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Engines compared from the inside: llama.cpp, vLLM, SGLang, TGI, TensorRT-LLM, Dynamo

How the major inference engines differ in architecture rather than marketing: scheduling and KV management, kernels, quantisation formats, hardware targets, structured decoding, multi-GPU strategy, and a decision framework with the questions that matter.

15 minยทVerified 2026-11Pro+50 XP

Engines look interchangeable behind an OpenAI-compatible API. Inside, they make different bets. This lesson explains the bets so that you can choose by reasoning instead of by reputation. Features move fast; treat specifics as a snapshot and check each project's current documentation.

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