A technical walkthrough of how GPU hardware architecture processes thousands of CUDA cores simultaneously to accelerate AI workloads — and why a CPU, with its handful of fat cores, fundamentally cannot keep up.
A modern GPU is a fabric of Streaming Multiprocessors. Each SM bundles dozens of CUDA cores, special-function units, tensor cores, register files, and shared memory into one tightly coupled compute tile.
Threads are dispatched in groups of 32 — a warp — and execute the same instruction on different data lanes (SIMT).