Why AI Agents Need More Than One Model
Multi-model routing in AI agents cuts latency 50% and tokens 25% with no quality loss
“Intelligence isn't one size-fits-all.”
NVIDIA GTC content makes the case for a 'system of models' architecture where specialized small models handle context gathering and routing, escalating to frontier models only for complex reasoning tasks. Glean's Waldo model, post-trained on NVIDIA Neotron 3 Nano, demonstrates this pattern in production: 10x faster enterprise search, 50% lower latency, and 25% fewer tokens with no degradation in answer quality. This signals a maturing shift in enterprise AI from single-model deployments to heterogeneous model fleets optimized for cost, speed, and task complexity.