PyTorch 2.14 Release Live Q&A

PyTorch 2.14 introduces updates to Inductor, PyTorch Distributed, c10d, dynamic shapes, Apple Silicon, and accelerator platform support, with 2,995 commits from 487 contributors since PyTorch 2.13.

Bring your questions about PyTorch 2.14 to our live Q&A on Thursday, September 17, 2026 at 11 AM PT. Andrey Talman of Meta, Natalia Gimelshein of Meta, Joseph Spisak of Reflection AI, and Chris Gottbrath of Gottbrath Tech (moderator) will share an overview of PyTorch 2.14 and answer community questions about PyTorch and the new capabilities.

PyTorch 2.14 covers:

• NVGEMM and CuTeDSL-generated CUTLASS kernels in Inductor
• The new nccl2 backend for PyTorch Distributed
• Fault-tolerant collectives and process-group reconfiguration in c10d
• Native linear algebra and additional Metal kernel improvements on Apple Silicon
• torch.switch and CUDA graph capture for torch.while_loop
• Declarative dynamic shapes with @dynamic_spec
• Experimental torch.compile support for complex-valued tensors
• Expanded ROCm, Intel XPU, and NVIDIA platform support

Register to join us!