PyTorch 2.15 釋出新功能，將 NCCL 後端設為預設、加速 4‑bit LLM 解碼，並擴充平臺支援。
- 核心功能：重寫 NCCL 後端、NIXL 一面傳輸、FSDP2 與管線細粒度記憶體與通訊控制。
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Bring your questions about PyTorch 2.15 to our live Q&A this Thursday, November 5, at 11 AM PT.
Tristan Rice (@rice_fry), Natalia Gimelshein, Huy Do, and Jane Xu (@janeyx99) (all @Meta), with moderator Chris Gottbrath (Gottbrath Tech), will share an overview of the release and answer community questions about PyTorch and the new capabilities in the release.
PyTorch 2.15 makes the rewritten NCCL backend the default, adds one-sided transports with a NIXL backend, and gives FSDP2 and pipelining finer memory and communication control. The release also brings faster 4-bit (NVFP4) LLM decoding on NVIDIA Blackwell GPUs, FP8 and faster decode on Apple Silicon, and broader platform support.
Register: https://t.co/opFmSkAUNb