Accelerating Open Source AI
The PyTorch Foundation is the vendor-neutral home for the open source intelligence layer developers use for training, optimizing, serving, orchestrating, and running models on any chip in any cloud for any agent. As a community-driven hub hosted by the Linux Foundation, the PyTorch Foundation supports the core PyTorch framework alongside a growing portfolio of innovative projects including vLLM, DeepSpeed, Ray, Helion, and Safetensors. Through open governance, strategic support, and a global contributor community, the PyTorch Foundation empowers developers, researchers, and enterprises to build and deploy AI at scale.
Our Guiding Principles
Our mission is to drive the adoption of AI and deep learning by supporting an open, vendor-neutral ecosystem built around PyTorch. By making state-of-the-art tools and libraries accessible to everyone, we aim to democratize innovation in AI and ML. Learn more about the mission and values that guide us in our PyTorch Foundation Principles.
PyTorch Members
Our Governance
The PyTorch Foundation’s Governing Board oversees the Foundation’s activities according to its Guiding Principles and the PyTorch Foundation Charter.
The PyTorch Foundation Code of Conduct details our commitment to fostering an inclusive, welcoming, and safe environment for everyone involved in the PyTorch Foundation community.
The technical governance structure for the PyTorch open source project is defined by the PyTorch maintainers and is available on our PyTorch Technical Governance page.
How to Get Involved
New to the PyTorch Foundation? Check out our guide to getting started with the PyTorch Foundation or join the PyTorch developer or user community to contribute, learn, and get your questions answered.
Get in Touch
The success of PyTorch is only possible with the contributions and support of our developer community and member companies. If you would like to learn how you can collaborate with your peers in the PyTorch Foundation, and would like to have a conversation with a PyTorch Foundation representative, please visit our contact us page.
Note: for all PyTorch technical questions please go to discuss.pytorch.org