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KVBoost: Chunk-Level Key-Value Cache Reuse with Deviation-Guided Recomputation for Efficient Large Language Model Inference
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inference optimizationcache managementlarge language models
2608.21362
Builder Relevance
2h ago80%
Abstract
KVBoost is a system that enhances key-value cache reuse for large language models, significantly reducing inference latency.
Reality Card
Core Claim
KVBoost achieves a 4.49x reduction in time-to-first-token while outperforming existing prefix caching methods by 16% without sacrificing accuracy.
Method / Result
Achieved a time-to-first-token of 142.4 ms compared to 639.1 ms with traditional methods.
Limitations
The paper does not specify the authors or provide detailed implementation guidelines, which may hinder reproducibility.
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