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OmniPilot: Uncertainty-Aware Advisor for LLM Inference on Heterogeneous GPU Clusters
OmniPilot helps users optimize serving large language models on shared heterogeneous GPU clusters by advising on GPU type, tensor-parallel degree, and precision. It addresses challenges from fluctuating throughput, launch success rates, and cluster demand that static configurations fail to capture.
Choosing the right configuration for LLM inference on heterogeneous clusters is complex due to dynamic resource availability and performance variability. OmniPilot's uncertainty-aware approach can improve resource utilization and reduce wasted node-hours.
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Score 81
Source Type arxiv
Reposts 0
Topic Quality 54
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