3 papers
cs.DC2026
WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving
Chiheng Lou, Sheng Qi, Rui Kang +5
Deploying multiple models within shared GPU clusters is a key strategy to improve resource efficiency in large language model (LLM) serving. Existing multi-LLM serving systems impr…
cs.DC2026
KUBEDIRECT: Unleashing the Full Power of the Cluster Manager for Serverless Computing
Sheng Qi, Zhiquan Zhang, Xuanzhe Liu +1
FaaS platforms rely on cluster managers like Kubernetes for resource management. Kubernetes is popular due to its state-centric APIs that decouple the control plane into modular co…
cs.DC2025
HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds
Chiheng Lou, Sheng Qi, Chao Jin +5
With the proliferation of large language model (LLM) variants, developers are turning to serverless computing for cost-efficient LLM deployment. However, public cloud providers oft…