AWS Announces Integration of Positron IDE with Amazon SageMaker AI

AWS has announced the integration of Positron, an integrated development environment (IDE) for data science, with Amazon SageMaker AI. This integration allows data science teams to work within a governed environment without managing credentials, as Positron runs under the Space execution role, enabling direct access to Amazon Athena, AWS Glue Data Catalog, and Amazon S3.

Key features of this integration include:

• Data Access: Data scientists can query data directly from the IDE without storing or rotating credentials.
• Compute Readiness: Users can launch a Space on the instance size they need, and teams can reserve capacity with SageMaker AI training plans to ensure compute availability.
• AI Assistance: Posit Assistant, an AI coding assistant, can use Amazon Bedrock as its model provider, ensuring AI help runs on models within the user's AWS account and region.
• Collaboration: Multiple Spaces can be run simultaneously for independent projects, and a shared Space allows multiple people to collaborate in the same Positron application.

Platform administrators can build a container image for Positron, push it to their Amazon Elastic Container Registry (Amazon ECR) repository, and register it with SageMaker AI. Data scientists then choose Positron when creating a Space and open the IDE directly in Studio.

This integration simplifies the workflow for data scientists, from exploring Amazon Athena tables to deploying real-time endpoints, all within the Amazon SageMaker Studio environment.

Source: aws-ml