paper
arXiv cs.AI
October 31st, 2026 at 4:00 AM

TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU

arXiv:2610.24161v4 Announce Type: replace Abstract: TorchTPU is an open-source collaboration between Google and Meta that introduces a native and principled PyTorch backend for Google TPUs. It enables seamless out-of-the-box model execution and TPU migration while delivering industry-competitive inference and training performance through eager execution optimizations, torch.compile integration, and native hardware acceleration.

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Canonical link: https://arxiv.org/abs/2610.24161