Red Hat OpenShift Data Science
Red Hat® OpenShift® Data Science is an open source machine learning (ML) platform for the hybrid cloud. By providing a fully supported environment to establish MLOps best practices, data scientists and developers can rapidly train, deploy and monitor ML workloads and models on-premise and in the public cloud.
Red Hat OpenShift AI is an AI-focused portfolio that provides tools across the full lifecycle of AI/ML experiments and models and includes Red Hat OpenShift Data Science.
Accelerate your data science
Red Hat OpenShift Data Science allows organizations to quickly build and deploy AI/ML models by integrating open source tooling with commercial partner applications.
The ML models built in Red Hat OpenShift Data Science are easily adaptable to other platforms, allowing teams to deploy them in production, on containers, whether on-premise, at the edge or in the public cloud. Anywhere that OpenShift runs.
Get to know Red Hat OpenShift Service on AWS (ROSA)
Expand your capabilities with Red Hat’s partner ecosystem
Improve cross-functional collaboration and simplify maintenance by extending the core Red Hat OpenShift Data Science platform with other integrated Red Hat services and products.
Collaborating through Jupyter notebooks-as-a-service
Provide pre-built or customized cluster images to your data scientists to build models using Jupyter notebooks. Red Hat OpenShift Data Science tracks changes to Jupyter, TensorFlow, and PyTorch, and other open source AI technologies.
Scaling Model Serving with Red Hat OpenShift Data Science
Models can be served for integration into intelligent applications on-premise, in the public cloud or at the edge. These models can be rebuilt, redeployed, and monitored based on changes to the source notebook.
Innovate with open source and hybrid cloud
Red Hat OpenShift Data Science integrates open source tools with Red Hat's AI/ML partner ecosystem to accelerate project development and enhance platform capabilities. Plus, with Red Hat's hybrid cloud approach you can eliminate cloud provider lock-ins and minimize vendor lock-ins.