Unverified50% confidenceFactExact time
Compared to traditional Dense architecture, the MoE architecture significantly reduces the computation per forward pass while maintaining the model's total knowledge capacity, but places extremely high demands on inter-GPU communication bandwidth.
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50%
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Long-term
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9/10/2026
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UnverifiedMoE专家并行架构中不同专家分布在不同GPU上,路由决策需要跨设备的All-to-All通信,该通信开销在高并发时成为系统瓶颈73% similarVerifiedThe MoE architecture uses multiple expert networks and a routing mechanism to selectively activate only a subset of experts during each forward pass, reducing computational overhead while maintaining large model capacity.71% similarUnverifiedMoE架构中每个Token需通过All-to-All通讯路由到对应专家GPU,随集群规模增大通讯开销呈近似平方级增长71% similarUnverifiedSFU 架构相比 MCU 大幅降低服务端计算开销,相比 Mesh 显著减少客户端上行带宽需求66% similar
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