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[Doc] Update more docs with respect to V1 (#29188)

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Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>
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Cyrus Leung
2025-11-23 10:58:48 +08:00
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parent 3ed767ec06
commit 389aa1b2eb
6 changed files with 89 additions and 100 deletions
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docs/configuration/optimization.md
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@@ -31,9 +31,7 @@ In vLLM V1, the default preemption mode is `RECOMPUTE` rather than `SWAP`, as re
Chunked prefill allows vLLM to process large prefills in smaller chunks and batch them together with decode requests. This feature helps improve both throughput and latency by better balancing compute-bound (prefill) and memory-bound (decode) operations.
In vLLM V1, **chunked prefill is always enabled by default**. This is different from vLLM V0, where it was conditionally enabled based on model characteristics.
With chunked prefill enabled, the scheduling policy prioritizes decode requests. It batches all pending decode requests before scheduling any prefill operations. When there are available tokens in the `max_num_batched_tokens` budget, it schedules pending prefills. If a pending prefill request cannot fit into `max_num_batched_tokens`, it automatically chunks it.
In V1, **chunked prefill is enabled by default whenever possible**. With chunked prefill enabled, the scheduling policy prioritizes decode requests. It batches all pending decode requests before scheduling any prefill operations. When there are available tokens in the `max_num_batched_tokens` budget, it schedules pending prefills. If a pending prefill request cannot fit into `max_num_batched_tokens`, it automatically chunks it.
This policy has two benefits: