<ul><li>Key-Value cache (	exttt{KV} 	exttt{cache}) compression has emerged as a promising technique to optimize Large Language Model (LLM) serving.</li><li>The paper comprehensively reviews existing algorithmic designs and benchmark studies, identifying missing performance measurement aspects that hinder practical adoption.</li><li>Representative 	exttt{KV} 	exttt{cache} compression methods are evaluated, uncovering issues that affect computational efficiency and end-to-end latency.</li><li>Tools are provided to aid future 	exttt{KV} 	exttt{cache} compression studies and facilitate practical deployment in production.</li></ul>

Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving

Discover more