评分 6 · 来源：cs.LG updates on arXiv.org · 发布于 2026-04-20
评分依据：Agentic AI执行的CPU视角分析：揭示CPU在agent执行中的瓶颈特征
要点
arXiv:2511.00739v3 Announce Type: replace-cross Abstract: Agentic AI serving converts monolithic LLM-based inference to autonomous problem-solvers that can plan, call tools, perform reasoning, and adapt on the fly. Due to diverse task execution need, such serving heavily rely on heterogeneous CPU-GPU systems with majority of the external tools responsible for agentic capability, either run on or are orchestrated by the CPU. Towards having a deeper understanding of its role, this paper aims to characterize and analyze the system bottlenecks introduced by agentic AI workloads from a largely over…
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