Kimi K3 Adopts LatentMoE Architecture
NielsRogge · x · 2026-07-17
It is noted that Kimi K3 utilizes the LatentMoE technique proposed by NVIDIA in January.
LatentMoE works by projecting tokens from the model's hidden dimension d into a smaller latent space ℓ before performing expert routing and computation. This reduces routing parameter load and all-to-all communication overhead by a factor of roughly d/ℓ.
The key takeaway here isn't just the release of a new model, but rather its adoption of a routing computation design that significantly cuts down MoE communication costs.
Related event: Kimi K3 Triggers a Reassessment of Chinese Frontier AI(94 posts)→
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