Build a model improvement flywheel with Amazon SageMaker HyperPod Data Capture
Summary
- Amazon SageMaker HyperPod Data Capture records live inference inputs and outputs directly to Amazon S3.
- A walkthrough demonstrates capturing production traffic for a support router to identify a new-product blind spot using Amazon Athena.
- The captured data is then used to fine-tune models via the HyperPod training operator to measure performance lift.
Why it matters
This feature enables AI teams to build closed-loop model improvement flywheels directly on AWS infrastructure, streamlining the process from production inference capture to targeted fine-tuning.