The Multi-Head LatentMoE proposal splits each token into heads and distributes those parts across GPUs. Routing and expert work are performed locally on each GPU.
The source reports up to 1.61× speedup compared with standard MoE using expert parallelism. It also claims communication remains constant as the number of experts increases; these are source-reported results, not a guarantee for every workload or hardware setup.
To assess the approach, compare it with a reference implementation using the same workload, hardware, and measurement criteria. Record latency, throughput, communication, and GPU balance, then check how results change with different numbers of experts.
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