Verified65% confidenceTradeoffExact time
The weights of all experts in a MoE model still need to reside in memory, so the demand for memory capacity does not decrease with the activation ratio
3
Sources
65%
Confidence
Long-term
Relevance
9/23/2026
First Seen
Sources
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Related Claims
UnverifiedThe file size and VRAM usage of a MoE model depend on the total parameter count rather than the activated parameter count, because all expert weights need to be stored.76% similarUnverifiedAlthough MoE models have low computational requirements, the entire model still needs to be loaded into memory, so the total memory requirement is not low; however, memory bandwidth pressure is greatly reduced because only the activated parameters are read each time.76% similarUnverifiedThe download size of an MoE model is far larger than a dense model with equivalent inference cost, because all expert weights need to be stored locally.69% similarUnverifiedThe upper limit of system memory capacity directly determines the size of model a user can run without sacrificing additional precision.68% similar
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