PyTorch* AI Reference Kits Enhanced with Intel® Optimization

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AI Reference Kits with Intel® Optimization for PyTorch*

AI Reference Kits with Intel® Optimization for PyTorch*

Artificial intelligence (AI) has become a critical technology in today’s digitally driven world. With the increasing demand for AI solutions, it’s crucial for developers to have access to efficient and optimized tools to build high-performance AI models. Intel® Optimization for PyTorch* provides a suite of tools and libraries that enable developers to leverage the full potential of Intel® architecture for AI workloads.

Introducing AI Reference Kits

Intel® has developed AI Reference Kits to help developers accelerate their AI development on Intel® architecture. These kits provide a comprehensive set of tools, libraries, and resources to optimize and accelerate AI workloads on Intel® processors. The AI Reference Kits are designed to deliver top-notch performance and efficiency for a wide range of AI applications, including computer vision, natural language processing, and reinforcement learning.

Optimized for PyTorch*

The AI Reference Kits with Intel® Optimization for PyTorch* are specifically tailored to enhance the performance of PyTorch* – the popular open-source deep learning framework. By leveraging Intel® Optimization for PyTorch*, developers can take advantage of advanced features such as Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN), Intel® Distribution for Python*, and Intel® VTune™ Profiler to optimize and accelerate PyTorch* workloads on Intel® architecture.

Key Features

The AI Reference Kits with Intel® Optimization for PyTorch* offer a range of key features to help developers streamline their AI development process. Some of the notable features include:

  • Optimized deep learning operations using Intel® MKL-DNN
  • Accelerated Python* performance with Intel® Distribution for Python*
  • Advanced profiling and tuning with Intel® VTune™ Profiler
  • Support for Intel® Neural Network Compression and Quantization tools
  • Integration with Intel® Deep Learning Boost technology for enhanced performance on select Intel® processors
Getting Started

Developers can get started with AI Reference Kits with Intel® Optimization for PyTorch* by visiting the official Intel® AI Developer Zone. The AI Developer Zone provides a wealth of resources, including documentation, tutorials, code samples, and community support to help developers harness the power of Intel® Optimization for PyTorch*.

Conclusion

The AI Reference Kits with Intel® Optimization for PyTorch* offer a comprehensive solution for developers looking to optimize and accelerate their AI workloads on Intel® architecture. By leveraging the advanced tools and libraries provided in these reference kits, developers can achieve superior performance and efficiency in their AI applications, ultimately leading to faster innovation and deployment of AI solutions.