Software Libraries

Simplify and speed your development with software optimized to maximize hardware performance.

TensorFlow

Based on Python*, this deep learning framework is designed for flexible implementation and extensibility on modern deep neural networks. In collaboration with Google*, TensorFlow has been directly optimized for Intel® architecture to achieve high performance on Intel® Xeon® Scalable processors.

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PyTorch

Intel recently launched the second generation Intel® Xeon® Scalable processors (formerly Cascade Lake) adding Intel® Deep Learning Boost (Intel DL Boost) technology. Fast math to take advantage of these hardware advances has been added to Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN). The Intel MKL-DNN optimizations are abstracted and integrated directly into the PyTorch*  framework. End users can take advantage of this technology with minimum changes to their code.

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Intel® Distribution of OpenVINO™ Toolkit

Explore the Intel® Distribution of OpenVINO™ toolkit. Harness the full potential of AI and computer vision across multiple Intel® architectures to enable new and enhanced use cases in health and life sciences, retail, industrial, and more.

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Analytics Zoo

Seamlessly scale your AI models to big data clusters with thousands of nodes for distributed training or inference. Built on top of the open source frameworks of Apache Spark*, TensorFlow*, PyTorch*, OpenVINO, and Ray*, this unified analytics and AI platform has an extensible architecture to support more libraries and frameworks.

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Intel® Distribution for Python*

The Intel® Distribution for Python* speeds up core computational packages and optimizes performance with integrated libraries and parallelism techniques.

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oneAPI Analytics & AI Toolkit (Beta)

Intel® oneAPI products will deliver the tools needed to deploy applications and solutions across these architectures. Its set of complementary toolkits—a base kit and specialty add-ons—simplify programming and help developers improve efficiency and innovation.

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