2 papers
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.DC2026
Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism
Vikranth Srivatsa, Zijian He, Pu Guo +2
LLM serving is increasingly multi-tenant: the same deployment must handle latency-critical interactive requests and more relaxed background workloads under a fixed GPU budget. This…