04/06/2026
CPU is designed for general-purpose computing, GPU is built for gaming and parallel graphics processing, NPU is optimized for on-device AI workloads, and TPU is developed for cloud-based large-scale model training. At first glance, these four chips may look similar, but they differ fundamentally in origin, architecture, and application.
As AI continues to accelerate, heterogeneous computing is becoming the industry norm. The future will no longer rely on a single all-purpose chip, but on coordinated multi-chip systems working together. Understanding these four types of chips means understanding the underlying logic of modern electronic devices, servers, and AI computing clusters.
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