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Google announced that its custom tensor processing units now serve AI workloads in Meta's data centers via a new PyTorch-native SGLang engine. This collaboration, involving Meta, Google, and RadixArk, allows deployment without rewriting code. The move aims to loosen Nvidia's software lock-in and follows Amazon's recent open-sourcing of TorchNeuron.
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