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ARAşTıRMA · YAPAY ZEKAarXiv:2610.2416116 Eki 2026 · v3
TorchTPU – A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU
Claudio Basile, Michael Voznesensky, Gunhyun Park, Ben Wilson, Parker Holloway, +48 yazar
YAYIN:16 Eki 2026ALAN:cs.AIOKUMA:10
Özet
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.
Özetle: TorchTPU is an open-source collaboration between Google and Meta that introduces a native and principled PyTorch backend for Google TPUs.
Özet
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.
Orijinal Özet (İngilizce)
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.
@article{basile2026torchtpu,
title = {TorchTPU - A Hybrid Eager/Compiled Architecture for Native PyTorch Execution on TPU},
author = {Claudio Basile and Michael Voznesensky and Gunhyun Park and Ben Wilson and Parker Holloway and Zhanyong Wan and Vlad Belous and Manish Khanna and Paul Ganssle and Kevin Gleason and Andrew Dame and Brendan Folie and Bhavya Bahl and Haifeng Jin and Pedro Goncalves Mokarzel and Arian Arfaian and Luke Boyer and Chi Zhang and Yiling Yuan and Adam Mainz and Aditya Patel and Huangze Tang and Jay Gan and Lizzie Liang and Will Froom and Tushar Agarwal and Karlo Basioli and Theotime Combes and Emilio Cota and Minos Papadopoulos and Tudor Pipernea and Yarong Mu and Qi Zhou and Yaoshiang Ho and Aleksey Vlasenko and Alexander Brauckmann and Ziyin Huang and Jack Oh and Jerry Hsu and Tanvi Bajpai and Jialei Chen and Wenjun Gu and Chintan Shah and Chris Chan and Sayce Falk and Chris Jones and Rob Torres and Kat Ko and Lee Howes and Freya Azad and Andi Gavrilescu and Joe Pamer and Bill Jia},
journal = {arXiv preprint arXiv:2610.24161},
year = {2026},
url = {https://arxiv.org/abs/2610.24161}
}
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