Red Hat OpenShift Data Science

News

Red Hat OpenShift Data Science allows data scientists to quickly develop, train, and test containerized machine learning models in the public cloud before deploying to production.

Red Hat openShift Data science Features

Experiment. Collaborate. Accelerate.

Red Hat OpenShift Data Science is a cloud service that gives data scientists and developers a powerful AI/ML platform for building intelligent applications.

Rapid deployment

Quickly develop, train, and test containerized machine learning models in the public cloud before deploying to production.

Customized environments

Choose from more than thirty popular open source and commercial tools.

Centralized dashboard

Discover, access, and learn how to use both Red Hat and partner solutions.

Integrated offerings

Additional partner offerings integrated into the dashboard to address key needs within the data science workflow.

OVERVIEW

Red Hat® OpenShift® Data Science is a cloud service for data scientists and developers of intelligent applications. It provides a fully supported sandbox in which to rapidly develop, train, and test machine learning (ML) models in the public cloud before deploying in production.

Topics

Model Development

Quickly create AI/ML models by integrating open source applications with commercial partner technology.

Model Serving

Take those models you developed on Red Hat OpenShift Data Science and deploy them as model services running on OpenShift.

Resources for model serving

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Security

Red Hat OpenShift Data Science Updates

Browse Red Hat OpenShift Data Science CVEs

Product Policies and Support Programs

Red Hat OpenShift Data Science Service Definition and Life Cycle

The service configurations and lifecycle of Red Hat OpenShift Data Science follows a release-driven, phased approach where a single, minor version is available and will be supported at any one time.