Welcome to the Official PyTorch Documentary: Powering the AI Revolution

Experience the journey of PyTorch like never before. Dive deep into the origins, growth, and future of one of the most popular deep learning frameworks in the world. This documentary provides a unique behind-the-scenes look at how PyTorch has revolutionized the field of machine learning and artificial intelligence.

The documentary shares the strength of the PyTorch community, resonating with our communities across the globe. We hope this story of PyTorch inspires greater contributions, attracts more contributors to the project, and fosters widespread recognition of PyTorch’s significance in the open source community.

Join us as we uncover the story of PyTorch from its inception to becoming a cornerstone in the AI community.

 

 

Join the Conversation

“PyTorch’s growth and adoption in the AI community is a testament to open collaboration. The collective efforts of all the contributors have helped propel PyTorch as one of the most widely adopted AI frameworks in the industry. AMD is proud to be a part of this movement - making sure that the future of AI is open - and we are excited to continue contributing to this vibrant ecosystem.”

– Niles Burbank

“The release of the PyTorch Documentary showcases the innovation and real-world impact of one of the most widely adopted open source machine learning frameworks. By supporting and contributing to the PyTorch community, AWS helps enable cutting-edge machine learning research that drives advancements in AI capabilities. We are excited about the documentary as it highlights the power of collaboration in propelling PyTorch to the forefront of machine learning and empowering developers and data scientists to create groundbreaking models. At AWS, we celebrate frameworks like PyTorch that foster environments where open source machine learning technologies can grow and benefit the community at-large, as well as our customers.”

– Brian Granger

“Google recognizes the impact of PyTorch on the AI community, providing researchers and developers with powerful, flexible tools for innovation. This documentary not only celebrates the remarkable achievements of the PyTorch community but also highlights the collaborative spirit driving advancements in AI. We look forward to continuing our support for PyTorch and fostering an open ecosystem that accelerates machine learning research and application.”

– Dwarak Rajagopal

“We have been so impressed with the growth and collaboration that PyTorch has created over the years. From very humble beginnings at Meta to a cornerstone in AI research and development, the documentary showcases the dedication of our contributors since the start. It’s an honor to be a part of something so impactful, and now it’s been documented for our community to take part in.”

– Soumith Chintala

“We’re truly excited about the premiere of the PyTorch Documentary. At Microsoft, PyTorch has been our default deep learning framework for building AI solutions including Microsoft Copilot. Additionally, we have made significant investments to create an optimized environment for our customers to develop, train, fine-tune and deploy their PyTorch workloads on Azure and Windows, furthering our commitment to democratize AI.”

– Eric Boyd

“The release of the PyTorch documentary marks a significant milestone for our community, showcasing the incredible journey and rapid evolution of PyTorch. We are excited to share these stories and achievements with the world, and we look forward to continuing to foster innovation and growth of the PyTorch community and PyTorch’s evolving ecosystem.”

– Matt White

We’d love to hear your thoughts on the documentary. Share your reactions and join the conversation on social media with the hashtag #PyTorchDoc. Follow us on X, LinkedIn, and Facebook for more updates and exclusive content.

   

Get Involved

Interested in contributing to PyTorch? Visit our GitHub page to learn how you can participate in the community, contribute to the codebase, and collaborate with others in the AI field.

Participate on GitHub