vLLM optimizes Beam search with TP all-reduce and MoE fusion
October 21, 2026
vLLM implemented kernel fusion for Beam search, combining Tensor Parallel (TP) all-reduce with sandwich norms and MoE finalization. This optimization reduces communication overhead during inference for Mixture-of-Experts and parallelized models.
HOW THIS AFFECTS YOU
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builderYou can expect improved inference latency for MoE models using Beam search in vLLM.