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

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[http://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_System/AIR-510_rc AIR-510]
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[http://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/RTXA5000_AI_Suite_rc RTXA5000_AI_Suite]
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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/Hailo#Applications Applications]
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[https://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Nvidia_x86_64#TensorRT TensorRT]
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[http://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Hailo#Benchmark Benchmakrks]<br/> [http://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Hailo#HailoRT_CLI HailoRT CLI]
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[https://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Nvidia_x86_64#Benchmark Benchmarks]
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[https://ess-wiki.advantech.com.tw/view/Edge_AI_SDK/AI_Framework/Nvidia_x86_64#NVIDIA_System_Management_Interface Nvidia-smi]
  
 
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[[Category:Editor]]
 

Latest revision as of 09:51, 2 July 2024


RTXA5000.png

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

  • CUDA Cores: 8192
  • Performance: Up to 27.8 TFLOPS (single precision)
  • Power Efficiency: 230W
  • Interface: PCIe Gen 4.0 x16
  • Frameworks: TensorFlow, PyTorch, ONNX, Keras
  • OS: Linux, Windows

 

Edge AI System

AIR-510

 

AI Inference Run-time SDK

DeepStream

TensorRT

Applications

AI Benchmark & Tools

Benchmarks

Nvidia-smi