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Run Positron on Amazon SageMaker AI for data science workflows

WORLDTECH illustration for the AI story "Run Positron on Amazon SageMaker AI for data science workflows": abstract connected layers of network nodes. Not a photograph of the event.
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What happened

You launch a Space on the instance size you need, and teams can reserve capacity with SageMaker AI training plans so compute is available for scheduled training. Posit Assistant, Posit’s AI coding assistant, can use Amazon Bedrock as its model provider, so AI help runs on models in your own AWS account and AWS Region.

You can run multiple Spaces at once for independent projects, and use a shared Space so several people collaborate in the same Positron application. Posit publishes a container image definition for Positron, built on the Amazon SageMaker Distribution image.

Solution overview This walkthrough operates with a synthetic 50,000-loan portfolio. One project connects governed AWS data, R and Python analysis, managed serving, an application, and a reproducible report.

Key facts

  • Solution overview This walkthrough β€” uses: a synthetic 50,000-loan portfolio

Sources & evidence