Amazon SageMaker AI announces serverless MLflow capability for faster AI development

Amazon SageMaker AI Serverless MLflow Capability

Amazon SageMaker AI now offers a serverless MLflow capability that dynamically scales to support AI model development tasks. AI developers can begin tracking, comparing, and evaluating experiments without waiting for infrastructure setup.

With this update, MLflow scales dynamically to deliver fast performance for demanding and unpredictable model development tasks, then scales down during idle time. Administrators can enhance productivity by setting up cross-account access via Resource Access Manager (RAM) to simplify collaboration across organizational boundaries.

The serverless MLflow capability on Amazon SageMaker AI is offered at no additional charge and works natively with familiar Amazon SageMaker AI model development capabilities. Customers can access the latest version of MLflow on Amazon SageMaker AI with automatic version updates.

What to do

• Set up cross-account access via Resource Access Manager (RAM) to simplify collaboration.
• Utilize MLflow's automatic version updates for the latest features.

Source: AWS release notes

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