Tensor Processing Units (TPUs) are custom-developed hardware accelerators designed by Google specifically for machine learning workloads. They are optimized for the matrix multiplications and other operations that are common in deep learning models, offering significantly higher performance and efficiency compared to CPUs and GPUs for these tasks. TPUs are commonly used for training and inference of large-scale neural networks, especially in cloud-based machine learning services.
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