  Mooncake is the serving platform for Kimi, a leading LLM service provided by
Moonshot AI. It features a KVCache-centric disaggregated architecture that
separates the prefill and decoding clusters. It also leverages the
underutilized CPU, DRAM, and SSD resources of the GPU cluster to implement a
disaggregated cache of KVCache. The core of Mooncake is its KVCache-centric
scheduler, which balances maximizing overall effective throughput while meeting
latency-related Service Level Objectives (SLOs). Unlike traditional studies
that assume all requests will be processed, Mooncake faces challenges due to
highly overloaded scenarios. To mitigate these, we developed a prediction-based
early rejection policy. Experiments show that Mooncake excels in long-context
scenarios. Compared to the baseline method, Mooncake can achieve up to a 525%
increase in throughput in certain simulated scenarios while adhering to SLOs.
Under real workloads, Mooncake's innovative architecture enables Kimi to handle
75% more requests.
