CPU vs GPU vs TPU vs NPU vs LPU: 5 Hardware Architectures Explained
HankYeomans · x · 2026-08-26
This post compares five hardware architectures powering AI today: CPUs for general-purpose computing and complex logic, GPUs dominating AI training with thousands of parallel cores, and TPUs further specializing in matrix operations. It also references a guide on KV cache management, explaining how modern caching architectures can cut input token costs by 90% and speed up LLM inference by up to 14x, along with the GitHub project LMCache.
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