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While GPUs (Graphics Processing Units) have been the dominant choice for deep learning for nearly a decade, TPUs (Tensor Processing Units)-Googles custom AI accelerators are now widely. Both GPUs and TPUs are high-performance accelerators that are crucial to machine learning, yet they come from very different origins. GPUs began life as chips optimized for rendering. Discover key differences between CPU, GPU, NPU & TPU processors. Learn which AI chip powers your devices & why multiple processing units exist A GPU contains thousands of small cores that execute operations in parallel. Unlike TPUs, GPUs are general-purpose accelerators that can handle a wide variety of computational tasks.