ToolsThe story, in brief
Optimize video semantic search intent with Amazon Nova Model Distillation on Amazon Bedrock
95% cost cut. Amazon Nova just showed how to run semantic search on a model 50x smaller—without losing quality.
The KeyNews take
Why it matters
AWS demonstrates practical model distillation on Bedrock, enabling enterprises to deploy AI inference at dramatically lower cost and latency. This shifts the economics of real-time video search workloads and illustrates how smaller, fine-tuned models can replace larger ones in production.
The key facts
6 to knowModel Distillation technique on Amazon Bedrock
95% inference cost reduction
50% latency reduction
Amazon Nova Premier → Amazon Nova Micro student model transfer
Video semantic search use case
Production-ready routing intelligence maintained
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: In this post, we show you how to use Model Distillation, a model customization technique on Amazon Bedrock, to transfer routing intelligence from a large teacher model (Amazon Nova Premier) into a much smaller student model (Amazon Nova Micro). This approach cuts inference cost by over 95% and…