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You are serving a reasoning model whose answers run 30K output tokens. Which engine do you pick, and how do you configure it?

Short prompts, enormous replies, and a KV footprint that grows every step after admission. The answer sizes the batch from the pool, prices a preemption, and shows why per-user speed, not throughput, is the number to defend.

Updated Oct 2026 · Worked answers on inference mechanisms, with calculations, implementation details, and follow-up questions.

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