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Latency-Aware Orchestration for Multi-Agent LLM Workflows on Heterogeneous GPUs
Concurrent multi-agent workflows expose future dependencies and serving-state requirements while running on heterogeneous GPU pools with time-varying load, model residency, and resource availability. The logical workflow defines the required computation, whereas its physical scheduling units, model-
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