Red Hat OpenShift Data Science
Artificial intelligence (AI), machine learning (ML), and deep learning (DL) have rapidly become critical for businesses and organizations as they seek to convert their data to business value. However, as data scientists strive to build their models, their efforts are often complicated by a lack of alignment between rapidly evolving tools, affecting productivity and collaboration among their teams, software developers, and IT operations. On-premise resource limitations can limit scalability, particularly as teams turn to graphic processing units (GPUs) for hardware acceleration. Popular cloud platforms offer the desired scale and attractive tools, but often lock users in, limiting architectural and deployment choices.
Red Hat® OpenShift® Data Science is a managed cloud service offering based on the open source Open Data Hub project. Inheriting capabilities from upstream efforts—such as Apache Kafka, Strimzi, and Kubeflow—Open Data Hub provides an architecture for building an AI-as-a-Service platform on Red Hat OpenShift and Ceph object storage.
With this solution, data scientists and developers can rapidly develop, train, test, and iterate ML and DL models in a fully supported sandbox environment—without waiting for infrastructure provisioning. Available as an add-on to Red Hat OpenShift Dedicated and Red Hat OpenShift Service on AWS, OpenShift Data Science combines Red Hat components, open source software, and certified partner technology from Red Hat Marketplace with the public cloud hyperscalability of Amazon Web Services (AWS).
