n<figure class=\"wp-block-table is-style-stripes\" style=\"font-size: 16px;\">\n<table>\n<tbody>\n<tr>\n<td>\u00a0<\/td>\n<td><strong>Jetson Xavier NX 16\u00a0GB<\/strong><\/td>\n<td><strong>Jetson Xavier NX<\/strong><\/td>\n<td><strong>Jetson AGX Xavier 64 GB<\/strong><\/td>\n<td><strong>Jetson AGX Xavier<\/strong><\/td>\n<td><strong>Jetson Orin NX 8\u00a0GB<\/strong><\/td>\n<td><strong>Jetson Orin NX 16\u00a0GB<\/strong><\/td>\n<td><strong>Jetson Orin AGX 32 GB<\/strong><\/td>\n<td><strong>Jetson Orin AGX 64 GB<\/strong><\/td>\n<\/tr>\n<tr>\n<td><strong>AI performance<\/strong><\/td>\n<td>21 TOPS<\/td>\n<td>21 TOPS<\/td>\n<td>32 TOPS<\/td>\n<td>32 TOPS<\/td>\n<td>70 TOPS<\/td>\n<td>100 TOPS<\/td>\n<td>200 TOPS<\/td>\n<td>275 TOPS<\/td>\n<\/tr>\n<tr>\n<td><strong>GPU<\/strong><\/td>\n<td>384-core NVIDIA Volta\u2122 GPU (with 48 Tensor cores)<\/td>\n<td>384-core NVIDIA Volta\u2122 GPU (with 48 Tensor cores)<\/td>\n<td>512-core NVIDIA Volta\u2122 GPU (with 64 Tensor cores)<\/td>\n<td>512-core NVIDIA Volta\u2122 GPU (with 64 Tensor cores)<\/td>\n<td>1024-core NVIDIA Ampere GPU (with 32 Tensor cores)<\/td>\n<td>1024-core NVIDIA Ampere GPU (with 32 Tensor cores)<\/td>\n<td>1792-core NVIDIA Ampere GPU (with 56 Tensor cores)<\/td>\n<td>2048-core NVIDIA Ampere GPU (with 64 Tensor cores)<\/td>\n<\/tr>\n<tr>\n<td><strong>CPU<\/strong><\/td>\n<td>6-core NVIDIA Carmel ARM\u00ae v8.2 64-bit CPU 6 MB L2 + 4 MB L3<\/td>\n<td>6-core NVIDIA Carmel ARM\u00ae v8.2 64-bit CPU 6 MB L2 + 4 MB L3<\/td>\n<td>8-core NVIDIA Carmel ARM\u00ae v8.2 64-bit CPU 8 MB L2 + 4 MB L3<\/td>\n<td>8-core NVIDIA Carmel ARM\u00ae v8.2 64-bit CPU 8 MB L2 + 4 MB L3<\/td>\n<td>NVIDIA 8-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU 1.5\u00a0MB L2 + 4\u00a0MB L3<\/td>\n<td>6-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU 2\u00a0MB L2 + 4\u00a0MB L3<\/td>\n<td>8-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU 2\u00a0MB L2 + 4\u00a0MB L3<\/td>\n<td>12-core Arm\u00ae Cortex\u00ae-A78AE v8.2 64-bit CPU 3\u00a0MB L2 + 6\u00a0MB L3<\/td>\n<\/tr>\n<tr>\n<td><strong>DL accelerator<\/strong><\/td>\n<td>2x NVDLA<\/td>\n<td>2x NVDLA<\/td>\n<td>2x NVDLA<\/td>\n<td>2x NVDLA<\/td>\n<td>1x NVDLA v2<\/td>\n<td>2x NVDLA v2<\/td>\n<td>2x NVDLA v2<\/td>\n<td>2x NVDLA v2<\/td>\n<\/tr>\n<tr>\n<td><strong>Vision accelerator<\/strong><\/td>\n<td>2x PVA<\/td>\n<td>2x PVA<\/td>\n<td>2x PVA<\/td>\n<td>2x PVA<\/td>\n<td>1x PVA v2<\/td>\n<td>1x PVA v2<\/td>\n<td>1x PVA v2<\/td>\n<td>1x PVA v2<\/td>\n<\/tr>\n<tr>\n<td><strong>Memory<\/strong><\/td>\n<td>16 GB 128-bit LPDDR4x 59.7 GB\/s<\/td>\n<td>8 GB 128-bit LPDDR4x 59.7 GB\/s<\/td>\n<td>64 GB 256-bit LPDDR4x 136.5 