Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each

2026-09-16来源 NVIDIA Developer BlogEnglish
Dense vs. MoE Models: Active Parameters, Throughput, and When to Choose Each
How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5 Lightning illustrates the...

How can a 30B-parameter model activate only 3B parameters per token, and still use the capacity of the larger model? Nemotron 3.5 Lightning illustrates the answer: It uses a Mixture-of-Experts (MoE) architecture that selects only a subset of its parameters for each token. There are two dominant model architectures: Dense model and MoE. How a model organizes its parameters matters as much as…

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原文:https://www.a8q9.cn/en/article/dense-vs-moe-models-active-parameters-throughput-and-when-to-choose-each-893e82.html

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