NVIDIA NeMo Switchyard: Route AI Agents Across Models

NVIDIA NeMo Switchyard helps developers route AI agent tasks across different models. This tool addresses the challenge that no single AI model is best for every task. Each model has unique strengths, weaknesses, and costs. For example, an AI agent might need one model for classification and another for reasoning. Sending every request to the largest model can increase cost and latency, while always using a smaller model can reduce quality. NeMo Switchyard allows developers to orchestrate specialized and frontier models, ensuring each task uses the most suitable option. At runtime, a router evaluates each request and sends it to the best model based on requirements and policies. This can improve accuracy and reduce costs compared to using one model for everything. The system considers model capabilities, cost profiles, and infrastructure signals to make routing decisions. This means developers can build more efficient and controllable AI agents for real-world workflows.