PyTorch 2.11 Release Live Q&A

The PyTorch 2.11 release features a number of improvements for distributed training and hardware-specific operator support. On Tuesday, March 31st at 10 am, Andrey Talman and Nikita Shulga will give a brief update on the release and answer your questions. Register today!

Topics:

• Differentiable Collectives for Distributed Training
• FlexAttention: Now includes a FlashAttention-4 backend on Hopper and Blackwell GPUs.
• MPS (Apple Silicon): Comprehensive operator expansion.
• RNN/LSTM GPU Export Support
• XPU Graph

Bios: Andrey is a Software Engineer at Meta, primarily focused on open source releases for PyTorch and its ecosystem libraries. He works on release management, continuous integration, and process improvements, ensuring high-quality and timely delivery of PyTorch and related projects.

Nikita is a Software Engineer at Meta, where, among other things, Nikita is responsible for PyTorch releases and continuous integration. Nikita is committed to uplifting the developer community and continuously improving PyTorch.

Register here >>