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Network Brain

Machine Learning Inference Solutions from Edge to Cloud

Machine learning applications are rapidly expanding across a growing number of end markets, at the edge, in the cloud, or a hybrid of both. Xilinx provides machine learning inference solutions including the development stacks and hardware platforms for deploying advanced and efficient neural networks, algorithms and applications.

Cloud: Reconfigurable Acceleration Stack


Machine Learning on Xilinx Devices.
Optimized for Int8 Precision.

Available Now For Edge & Cloud

Available Now for Edge & Cloud

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Xilinx Deep Neural Network (xfDNN) library is highly optimized for building deep learning inference applications. Designed for maximum compute efficiency at 16-bit and 8-bit integer data types.


Xilinx BLAS (xfBLAS) library is based on the level-3 Basic Linear Algebra Subprograms contains a General Matrix Multiply (GEMM) function with optimized performance at 16-bit and 8-bit integer data types. It supports matrices of any size.


Edge Networks

  • GoogLeNet
  • SSD
  • FCN-AlexNet
  • AlexNet
  • VGG

Cloud Networks

Test drive on Nimbix.

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Test drive on AWS F1.

Take Test Drive  

Development Environments

For Edge Development

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For Cloud Development

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Zynq® UltraScale+™ MPSoC Kit

Xilinx Zynq® UltraScale+™ MPSoC Kit

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Kintex® UltraScale™ FPGA Kit

Xilinx Kintex® UltraScale™ FPGA Kit

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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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