Together with Apple’s metal engineering team, PyTorch announced today that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon Macs powered by the M1, M1 Pro, M1 Max, or M1 Ultra chipset.


So far, PyTorch training on Mac has only made use of the CPU, but the upcoming release will allow developers and researchers to take advantage of Apple’s silicon-chip GPU for “significantly faster” model training.

A preview release of PyTorch 1.12 with GPU Accelerated Training is available for Apple silicon Mac devices running macOS 12.3 or later with a genuine version of Python. Performance comparisons and additional details are available on the PyTorch website.

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