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.
Frameworks
Machine Learning on Xilinx Devices.
Optimized for Int8 Precision.
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
Cloud Networks
Hardware
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Acceleration Knowledge Center
Documentation, Resources, Papers, Tutorials for Cloud Inference
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