GPU architecture for inference: memory hierarchy, tensor cores and generations
What inside a GPU matters for LLM serving: SMs, tensor cores and precisions, the memory hierarchy from registers to HBM, interconnects, consumer versus data-centre parts, and how to read a spec sheet for inference. Plus non-NVIDIA accelerators.
15 min·Verified 2026-11Pro+50 XP
You do not need to be a hardware designer to serve models well, but a handful of architectural facts explain almost every purchasing and tuning decision.
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