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cs.OS2026
From LLM Inference to Agentic Workloads: Characterization and Implications for Serving Systems
Chaokun Chang, Yukun Zhou, Kaihua Fu +10
Agentic applications are shifting AI serving from isolated model inference to long-running workloads in which LLMs coordinate tools, environments, and persistent state. However, th…
cs.OS2026
C2CServe: Leveraging NVLink-C2C for Elastic Serverless LLM Serving on MIG
Shutian Luo, Ali Zafar Sadiq, Rui Yang +4
Modern LLM serving is increasingly serverless in shape: large model catalogs, long-tail invocations, and multi-tenant demand. Existing GPU serving systems face a tradeoff: dedicate…