Run Positron on Amazon SageMaker AI for data science workflows
Positron IDE now runs natively on SageMaker AI—one governed workspace for data exploration, model training, and deployment.
Why it matters
A workflow integration that reduces friction for data teams already in the AWS ecosystem. Practitioners using SageMaker Studio can now stay in Positron without context-switching, streamlining the path from data validation to production endpoints.
The key facts
9 to knowPositron (Posit's IDE for data science) integrated into Amazon SageMaker AI
Workflow includes: Athena table exploration → feature validation (R) → model training (XGBoost, Python) → SageMaker endpoint deployment → Quarto reporting
Runs within governed SageMaker Studio Space
Single-environment setup reduces tool fragmentation for data teams
Combines open-source tools (XGBoost, R, Python, Quarto) with AWS managed services
Positron IDE now available on Amazon SageMaker AI
Integrated workflow: Athena → feature validation (R) → model training (XGBoost in Python) → SageMaker endpoint deployment → reporting (Quarto)
Multi-language support (R and Python) in single environment
Enables real-time endpoint deployment from IDE
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Positron, Posit's IDE for data science, now runs on Amazon SageMaker AI. This post shows how a data scientist explores an Amazon Athena table, validates features in R, trains an XGBoost model in Python, deploys a real-time SageMaker AI endpoint, and reports results with Quarto, all in one governed…