Paper · arXiv
TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU
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.
| Authors | Claudio Basile, Michael Voznesensky, Gunhyun Park et al. |
|---|---|
| Primary category | cs.AI |
| Published | 16 October 2026 |
| Last updated at source | 22 October 2026 |
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