GB\/s<\/td>\n<td>32 GB 256-bit LPDDR4x 136.5 GB\/s<\/td>\n<td>8 GB 128-bit LPDDR5 102.4 GB\/s<\/td>\n<td>16 GB 128-bit LPDDR5 102.4 GB\/s<\/td>\n<td>32 GB 256-bit LPDDR5 204.8 GB\/s<\/td>\n<td>64 GB 256-bit LPDDR5 204.8 GB\/s<\/td>\n<\/tr>\n<tr>\n<td><strong>Storage<\/strong><\/td>\n<td>16 GB eMMC 5.1<\/td>\n<td>16 GB eMMC 5.1<\/td>\n<td>32 GB eMMC 5.1<\/td>\n<td>32 GB eMMC 5.1<\/td>\n<td>(Supports external NVMe)<\/td>\n<td>(Supports external NVMe)<\/td>\n<td>64 GB eMMC 5.1<\/td>\n<td>64 GB eMMC 5.1<\/td>\n<\/tr>\n<tr>\n<td><strong>Camera<\/strong><\/td>\n<td>Up to 6 cameras <br \/>(24 via virtual channels) <br \/>14 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 30 Gbps)<\/td>\n<td>Up to 6 cameras <br \/>(24 via virtual channels) <br \/>14 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 30 Gbps)<\/td>\n<td>Up to 6 cameras <br \/>(36 via virtual channels) <br \/>16 lanes MIPI CSI-2 | 8 lanes SLVS-EC <br \/>D-PHY 1.2 (up to 40 Gbps)<\/td>\n<td>Up to 6 cameras <br \/>(36 via virtual channels) <br \/>16 lanes MIPI CSI-2 | 8 lanes SLVS-EC <br \/>D-PHY 1.2 (up to 40 Gbps)<\/td>\n<td>Up to 4 cameras (8 via virtual channels*) <br \/>8 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 20 Gbps)<\/td>\n<td>Up to 4 cameras (8 via virtual channels*) <br \/>8 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 20 Gbps)<\/td>\n<td>Up to 6 cameras (16 via virtual channels) <br \/>16 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 40 Gbps) | C-PHY 1.1 (up to 164 Gbps)<\/td>\n<td>Up to 6 cameras (16 via virtual channels) <br \/>16 lanes MIPI CSI-2 <br \/>D-PHY 1.2 (up to 40 Gbps) | C-PHY 1.1 (up to 164 Gbps)<\/td>\n<\/tr>\n<tr>\n<td><strong>Video encoder<\/strong><\/td>\n<td>2x 4K @ 60 (H.265) <br \/>10x 1080p @ 60 (H.265) <br \/>22x 1080p @ 30 (H.265)<\/td>\n<td>2x 4K @ 60 (H.265) <br \/>10x 1080p @ 60 (H.265) <br \/>22x 1080p @ 30 (H.265)<\/td>\n<td>4x 4K @ 60 (H.265) <br \/>16x 1080p @ 60 (H.265) <br \/>32x 1080p @ 30 (H.265)<\/td>\n<td>4x 4K @ 60 (H.265) <br \/>16x 1080p @ 60 (H.265) <br \/>32x 1080p @ 30 (H.265)<\/td>\n<td>1x 4K @ 60 (H.265) <br \/>3x 4K @ 30 (H.265) <br \/>6x 1080p @ 60 (H.265) <br \/>12x 1080p @ 30 (H.265)<\/td>\n<td>1x 4K @ 60 (H.265) <br \/>3x 4K @ 30 (H.265) <br \/>6x 1080p @ 60 (H.265) <br \/>12x 1080p @ 30 (H.265)<\/td>\n<td>1x 4K @ 60 (H.265) <br \/>3x 4K @ 30 (H.265) <br \/>6x 1080p @ 60 (H.265) <br \/>12x 1080p @ 30 (H.265)<\/td>\n<td>2x 4K @ 60 (H.265) <br \/>4x 4K @ 30 (H.265) <br \/>8x 1080p @ 60 (H.265) <br \/>16x 1080p @ 30 (H.265)<\/td>\n<\/tr>\n<tr>\n<td><strong>Video decoder<\/strong><\/td>\n<td>2x 8K @ 30 (H.265) <br \/>6x 4K @ 60 (H.265) <br \/>22x 1080p @ 60 (H.265) <br \/>44x 