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What Are TPUs? Inside Google’s Custom AI Chips Powering the Future As artificial intelligence continues to dominate the tech landscape, one piece of hardware is rapidly gaining attention: the Tensor Processing Unit (TPU).  Developed by Google, TPUs are purpose-built chips designed specifically to accelerate machine learning workloads—and they’re reshaping how AI is trained and deployed at scale. What Is a TPU? A TPU (Tensor Processing Unit) is a custom application-specific integrated circuit (ASIC) built to handle the massive mathematical computations required for AI. Unlike traditional CPUs or GPUs, TPUs are optimized for: • Matrix multiplications (core to neural networks) • Parallel processing at extreme scale • High efficiency for AI training and inference In simple terms, TPUs are laser-focused on AI performance, cutting out unnecessary functions to deliver speed and efficiency. Why Did Google Create TPUs? As AI models grew more complex, relying on general-purpose chips became ...