Data Science Wire

Govern models with MLflow and Amazon SageMaker AI Model Registry sync: Part 2

AWS Machine Learning Blog1w4 min read

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.

Read the full story at AWS Machine Learning Blog

More in MLOps / LLMOps