Frameworks

Explore resources available for popular AI frameworks optimized on Intel® Architecture, including installation guides and other learning material. We are continuously expanding our list of supported frameworks. Get the Latest Framework Optimizations
Development Resources


TensorFlow

Intel® Optimization for TensorFlow*


This Python*-based deep learning framework is designed for ease of use and extensibility on modern deep neural networks and has been optimized for use on Intel® Xeon® processors.


MXNet*

MXNet*


The open-source, deep learning framework MXNet* includes built-in support for the Intel® Math Kernel Library (Intel® MKL) and optimizations for Intel® Advanced Vector Extensions 2 (Intel® AVX2) and Intel® Advanced Vector Extension 512 (Intel® AVX-512) instructions.


Intel® Optimization for Caffe*

Intel® Optimization for Caffe*


The Intel® Optimization for Caffe* provides improved performance for of the most popular frameworks when running on Intel® Xeon® processors.


PyTorch

PyTorch


Intel continues to accelerate and streamline PyTorch on Intel architecture, most notably Intel® Xeon® Scalable processors, both using Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) directly and making sure PyTorch is ready for our next generation of performance improvements both in software and hardware through the nGraph Compiler.


BigDL

BigDL


BigDL is a distributed deep learning library for Apache Spark*. With BigDL, users can write their deep learning applications as standard programs, which can run directly on top of existing Apache Spark or Hadoop clusters.


Intel® Optimization for Theano*

Intel® Optimization for Theano*


Theano*, a numerical computation library for Python, has been optimized for Intel® architecture and enables Intel® Math Kernel Library (Intel® MKL) functions.


Intel® Optimization for Chainer*

Intel® Optimization for Chainer*


Chainer* is a Python*-based deep learning framework for deep neural networks. Intel’s optimization for Chainer is integrated with the latest release of Intel® MKL-DNN.