CPU GPU NPU TPU Simple Explained
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CPU GPU NPU TPU Simple Explained
A visual breakdown comparing the four major processor types: CPU (general-purpose brain), GPU (massive parallelism for gaming & AI training), NPU (efficient on-device AI like face/voice recognition in phones), and TPU (cloud-scale AI specialist from Google). Discover their architectures, best use cases, and why specialized chips are taking over ...
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CPU vs GPU is no longer the full story. Modern systems run on an entire ecosystem of Processing Units (PUs), each designed for a specific kind of work. Today, we have: ➡CPU for general-purpose logic ➡GPU for massive parallel computation ➡TPU / NPU / IPU for AI and neural networks ➡DSP / ISP / VPU for signals, images, audio, and video ➡DPU / Network processors for data center infrastructure ➡MCUs & real-time processors for control systems and embedded devices ➡FPGAs for reconfigurable, adaptive c
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