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PyTorch 2.15 Rebuilds Distributed Training and Cuts Decoding Overhead

The new release flips the rewritten NCCL backend on by default, adds one-sided transports, and accelerates NVFP4 decode on Blackwell.

PyTorch 2.15 Rebuilds Distributed Training and Cuts Decoding Overhead
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PyTorch
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AlphaSignal Newsroom
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1 min read

The new release flips the rewritten NCCL backend on by default, adds one-sided transports, and accelerates NVFP4 decode on Blackwell.

Reporting is indexed from AlphaSignal. Rights remain with the original publisher and cited sources.

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