Infrastructure · NVIDIA Generative AI Blog · Update

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?

Why it matters

This matters to teams making deployment, cost, latency, reliability, or observability decisions. Workload shape and benchmark conditions are the key context.

What changed

The technical change sits in infrastructure. Check what is available now, how it was evaluated, and where the source's claim stops.

What to watch

The main uncertainty is scope: vendor claims still need workload, pricing, availability, and independent context.