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AI Inference

4x Faster than GPUs

Accelerating DNNs
White Paper

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ML Suite
Developer Lab

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Machine Learning on AWS

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Fastest Real-Time Inference

For low-latency ML inference, Xilinx delivers leadership throughput and power efficiency.  In standard benchmark tests on GoogleNet V1, Xilinx U250 delivers more than 4x the throughput of the fastest GPU at real-time inference.  Learn more in the whitepaper: “Accelerating DNNs with Xilinx Alveo Accelerator Cards”.

xDNNv3 will be available in November 2018, in the ML Suite. Get started today with the ML Suite featuring xDNNv2 from the links below.

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* See White Paper for performance details

Whole Application Acceleration

Now Available On Demand:
ML Suite Developer Lab

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Work through this self-paced tutorial using the Xilinx ML Suite to deploy models for real-time inference on Amazon EC2 F1 FPGA instances. During this lab you will use Python APIs to accelerate your ML applications with Amazon EC2 F1 instances powered by Xilinx FPGAs.

Xilinx DeePhi Edge Platform

ML Inference performance leadership with CNN pruning technology.

  • 5X to 50X network performance optimization
  • Increases FPS and reduces power

Optimization/Acceleration Complier Tools

  • Supports networks from Tensorflow, Caffe,and MXNet
  • Compiles networks to optimized Xilinx MPSoC accelerator runtime

Get more information
about DeePhi

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Watch a Demo about
DeePhi Edge Platform

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Join the DeePhi
Community Forum

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reVISION Knowledge Center

Documentation, Resources, Papers, Tutorials for Edge Inference

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Acceleration Knowledge Center

Documentation, Resources, Papers, Tutorials for Cloud Inference

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Xilinx University Program

Enabling the use of Xilinx technologies for academic teaching and research

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