Red Hat Announces New Collaborations and Enhancements to OpenShift Data Science

Red Hat OpenShift Data Science, the managed cloud service for data scientists and developers of intelligent applications, is adding a slew of new updates and features to promote deeper data analysis and better collaboration between ITOps, data scientists, and intelligent application developers.

Furthermore, customers can now use committed AWS spend to purchase and run Red Hat OpenShift Data Science directly through AWS Marketplace, providing easier accessibility and flexibility for deployments. This is included as part of Red Hat’s latest announcement for its expanded portfolio of open solutions publicly available in AWS Marketplace.

New feature highlights include:

  • Support for custom Jupyter Notebooks
  • Customized NVIDIA GPU support
  • New collaboration with Pachyderm

The Red Hat OpenShift partner ecosystem comprises some of the world’s most popular data science technologies, all with certified Red Hat OpenShift Operators.  A select number of these commercial partner products have been integrated directly within Red Hat OpenShift Data Science to provide more advanced data lifecycle capabilities.

That integration continues to grow with the addition of Pachyderm. Pachyderm provides automatic data versioning and allows data science teams to build and scale containerized, data-driven machine-learning pipelines with guaranteed data lineages. Customers can more easily track changes to models and be assured that the right models are put into production.

This partner offering is the latest addition to current integrations with Starburst, Anaconda Commercial Edition, IBM Watson Studio, Intel OpenVINO, and AI Analytics Toolkit, all of which can be accessed directly within the Red Hat OpenShift Data Science dashboard.

A data science projects UI has been added to the AI cloud service, which provides the ability to organize model development and artifacts into multiple projects to foster increased collaboration. 

Extended MLOps capabilities such as data science model serving based on open source projects will help with production deployment of models across the various footprints where OpenShift can run. The initial underpinnings of model monitoring will allow data scientists and IT operations teams to track the health and performance of models as they are rolled into production.

Several Red Hat Cloud Services, including Red Hat OpenShift Data Science, are now HIPAA-ready and able to support HIPAA covered entities in building healthcare applications.

Built on Red Hat OpenShift, these HIPAA-ready Red Hat Cloud Services can help reduce operational complexity by allowing organizations in the healthcare industry to focus on what matters—building innovative solutions and applications that can improve patient care and services.

Red Hat OpenShift Data Science is currently available in AWS Marketplace and on Red Hat OpenShift Service on AWS (ROSA) as a limited release, with full general availability in the coming weeks. In the months ahead, Red Hat will continue to introduce new features and functionalities, including enhanced data science pipeline capabilities and support for additional public cloud services.

Each new feature will reflect the company’s commitment to providing an easy-to-use common data science platform. This platform allows teams to consistently export models to production across all cloud and edge environments and provision data science projects, regardless of their underlying infrastructure, according to the vendor.

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