Profiling shows persistent expert load imbalance and domain-specific activation patterns in large MoE models; workload-aware grouping and placement reduce all-to-all communication volume by up to 20x.
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Scaling Multi-Node Mixture-of-Experts Inference Using Expert Activation Patterns
Profiling shows persistent expert load imbalance and domain-specific activation patterns in large MoE models; workload-aware grouping and placement reduce all-to-all communication volume by up to 20x.