A Tensor Processing Unit (TPU) is a custom-built application-specific integrated circuit (ASIC) designed to accelerate machine learning workloads, particularly those involving deep neural networks. As artificial intelligence and deep learning continue to drive innovation in the tech industry, TPUs have become increasingly important for organizations seeking to optimize their AI computing infrastructure and improve the performance of their machine learning models.
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