Amazon SageMaker Studio now sets up in seconds with model customization ready from the start

Amazon SageMaker Studio Quick Setup Enhancements

Amazon SageMaker Studio quick setup now completes in under twenty seconds, reduced from over two minutes. This improvement allows you to go from sign-in to a fully configured Studio environment almost instantly, whether you are building ML pipelines, exploring data, developing with notebooks, or fine-tuning foundation models.

New Features

• Newly created Studio environments now come with serverless model customization permissions automatically configured.
• A new managed policy, AmazonSageMakerModelCustomizationCoreAccess, is created and attached, providing permissions for serverless model customization jobs.
• This includes fine-tuning with custom reward functions for reinforcement learning, model evaluation, and deployment to SageMaker or Bedrock endpoints.

What to do

• Create a new Studio environment using quick setup in the SageMaker AI Console.
• For existing Studio environments, follow the actionable messages with direct links to documentation to add the necessary permissions.

This feature is available in all AWS Commercial Regions where Amazon SageMaker Studio is supported.

Source: AWS release notes

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