Red Hat has announced the availability of Red Hat OpenShift Data Science as a field trial, as well as an expanded partner ecosystem focused on this new cloud service offering. Red Hat OpenShift Data Science is a cloud service offering tailored for ML on Red Hat OpenShift. Enabled by Kubernetes operators, Red Hat OpenShift Data Science gives enterprises greater flexibility in selecting the technologies to develop, test and deploy ML models, while removing the overhead associated with running and maintaining a production platform.
As a fully-managed cloud service, Red Hat OpenShift Data Science moves operational responsibility and support to Red Hat. This gives organizations the freedom to use their chosen AI/ML tools in developing the next-generation of intelligent applications to drive valuable business insights.
Several key members of Red Hat’s AI/ML partner ecosystem are now pre-integrated into the user interface dashboard, providing access to the latest in hardware and software acceleration solutions as well as tools to support the model operationalization lifecycle. This includes Intel toolkits and, planned in the near future, NVIDIA-accelerated computing support.
In addition to Intel and NVIDIA, Red Hat OpenShift Data Science includes support from several other leading AI/ML partners, including: Anaconda Commercial Edition, IBM Watson Studio with AutoAI, Seldon Deploy, and Starburst Galaxy.
Red Hat OpenShift Data Science is available via field trial today as an add-on to Red Hat OpenShift Dedicated and on Red Hat OpenShift Service on AWS.
The field trial release of Red Hat OpenShift Data Science offers general availability-level quality and support, allowing customers to try out the service, while only paying for the underlying Red Hat OpenShift Dedicated or Red Hat OpenShift Service on AWS and AWS infrastructure.