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Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2 | Amazon Web Services
Governing models across accounts is the next step after automatic model registration. This post extends managed MLflow and Amazon SageMaker AI Model Registry sync to two cross-account governance topologies: a hub-and-spoke pattern that centralizes governance with AWS RAM, and a hybrid pattern that keeps development accounts isolated.
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Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 1 | Amazon Web Services
Managed MLflow on Amazon SageMaker AI now syncs richer model metadata (training metrics, evaluation results, inference specs, and lineage) into the SageMaker AI Model Registry,…
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Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2 | Amazon Web Services
Governing models across accounts is the next step after automatic model registration. This post extends managed MLflow and Amazon SageMaker AI Model Registry sync to two…