Difference between revisions of "Edge AI SDK/Accelerator/RTX-A5000"
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| style="width: 300px; high: 200px; text-align: center;vertical-align: top;" | | | style="width: 300px; high: 200px; text-align: center;vertical-align: top;" | | ||
| − | [[File: | + | [[File:EAS NV RTX A5000.jpg|500x400px|RTXA5000.png]] |
| + | <span style="font-size:larger;">The NVIDIA RTX A5000 is a high-performance GPU for professional AI, data science, and graphics applications, designed for workstation use<span style="color: rgb(77, 77, 77); line-height: 20px;">.</span></span> | ||
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| + | | style="vertical-align: top;" | | ||
| style="vertical-align: top;" | | | style="vertical-align: top;" | | ||
| − | <span style="font-size:larger;"> | + | {| class="wikitable" style="width:100%; margin:auto; border:2px solid #ffffff; border-collapse:separate; border-spacing:10px; text-align:center;" |
| + | |- | ||
| + | ! style="background-color:#3664B1; color:white; width:150px; text-align:center; border:1px;" | AI Applications | ||
| + | | colspan="5" style="padding:0; border:1px solid black;" | | ||
| + | {| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;" | ||
| + | |- | ||
| + | | style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Vision AI Apps | ||
| + | | style="background-color:#D3D3D3; border:1px solid gray; text-align:center; padding:10px; width:25%;" | Pre-trained Models | ||
| + | | style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Monitoring | ||
| + | | style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Benchmark | ||
| + | |} | ||
| + | |||
| + | |- | ||
| + | ! style="background-color:#3664B1; color:white; text-align:center;" | Utility | ||
| + | | colspan="5" style="padding:0; border:1px solid black;" | | ||
| + | {| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;" | ||
| + | |- | ||
| + | | colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:50%;" | <span style="font-size:larger; color:white;">nvidia-smi</span> | ||
| + | | colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:50%;" | <span style="font-size:larger; color:white;">trtexec ( AI Benchmark )</span> | ||
| + | |} | ||
| + | |||
| + | |- | ||
| + | ! style="background-color:#3664B1; color:white; text-align:center;" | AI SDK | ||
| + | | colspan="5" style="padding:0; border:1px solid black;" | | ||
| + | {| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;" | ||
| + | |- | ||
| + | | colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:33%;" | <span style="font-size:larger; color:white;">TensorRT 8.6.1.6</span> | ||
| + | | colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:33%;" | <span style="font-size:larger; color:white;">CUDA 12.2</span> | ||
| + | | colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:33%;" | <span style="font-size:larger; color:white;">Deepstream 6.4</span> | ||
| + | |} | ||
| − | + | |- | |
| − | + | ! style="background-color:#3664B1; color:white; text-align:center;" | Driver | |
| − | + | | colspan="5" style="padding:0; border:1px solid black;" | | |
| − | + | {| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;" | |
| − | + | |- | |
| − | + | | colspan="5" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:100%;" | <span style="font-size:larger; color:white;">Nvidia Driver R535.104.12</span> | |
| + | |} | ||
| + | |- | ||
| + | ! style="background-color:#3664B1; color:white; width:150px; text-align:center; border:1px;" | OS / Kernel | ||
| + | | colspan="5" style="border:1px solid black; text-align:center; padding:15px;" | <span style="font-size:larger;">Ubuntu 22.04 ( 5.15.0-1027-intel-iotg )</span> | ||
| + | |} | ||
| + | <div style="font-size:large; color: rgb(77, 77, 77); line-height: 20px; text-align: center;">AI Software Stack on RTX-A5000 ( v3.0.0 )</div> <div style="text-align: right; margin-top: 10px;"> | ||
| + | {| style="border-collapse: separate; border-spacing: 10px; float: right; margin-right: 0" | ||
| + | |- | ||
| + | | style="width:20px; height:20px; background-color:#ffffff; border:1px solid black;" | | ||
| + | | style="text-align: left;" | Advantech | ||
| + | | style="width:20px; height:20px; background-color:#74B71B; border:1px solid black;" | | ||
| + | | style="text-align: left;" | NVIDIA | ||
| + | | style="width:20px; height:20px; background-color:#D3D3D3; border:1px solid black;" | | ||
| + | | style="text-align: left;" | Open Source | ||
| + | |} | ||
| + | </div> | ||
|} | |} | ||
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| style="vertical-align: top;line-height:20px;" | | | style="vertical-align: top;line-height:20px;" | | ||
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| + | [[Edge_AI_SDK/AI_Framework/Nvidia_x86_64#CUDA|CUDA]] | ||
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[https://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Nvidia_x86_64#DeepStream DeepStream] | [https://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Nvidia_x86_64#DeepStream DeepStream] | ||
Latest revision as of 09:55, 25 December 2024
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The NVIDIA RTX A5000 is a high-performance GPU for professional AI, data science, and graphics applications, designed for workstation use. |
AI Software Stack on RTX-A5000 ( v3.0.0 )
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