LeanKV introduces a unified framework for compressing the memory-intensive KV cache in large language models, addressing a critical serving cost bottleneck.

• Recognizes fine-grained differences in importance between keys and values
• Applies selective compression rather than uniform treatment
• Achieves significant memory efficiency without sacrificing model performance
• Demonstrates practical engineering improvement for real-world LLM deployment

This innovation matters because it directly addresses one of the largest operational costs in LLM deployment, making advanced AI more accessible and economically viable for business applications.

Unifying KV Cache Compression for Large Language Models with LeanKV