SageMaker HyperPod Launches Data Capture Capability
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On November 14, 2026, the AWS Machine Learning Blog published an article introducing the newly added built-in Data Capture capability of Amazon SageMaker HyperPod. This capability can record the inputs and outputs of online inference to Amazon S3, to build a model improvement flywheel. The article describes its three independent capture layer design: the endpoint layer, the load balancer layer, and the model pod layer. The capability has minimal impact on inference latency and does not affect model availability. So far only this announcement has been seen, with no other progress reports.
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- AWS Machine Learning BlogBuild a model improvement flywheel with Amazon SageMaker HyperPod Data Capture
Amazon SageMaker HyperPod adds a built-in Data Capture capability that records online inference inputs and outputs to Amazon S3, providing three independent capture layers—endpoint, load balancer, and model pod—with minimal latency impact and no effect on model availability.
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