Unverified50% confidenceFactExact time
vLLM v0.29.0rc5 adjusts the default policy of the prefix_cache_retention_interval parameter to dense mode, optimized for state space models such as Mamba.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
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Related Claims
UnverifiedInference frameworks such as vLLM provide parameters like --max-model-len to limit the shape space and reduce compilation explosion.71% similarUnverifiedState space models represented by Mamba compress historical information by maintaining a fixed-size hidden state, with both time and space complexity of O(1) during inference.68% similarVerifiedMamba 等基于状态空间模型（SSM）的架构以线性复杂度实现序列建模，更适合实时推理68% similarUnverified时序一致性的主流实现方案分为条件化历史帧方法、显式3D锚点方法（NeRF/3DGS）和状态空间模型方法（如Mamba）三类67% similarUnverifiedvLLM employs Continuous Batching, refining the scheduling granularity to each generation step, filling slots as soon as they become available.66% similar
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