1080p @ 30 (H.265)<\/td>\n<td>2x 8K @ 30 (H.265) <br \/>6x 4K @ 60 (H.265) <br \/>22x 1080p @ 60 (H.265) <br \/>44x 1080p @ 30 (H.265)<\/td>\n<td>2x 8K @ 30 (H.265) <br \/>6x 4K @ 60 (H.265) <br \/>26x 1080p @ 60 (H.265) <br \/>52x 1080p @ 30 (H.265)<\/td>\n<td>2x 8K @ 30 (H.265) <br \/>6x 4K @ 60 (H.265) <br \/>26x 1080p @ 60 (H.265) <br \/>52x 1080p @ 30 (H.265)<\/td>\n<td>1x 8K @ 30 (H.265) <br \/>2x 4K @ 60 (H.265) <br \/>4x 4K @ 30 (H.265) <br \/>9x 1080p @ 60 (H.265) <br \/>18x 1080p @ 30 (H.265)<\/td>\n<td>1x 8K @ 30 (H.265) <br \/>2x 4K @ 60 (H.265) <br \/>4x 4K @ 30 (H.265) <br \/>9x 1080p @ 60 (H.265) <br \/>18x 1080p @ 30 (H.265)<\/td>\n<td>1x 8K @ 30 (H.265) <br \/>2x 4K @ 60 (H.265) <br \/>4x 4K @ 30 (H.265) <br \/>9x 1080p @ 60 (H.265) <br \/>18x 1080p @ 30 (H.265)<\/td>\n<td>1x 8K @ 30 (H.265) <br \/>3x 4K @ 60 (H.265) <br \/>7x 4K @ 30 (H.265) <br \/>11x 1080p @ 60 (H.265) <br \/>22x 1080p @ 30 (H.265)<\/td>\n<\/tr>\n<tr>\n<td><strong>PCIe<\/strong><\/td>\n<td>1 x1 (PCIe Gen3) + 1 x4<br \/>(PCIe Gen4)<\/td>\n<td>1 x1 (PCIe Gen3) + 1 x4<br \/>(PCIe Gen4)<\/td>\n<td>1 x8 + 1 x4 + 1 x2 + 2 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<td>1 x8 + 1 x4 + 1 x2 + 2 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<td>1 x4 + 3 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<td>1 x4 + 3 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<td>Up to 2 x8 + 2 x4 + 2 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<td>Up to 2 x8 + 2 x4 + 2 x1<br \/>(PCIe Gen4, Root Port and Endpoint)<\/td>\n<\/tr>\n<tr>\n<td><strong>Networking<\/strong><\/td>\n<td>10\/100\/1000 BASE-T Ethernet<\/td>\n<td>10\/100\/1000 BASE-T Ethernet<\/td>\n<td>10\/100\/1000 BASE-T Ethernet<\/td>\n<td>10\/100\/1000 BASE-T Ethernet<\/td>\n<td>1x GbE<\/td>\n<td>1x GbE<\/td>\n<td>1x GbE<br \/>4x 10GbE<\/td>\n<td>1x GbE<br \/>4x 10GbE<\/td>\n<\/tr>\n<tr>\n<td><strong>Display<\/strong><\/td>\n<td>2 multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0 <br \/>No DSI support<\/td>\n<td>2 multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0 <br \/>No DSI support<\/td>\n<td>3x multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0 <br \/>No DSI support<\/td>\n<td>3x multi-mode DP 1.4\/eDP 1.4\/HDMI 2.0 <br \/>No DSI support<\/td>\n<td>1x 8K @ 60 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n<td>1x 8K @ 60 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n<td>1x 8K @ 60 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n<td>1x 8K @ 60 multi-mode DP 1.4a (+MST)\/eDP 1.4a\/HDMI 2.1<\/td>\n<\/tr>\n<tr>\n<td><strong>Consumption<\/strong><\/td>\n<td>10 W | 15 W | 20 W<\/td>\n<td>10 W | 15 W | 20 W<\/td>\n<td>10 