Nemotron Elastic is built around adaptability — it can dynamically adjust its active parameter count to match the computational budget available, making it behave differently depending on how much headroom you give it. This means it can run leaner when resources are tight without swapping to a different model entirely. The trade-off is that its behavior isn't as predictable as fixed-size models, since output quality shifts with the resource allocation.