Developer Resources from Intel and the PyTorch* Foundation
Intel, a premier member of the PyTorch* Foundation, is a leading contributor of features and optimizations to open source PyTorch. This includes its contributions to oneAPI Deep Neural Network Library (oneDNN), which enables PyTorch acceleration across CPUs, GPUs, and AI accelerators.
Intel and PyTorch Case Studies
"The PyTorch Foundation is thrilled to welcome Intel as a premier member, marking a significant milestone in our mission to empower the global AI community. Intel's extensive expertise and commitment to advancing cutting-edge technologies align perfectly with our vision of fostering open source innovation. Together, we will accelerate the development and democratization of PyTorch, and use the collaboration to shape a vibrant future of AI for all."
— Ibrahim Haddad, executive director, PyTorch Foundation
Use PyTorch on Intel Platforms
Learn how to get started or how to get the most out of PyTorch running on Intel-based platforms spanning data centers, the cloud, and AI PCs. These joint offerings are based on OpenVINO™ toolkit, AI Tools, and Intel® Gaudi® software.
Multiplatform
- Get Started with PyTorch on Intel GPUs
- PyTorch Performance Tuning Guide
- 10 Tips for Quantizing LLMs and Vision Language Models (VLM) with AutoRound and torchao
- Accelerate PyTorch Models Using Quantization Techniques with Intel® Extension for PyTorch*
- Accelerate Inference on x86-64 Machines with oneDNN Graph
- How to Accelerate Model Serving with TorchServe and OpenVINO Toolkit
AI PC
Data Center & Cloud
- Accelerate GenAI for PyTorch 2.5 on Intel® Xeon® Processors
- Use torch.compile for Accelerated CPU Inference with PyTorch Inductor
- Get Started with PyTorch Training on Intel® Gaudi® Accelerators
- Access Tutorials for Intel® Gaudi® Technology with PyTorch
- Run Models with an Intel Gaudi Accelerator Using PyTorch with Docker* Images
- Optimize Text and Image Generation Using PyTorch
- Optimize Stable Diffusion Upscaling with Diffusers and PyTorch
More Resources
AI Machine Learning Portfolio
Explore all Intel® AI content for developers.
AI Tools
Accelerate end-to-end machine learning and data science pipelines with optimized deep learning frameworks and high-performing Python* libraries.
Intel® AI Hardware
The Intel portfolio for AI hardware covers everything from data science workstations to data preprocessing, machine learning and deep learning modeling, and deployment in the data center and at the intelligent edge.