Today, AWS announces remote connection from Visual Studio Code to Amazon SageMaker Studio development environments, enabling AI developers to use Visual Studio Code with SageMaker AI’s scalable compute resources. This new capability enables developers to connect from Visual Studio Code to SageMaker Studio in minutes instead of hours, enabling them to rapidly scale their model development.
SageMaker Studio offers a broad set of fully managed cloud interactive development environments (IDE), including JupyterLab and Code Editor based on Code-OSS (VS Code – Open Source). Starting today, you can use your customized local VS Code setup, including AI-assisted development tools and custom extensions, while accessing SageMaker AI’s compute resources and your data. You can authenticate using the AWS Toolkit extension in VS Code or through SageMaker Studio’s web interface. Once authenticated, connect to any of your SageMaker Studio development environments in a few simple clicks. You maintain the same security boundaries as SageMaker Studio’s web-based environments while developing AI models and analyzing data in Visual Studio Code.
This feature is now available in US East (Ohio) Region.
To learn more, see the following resources:
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Source: Amazon Web Services
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