Tools · AWS ML Blog ·
Streaming benchmark and recommendation results to MLflow with Amazon SageMaker AI
The post explains how to use the new MLflow integration with Amazon SageMaker AI benchmark and inference recommendation jobs to stream experiment data into a unified tracking interface. Metrics, parameters, and charts are sent in real time to a serverless Amazon SageMaker MLflow app.