With latest AI developments it becomes increasingly important knowing which model to use for which task - so the costs can be managed and the work done efficiently.
NVIDIA’s August 11 release pairs two useful building blocks: Nemotron 3.5 Lightning, a 30-billion-parameter mixture-of-experts open model for specialized agent tasks, and NeMo Switchyard, an open-source routing library.
What changed:
- A specialized open model for high-volume agentic tasks
- An open routing layer for selecting models by quality, latency, or cost priorities
- Traffic can move across models and providers
- The Switchyard repository describes compatibility with native OpenAI and Anthropic APIs
The interesting part is the combination. The best production agent stack may not rely on one “best” model. It may rely on a policy that assigns each step to the smallest suitable model.
My honest take: model routing still needs careful evaluation, observability, and fallback behavior. NVIDIA’s performance and cost comparisons are vendor-reported. But the release makes the routing layer more tangible for teams that want control rather than a single-model default.
📚 Source: https://lnkd.in/dnWKFeRp
P.S. Are you routing agent tasks today, or sending everything to one default model? 👇
