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Migrating existing PyTorch workloads from Nvidia GPUs to Google TPUs using TorchTPU typically requires changing `.to("cuda")` to `.to("tpu")`.

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From the articleGoogle Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUsAlso in Switch Your PyTorch Model From Nvidia to Google TPUs With One Line: TorchTPU Is Now Open Source, Google open-sources TorchTPU to bring native PyTorch support to its TPUs, Switch Your PyTorch Model From Nvidia to Google TPUs With One Line: TorchTPU Is Now Open Source, Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs
441e85161Article

Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs

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441e85161Article

Switch Your PyTorch Model From Nvidia to Google TPUs With One Line: TorchTPU Is Now Open Source

0
441e85161Article

Google open-sources TorchTPU to bring native PyTorch support to its TPUs

0
441e85161Article

Switch Your PyTorch Model From Nvidia to Google TPUs With One Line: TorchTPU Is Now Open Source

0
441e85161Article

Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs

0