PyTorch Conference North America Schedule Is Live

Featured projects

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. View the full schedule here >

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

Observability Tooling for Cudagraph Workloads

Natalia Gimelshein and Driss Guessous, Meta

Unlocking the Full Potential of TorchDynamo: Accelerating, Comparing, and Debugging ML Systems

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

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 by July 31

Conference passes are available for $599 through Friday, July 31, a savings of $400. 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.

Thank You to Our Sponsors

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source & further reading

pytorch.org — original article Triton Plugin Extensions: Enabling TLX and Custom Compiler Passes Out of the Box PyTorch 2.13 Release Blog Bringing PyTorch Monarch to AMD GPUs: Single-Controller Distributed Training on ROCm