Welcome to the first briefing of the “All Things Data” series of OpenShift Commons briefings. We’ll be holding future briefings on Tuesdays at 8:00am PST, so reach out with any topics you’re interested in and remember to bookmark the OpenShift Commons Briefing calendar!
In this first briefing for the “All Things Data” OpenShift Commons series, Red Hat’s Guillaume Moutier and Landon LaSmith demo’d how to easily integrate Open Data Hub and OpenShift Container Storage to build your own data science platform. When working on data science projects, it’s a guarantee that you will need different kinds of storage for your data: block, file, object.
Open Data Hub (ODH) is an open source project that provides open source AI tools for running large and distributed AI workloads on OpenShift Container Platform.
OpenShift Container Storage (OCS) is software-defined storage for containers that provides you with every type of storage you need, from a simple, single source.
Briefing Slides: ODH on OCS
Additional Resources:
Culture of innovation: Open Data Hub
Open Data Hub Community Project Website: opendatahub.io
OpenShift AI/ML Resources: openshift.com/ai-ml
Product Documentation for Product Documentation for Red Hat OpenShift Container Storage 4.2
Feedback:
To find out more about OpenShift Container Storage or to take a test drive, visit https://www.openshift.com/products/container-storage/.
If you would like to learn more about what the OpenShift Container Storage team is up to or provide feedback on any of the new 4.2 features, take this brief 3-minute survey.
The post OpenShift Commons Briefing: JupyterHub on-demand (and other tools) with Red Hat’s Guillaume Moutier and Landon LaSmith appeared first on Red Hat OpenShift Blog.
Quelle: OpenShift
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