MoE-GPS shows that predicting only the aggregate token-to-expert distribution, instead of exact token routing, can improve MoE inference latency by more than 23% in simulation, with guidelines for when each strategy wins.
Sida: Sparsity-inspired data-aware serving for efficient and scalable large mixture-of-experts models.Proceedings of Machine Learning and Systems, 6:224–238, 2024
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MoE-GPS: Guidlines for Prediction Strategy for Dynamic Expert Duplication in MoE Load Balancing
MoE-GPS shows that predicting only the aggregate token-to-expert distribution, instead of exact token routing, can improve MoE inference latency by more than 23% in simulation, with guidelines for when each strategy wins.