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vllm v0.28.0

Source
github.com
Author
khluu
Date
Why it matters

If you self-host , this changes throughput and memory math for DeepSeek V4 and Kimi-K3 serving, and moves Model Runner V2 features like E/P/D disaggregation and weight offloading into reach.

Terms in this piece · Glossary
  • context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
  • speculative decoding — A speed trick where a small model drafts several tokens ahead and the big model verifies them in one pass, often doubling generation speed.
  • inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
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