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Google released TorchTPU as open source, giving PyTorch developers a native way to run models on the company’s Tensor Processing Units. Google also announced TPU support in the vLLM and SGLang serving engines, the TorchTitan training framework, Ray, and Hugging Face’s libraries. Teams that write their models in PyTorch and run them on GPUs by default have the most to gain. Google says those workloads now move to TPUs, its custom AI chips, with minimal … More →…
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