Expired90% confidenceFactExact time
vLLM implements a Continuous Batching mechanism that allows new requests to be inserted immediately after some requests in a batch are completed, without waiting for the entire batch to finish.
8
Sources
90%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
vLLM Deep Dive: How PagedAttention Enables High-Throughput LLM Inference
githubvllm-project6/6/2026
Related Claims
UnverifiedContinuous Batching allows new requests to be inserted into an existing batch in-flight and is implemented by inference engines such as vLLM and TensorRT-LLM.85% similarUnverifiedContinuous Batching adopts iteration-level scheduling granularity, allowing completed requests to be removed and new requests to be inserted upon each token generation completion.74% similarUnverifiedvLLM的前缀缓存（Prefix Caching）对KV Cache块计算哈希值，当新请求输入前缀与已缓存请求重叠时直接复用物理缓存块，跳过该部分prefill计算67% similarUnverified一个异步FastAPI服务可以用单进程同时处理数十个并发LLM请求，而同步版本在同等条件下可能只能串行处理67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/54034API
curl https://kongchang.com/api/v1/knowledge/claims/54034MCP
get_claim(id=54034)