Building a production-grade cloud-native large model inference platform based on SGlang RBG + Mooncake
This article introduces the technology for building a production-grade cloud-native large model inference platform based on SGlang RBG and Mooncake. Large language model inference services have become the core infrastructure for enterprise applications, facing challenges in performance, stability, and cost. By utilizing a distributed architecture and external KVCache, it addresses memory pressure and achieves high-performance inference. Mooncake provides high throughput and low latency distributed services, while RBG, as a Kubernetes-native API, coordinates orchestration to tackle production environment challenges
