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TorchTPU: Running PyTorch Natively on TPUs at Google Scale

Quality: 9/10 Relevance: 9/10

Summary

TorchTPU introduces running PyTorch natively on Google's TPUs, emphasizing usability, portability, and performance. The post details an eager-first execution model, a static-graph path via Torch Dynamo and XLA/StableHLO, and support for distributed training, with a roadmap for 2026 including public release, Helion integration, and improved dynamic-shape handling.

🚀 Service construit par Johan Denoyer