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DTSTART;TZID=America/Los_Angeles:20260917T110000
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UID:10000219-1789642800-1789646400@pytorch.org
SUMMARY:PyTorch 2.14 Release Live Q&A
DESCRIPTION: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. \nBring your questions about PyTorch 2.14 to our live Q&A on Thursday\, September 17\, 2026 at 11 AM PT. Andrey Talman of Meta\, Nikkita Shulga of Thinking Machines Lab\, 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. \nPyTorch 2.14 covers: \n\nNVGEMM and CuTeDSL-generated CUTLASS kernels in Inductor\nThe new nccl2 backend for PyTorch Distributed\nFault-tolerant collectives and process-group reconfiguration in c10d\nNative linear algebra and additional Metal kernel improvements on Apple Silicon\ntorch.switch and CUDA graph capture for torch.while_loop\nDeclarative dynamic shapes with @dynamic_spec\nExperimental torch.compile support for complex-valued tensors\nExpanded ROCm\, Intel XPU\, and NVIDIA platform support\n\nWatch the replay \n \nRead the release blog.
URL:https://pytorch.org/event/pytorch-2-14-release-live-qa/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/09/PyTorch-2.14-Release-Live-QA.png
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