Serving 智能体ic Workloads at Scale with vLLM x Mooncake
vLLM integrates Mooncake's distributed KV cache to solve the bottleneck of recomputing long context prefixes in agentic workloads, achieving a 3.8x throughput increase and a 46x reduction in time-to-first-token.
vLLM Blog ·