2 papers
cs.DC2026
InstantInfer: Enabling Fast LLM Cold Start with Communicating Finite Automata
Yitao Yuan, Yongchao He, Shaoke Fang +1
Cold starts in large language model (LLM) inference services significantly affect user experience, yet they remain inefficient due to sequential initialization and a massive number…
cs.DC2026
CascadeInfer: Length-Aware Scheduling of LLM Serving with Low Latency and Load Balancing
Yitao Yuan, Chenqi Zhao, Bohan Zhao +3
Efficiently harnessing GPU compute is critical to improving user experience and reducing operational costs in large language model (LLM) services. However, current inference engine…