Google broadens its AI hardware portfolio with two new specialized chips
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Google unveiled two new tensor processing units (TPUs) aimed at confidential model training and higher-memory workloads, widening its in-house AI chip lineup beyond its existing offerings. The chips are designed to let customers train models on encrypted data and run larger models that demand more memory capacity, extending Google's push to compete with Nvidia in AI infrastructure. The move matters because it gives Google Cloud more specialized silicon to pitch to enterprises with privacy and scale requirements, potentially reducing reliance on third-party GPUs. What to watch next is pricing and availability for the new TPUs, plus whether cloud customers adopt them for training rather than inference.
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Google (GOOGL), Tensor Processing Units
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