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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

Frameworks

Machine Learning on Xilinx Devices.
Optimized for Int8 Precision.

Available Now For Edge & Cloud

Available Now for Edge & Cloud

Libraries


DNN

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.

BLAS

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.

Networks


Edge Networks

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

Cloud Networks

Test drive on Nimbix.

AlexNet
Take Test Drive  

Test drive on AWS F1.

GoogLeNet/ResNet
Take Test Drive  

Development Environments

For Edge Development

Learn More  

For Cloud Development

Learn More  

Hardware

Edge

Zynq® UltraScale+™ MPSoC Kit

Xilinx Zynq® UltraScale+™ MPSoC Kit

Learn More  

Cloud

Xilinx Virtex UltraScale+ FPGA VCU1525 Kit

Xilinx Virtex UltraScale+ FPGA VCU1525 Kit

Learn More  

Resources


reVISION Knowledge Center

Documentation, Resources, Papers, Tutorials for Edge Inference

Learn More
Acceleration Knowledge Center

Documentation, Resources, Papers, Tutorials for Cloud Inference

Learn More
Xilinx University Program

Enabling the use of Xilinx technologies for academic teaching and research

Learn More
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