W | 15 W | 30 W<\/td>\n<td>10 W | 15 W | 30 W<\/td>\n<td>10 W | 15 W | 20 W<\/td>\n<td>10 W | 15 W | 25 W<\/td>\n<td>15 W | 20 W | 50 W<\/td>\n<td>15 W | 30 W | 60 W<\/td>\n<\/tr>\n<tr>\n<td><strong>Mechanical specifications<\/strong><\/td>\n<td>69.6 mm x 45 mm <br \/>260-pin SO-DIMM connector<\/td>\n<td>69.6 mm x 45 mm <br \/>260-pin SO-DIMM connector<\/td>\n<td>100 mm x 87 mm <br \/>699-pin connector <br \/>Integrated thermal transfer plate<\/td>\n<td>100 mm x 87 mm <br \/>699-pin connector <br \/>Integrated thermal transfer plate<\/td>\n<td>69.6 mm x 45 mm <br \/>260-pin SO-DIMM connector<\/td>\n<td>69.6 mm x 45 mm <br \/>260-pin SO-DIMM connector<\/td>\n<td>100 mm x 87 mm <br \/>699-pin Molex Mirror Mezz connector <br \/>Integrated thermal transfer plate<\/td>\n<td>100 mm x 87 mm <br \/>699-pin Molex Mirror Mezz connector <br \/>Integrated thermal transfer plate<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-13a74b8f elementor-section-boxed elementor-section-height-default 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Both extremely powerful and ultra-energy efficient, they\u2019re your ideal choice for embedded robotics and edge computing. And although it\u2019s hard to believe there was room for improvement, NVIDIA has risen to the challenge once again to deliver a new generation[&#8230;]<br \/> <a class=\"button\" href=\"https:\/\/www.generationrobots.com\/blog\/en\/our-nvidia-jetson-orin-and-nvidia-jetson-xavier-comparison\/\" style=\"float:right;\">Read this article &gt;&gt;<\/a><\/p>\n","protected":false},"author":188,"featured_media":9716,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10545],"tags":[],"class_list":["post-9771","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comparisons-and-tests-products"],"_links":{"self":[{"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/posts\/9771","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/users\/188"}],"replies":[{"embeddable":true,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/comments?post=9771"}],"version-history":[{"count":11,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/posts\/9771\/revisions"}],"predecessor-version":[{"id":14809,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/posts\/9771\/revisions\/14809"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/media\/9716"}],"wp:attachment":[{"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/media?parent=9771"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/categories?post=9771"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.generationrobots.com\/blog\/wp-json\/wp\/v2\/tags?post=9771"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}