vLLM Deep Dive

Why it matters

vLLM dominates open-source LLM inference. Understanding shapes serving.

The architecture

PagedAttention: KV cache as pages.

Continuous batching: dynamic.

Prefix caching: shared prefixes.

How it works end to end

PagedAttention: 90%+ memory efficiency.

Continuous batching: no idle waiting.

Prefix caching: multi-turn savings.

Speculative decoding option.