KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving

Researchers introduced KVServe, a modular and adaptive KV cache compression framework for disaggregated LLM serving.

KVServe uses Bayesian search and an online bandit controller to pick compression profiles based on workload and service goals.

In vLLM-based experiments, it delivered large gains in job completion time and time-to-first-token.

The result highlights that service-aware compression can cut network cost and latency without a fixed static setting.