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PipeSwift: Revisiting Pipeline Parallelism for Large-Scale Completion-Oriented Agentic LLM Serving

Wang, Shiju et al.
arXiv (All) · Papers
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and-cluster-computingdistributedparallel
LLM agents execute long-horizon workflows where each model response determines the progress of subsequent tool interactions and environment transitions. Unlike chatbot serving, where TTFT and TPOT SLO constraints are critical, agentic workloads are increasingly governed by completion time. This shif
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