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TPU Developer Hub | Google Cloud

TorchTPU is Now Available

Native PyTorch on Cloud TPU: debug in eager mode, speed up with torch.compile, scale from one chip to a slice, with the ecosystem you already use

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Foundations for TPU development

Build with your preferred framework and diagnostic tools to drive peak performance

Accelerate production inference on TPUs

Deploy high-throughput, low-latency workloads using vLLM and optimized TPU serving stacks

Scale model pre-training on TPUs

Achieve higher training throughput using JAX, PyTorch, and Keras on TPUs

Optimize post-training on TPUs

Efficiently customize and align open models for high-performance serving and deployment

Profile and debug TPU workloads

Uncover bottlenecks and optimize your model’s execution

Community contributions

Resources and code samples from our developer community

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