Unverified50% confidenceFactExact time
Traditional dense models use all parameters for every inference, so the complete weights must reside in memory or VRAM, otherwise every step of computation triggers a disk read.
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10/13/2026
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UnverifiedIn dense models, all parameters participate in computation for every token, and the amount of computation is strictly tied to the parameter scale.77% similarUnverifiedIn large model inference, generating each token requires reading all model weights from video memory, meaning the speed bottleneck is fundamentally a data movement problem rather than a computation problem.77% 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76% similarVerifiedDense架构中模型所有参数在每次推理时都参与计算，计算成本随参数规模线性增长，以Llama系列为代表76% similarUnverified稠密架构意味着模型在推理时会激活全部270亿参数进行计算75% similar
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