Difference between revisions of "Edge AI SDK/Accelerator/RTX-A5000"

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[[File:RTXA5000.png|250x150px|RTXA5000.png]]
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[[File:EAS NV RTX A5000.jpg|500x400px|RTXA5000.png]]
  
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<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;" | &nbsp;
 
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<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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{| class="wikitable" style="width:100%; margin:auto; border:2px solid #ffffff; border-collapse:separate; border-spacing:10px; text-align:center;"
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! style="background-color:#3664B1; color:white; width:150px; text-align:center; border:1px;" | AI Applications
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| colspan="5" style="padding:0; border:1px solid black;" |
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{| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;"
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| style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Vision AI Apps
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| style="background-color:#D3D3D3; border:1px solid gray; text-align:center; padding:10px; width:25%;" | Pre-trained Models
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| style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Monitoring
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| style="border:1px solid gray; text-align:center; padding:10px; width:25%;" | Benchmark
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! style="background-color:#3664B1; color:white; text-align:center;" | Utility
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{| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;"
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| colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:50%;" | <span style="font-size:larger; color:white;">tegrastats</span>
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| colspan="1" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:50%;" | <span style="font-size:larger; color:white;">Jetson_benchmarks</span>
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! style="background-color:#3664B1; color:white; text-align:center;" | AI SDK
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| colspan="5" style="padding:0; border:1px solid black;" |
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{| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;"
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| 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 8.5.2 </span>
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| 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 11.4.19</span>
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| 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 6.2</span>
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! style="background-color:#3664B1; color:white; text-align:center;" | Driver
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| colspan="5" style="padding:0; border:1px solid black;" |
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{| class="wikitable" style="width:100%; border-collapse:separate; border-spacing:5px; border:0px;"
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| colspan="5" style="background-color:#74B71B; border:1px solid gray; text-align:center; padding:10px; width:100%;" | <span style="font-size:larger; color:white;">Intel UHD/HD/Arc GPU</span>
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*<span style="font-size:larger;">CUDA Cores: 8192</span>
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*<span style="font-size:larger;">Performance: Up to 27.8 TFLOPS (single precision)</span>  
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! style="background-color:#3664B1; color:white; width:150px; text-align:center; border:1px;" | OS / Kernel
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*<span style="font-size:larger;">Power Efficiency: 230W</span>  
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| 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>
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*<span style="font-size:larger;">Interface: PCIe Gen 4.0 x16</span>
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|}
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*<span style="font-size:larger;">Frameworks: TensorFlow, PyTorch, ONNX, Keras</span>
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<div style="font-size:large; color: rgb(77, 77, 77); line-height: 20px; text-align: center;">Software Stack on RTX-A5000 ( v3.0.0 )</div>  
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*<span style="font-size:larger;">OS: Linux, Windows</span>
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<div style="text-align: right; margin-top: 10px;">
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{| style="border-collapse: separate; border-spacing: 10px; float: right; margin-right: 0"
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| style="width:20px; height:20px; background-color:#74B71B; border:1px solid black;" |
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| style="text-align: left;" | NVIDIA
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| style="width:20px; height:20px; background-color:#D3D3D3; border:1px solid black;" |
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| style="text-align: left;" | Open Source
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Revision as of 11:33, 10 December 2024


RTXA5000.png

The NVIDIA RTX A5000 is a high-performance GPU for professional AI, data science, and graphics applications, designed for workstation use.

 
AI Applications
Vision AI Apps Pre-trained Models Monitoring Benchmark
Utility
tegrastats Jetson_benchmarks
AI SDK
TensorRT 8.5.2 CUDA 11.4.19 Deepstream 6.2
Driver
Intel UHD/HD/Arc GPU
OS / Kernel Ubuntu 22.04 ( 5.15.0-1027-intel-iotg )
Software Stack on RTX-A5000 ( v3.0.0 )
NVIDIA Open Source

 

Edge AI System

AIR-510

 

AI Inference Run-time SDK

DeepStream

TensorRT

Applications

AI Benchmark & Tools

Benchmarks

Nvidia-smi

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