How a GPU Actually Works: The Intuition LLM Engineers Need
burny_tech · x · 2026-08-14
This article explains how GPUs actually work, specifically tailored for LLM engineers to build intuition without reading dense hardware manuals.
It breaks down the underlying mechanics of key optimization techniques like quantization, speculative decoding, and continuous batching, showing developers why these tricks work at the physical level rather than just presenting them as a memorized list.
More from Infra
- Three CoreWeave co-founders have sold $3.3B in shares since IPO amid credit worries — SumitGup · 2026-10-16
- Cherry pi on a Raspberry Pi: the tiny-model rumor developers are watching — sull · 2026-10-16
- CoreWeave's debt costs falling: DDTL spreads tightened from S+9.62% to S+2.25% — BenBajarin · 2026-10-16
- SoftBank lines up US IPOs for SB Energy and AI robotics spinoff Roze, valuations top $50B — nordicinst · 2026-10-16
- TRL reproduces Modal's mixed-precision async RL: plain GRPO collapses, SC+MIS holds 0.72 — QGallouedec · 2026-10-16
- Hugging Face scales Indic pretraining with 2.8T tokens and an open data pipeline — Hugging Face Blog · 2026-10-16