Prefix Caching

Heavy multi-turn chat shares system prompts across requests, pick the serving framework that exploits that best.

Name the architectural shifts vLLM v1 made relative to v0

Per-token decode time grows linearly as a chat session lengthens, debug it

Translating one source sentence into many target languages, what attention-side trick scales?

Decoder-only LLMs ship without a cross-attention sub-layer, so where does the context go?

How does PagedAttention enable prefix sharing across requests and what data structure makes it cheap?

Which workload most benefits from RadixAttention specifically vs simpler per-request prefix caching?