Marketing description

Red Hat OpenShift Data Science is a managed 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.

Key selling points

• Quickly build experimental models with Jupyter notebooks, TensorFlow, PyTorch, and NVIDIA GPU support without worrying about the underlying infrastructure
• Consistently export models to production in a container-ready format across hybrid cloud and edge environments
• Develop best practices to accelerate AI/ML projects across hybrid clouds with Red Hat's consulting services, including Open Innovation Labs

Product features

• Accelerate your data science
  Red Hat OpenShift Data Science enables companies to solve critical business challenges by providing a fully managed cloud service environment on Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS. Red Hat OpenShift Data Science allows organizations to quickly build and deploy artificial intelligence (AI)/ML models by integrating open source applications with commercial partner technology. The ML models built in Red Hat OpenShift Data Science are easily portable to other platforms, allowing teams to deploy them in production, on containers, and in the hybrid cloud.
• Fully managed, efficient cloud service
  Through this AI/ML add-on service to Red Hat OpenShift Dedicated or Red Hat OpenShift Services for AWS, your data science teams can start their projects faster. Instead of standing up and managing your own Kubernetes infrastructure, you can focus on deploying intelligent applications, integrating the models you develop. Gain added benefits like security and operator life cycle integration, built into intelligent applications to simplify the deployment and maintenance of your models.
• Tested, supported AI/ML tooling
  Get quick updates and support for core open source tooling. Red Hat tracks, integrates, tests, and supports common AI/ML tooling like JupyterHub, TensorFlow, PyTorch, and the source-to-image framework on our Red Hat OpenShift cloud service, so you and your data scientists do not have to. OpenShift Data Science incorporates more than 30 AI/ML open source technologies, and draws from 4 years of incubation in Red Hat's Chief Technology Officer's Open Data Hub community project.