Video narration
Why can't one chip in your phone or computer do every job equally well? In a busy kitchen, cooks divide work: one handles changing orders; another chops many ingredients at once. Your CPU is the flexible cook, handling varied tasks and keeping the system moving. Your GPU handles many calculations at once, useful for graphics and some AI. These names aren't a ranking of power. Each suits a different kind of work. For AI, a TPU-commonly Google's Tensor Processing Unit-focuses on tensor calculations for machine learning. An NPU is a broader label for a processor that speeds up neural-network and other AI tasks. Their roles overlap, and chips can combine or share functions; none is best at everything. So why not one kitchen team for every job? Because cooks divide the work: CPUs handle variety, GPUs parallel calculations, and TPUs and NPUs specialize in AI.