Unverified50% confidenceTradeoffExact time
The trade-off of MoE is higher demand on VRAM capacity, because all expert parameters need to be loaded simultaneously, along with more complex load-balancing engineering.
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50%
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Long-term
Relevance
9/25/2026
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Related Claims
UnverifiedAlthough the MoE architecture reduces computational costs, its large total parameter count still places high demands on VRAM and storage, posing greater challenges for local deployment.75% similarUnverifiedThe 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.73% similarUnverifiedThe 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 ratio65% similarUnverifiedReserving sufficient resource headroom during batch high-resolution generation is critical.62% similar
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