vLLM: Anatomy of a High-Throughput LLM Inference System

Inside vLLM: Anatomy of a High-Throughput LLM Inference System (2025)

This post breaks down the core components of vLLM, a high-throughput LLM inference system. It covers the LLM engine, scheduling, paged attention, continuous batching, advanced features like chunked prefill and prefix caching, scaling to multi-GPU, and the serving layer. The author uses a running example and explains the V1 engine, aiming to give readers an accurate mental model of the system.