A Tensor Processing Unit (TPU) is a specialized hardware accelerator designed specifically for machine learning tasks, particularly those involving deep learning models. TPUs are engineered to perform tensor calculations efficiently, allowing for faster training and inference compared to traditional CPUs and GPUs. They are tightly integrated with frameworks like JAX and MXNet, which optimize their performance and ease the deployment of machine learning models.
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