mooncake-troubleshoot

A KVCache-centric Disaggregated Architecture for LLM Serving

Paper | Slides | Traces | Documentation | Blog | Slack

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI. Now both the Transfer Engine and Mooncake Store are open-sourced! This repository also hosts its technical report and the open-sourced traces.

🔄 Updates

• May 7, 2026: 🚀 vLLM officially features Mooncake Store — a deep dive into how Mooncake's distributed KVCache engine supercharges vLLM inference with high-throughput, memory-efficient, cross-instance KV cache sharing!
• Apr 29, 2026: SGLang introduces RDMA-based P2P weight transfer for large-scale distributed RL using Mooncake TransferEngine, achieving 7x faster weight updates for the 1T-parameter Kimi-K2 model (53s → 7.2s) with zero-copy RDMA transfer across thousands of GPUs.
• Mar 19, 2026: TorchSpec: Speculative Decoding Training at Scale is open sourced, using Mooncake to decouple inference and training via efficient hidden states management.
• Mar 5, 2026: LightX2V now supports disaggregated deployment based on Mooncake, enabling encoder/transformer service decoupling with Mooncake Transfer Engine for high-performance cross-device and cross-machine data transfer.
• Feb 25, 2026: SGLang merged Encoder Global Cache Manager, introducing a Mooncake-powered global multimodal embedding cache that enables cross-instance sharing of ViT embeddings to avoid redundant GPU computation.