Unverified50% confidenceTradeoffExact time
The routing in a MoE model dynamically selects experts on a per-token basis, so all 35B parameters must reside in VRAM simultaneously—computation is cheap but VRAM usage is not reduced.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAlthough the MoE architecture activates fewer parameters, all 671B parameters still need to be loaded into VRAM for on-demand use, and the model's VRAM consumption is not significantly reduced by the MoE architecture.69% similarVerifiedThe MoE architecture uses a router to dynamically select the Top-K experts for computation for each token, allowing the total parameter count to scale while keeping the number of activated parameters per inference constant.69% similarUnverifiedThe VRAM usage and inference latency of MoE architectures are calculated based on the number of activated parameters, not the total parameter count.69% similarUnverified部署MOE模型时必须按总参数量而非激活参数量来估算显存需求，因为所有参数都需要在高速存储中随时可访问68% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/902867API
curl https://kongchang.com/api/v1/knowledge/claims/902867MCP
get_claim(id=902867)