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

Technical deep dive breaks down vLLM's V1 engine — paged attention, continuous batching, prefix caching, speculative decoding, disaggregated prefill/decode, and multi-GPU serving. Analysis is based on commit 42172ad (August 9, 2025) and is the first in a series aimed at contributors.