AWS demonstrates how model distillation can slash video search costs by 95% while cutting latency in half using Amazon Nova models.

Amazon Bedrock's Model Distillation technique transfers knowledge from the larger Amazon Nova Premier model to the smaller Amazon Nova Micro model

The approach reduces inference costs by over 95% while maintaining high-quality semantic routing for video search tasks

Latency is cut by 50%, improving user experience without sacrificing the nuanced understanding needed for accurate video semantic search