Profiling Pytorch/XLA on TPUs with XProf

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Introducing Flax NNX (Part 1)
Опубликовано 4 декабря 2025, 17:14
Unlock the full potential of your PyTorch models running on Google TPUs. We'll look at how to profile PyTorch/XLA workloads on TPUs using XProf, and learn how to identify and eliminate bottlenecks in your training pipeline, ensuring you're getting maximum performance from the TPU hardware.

Resources:
PyTorch/XLA GitHub → goo.gle/4pFTA8p
XProf Documentation → goo.gle/3Y5v7gU

Subscribe to Google for Developers → goo.gle/developers

Speaker: Chris Achard
Products Mentioned: Google AI
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