PyTorch Conference North America will bring developers, researchers, and practitioners to San Jose on October 20–21 for sessions spanning training and inference, compiler innovations, responsible AI, applications, and the PyTorch ecosystem. PyTorchCon NA 2026, hosted by the PyTorch Foundation, will explore the future of open source AI and the impact of PyTorch Foundation projects like PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors.
The program includes sessions on observability tooling for Cudagraph workloads, accelerating and debugging machine learning systems with TorchDynamo, and multi-node training for foundation models.
Session Highlights
Observability Tooling for Cudagraph Workloads
Natalia Gimelshein and Driss Guessous, Meta
Unlocking the Full Potential of TorchDynamo: Accelerating, Comparing, and Debugging ML Systems
Yi Pan, UC Berkeley; Megan Frisella and Stephanie Wang, University of Washington
Scaling Foundation Models: From Broken to Near-Linear Multi-Node Training
Sheng Huang, Pinterest
Submit a Poster by July 26
The Poster CFP closes July 26 at 11:59 p.m. PDT. Poster sessions provide an opportunity to showcase projects, research, and implementations, exchange ideas with attendees, and connect directly with the PyTorch community. Submit a poster >
Register Now
Early Bird conference passes are available at a discount through Friday, July 31. Register today >
Sponsor PyTorch Conference North America
PyTorch Conference North America brings together more than 3,000 members of the open source AI ecosystem. Sponsorship opportunities provide visibility with engineers and technical leaders working on AI infrastructure and applications.