Open Data Hub (ODH) is an open source project that provides open source AI tools for running large and distributed AI workloads on the OpenShift Container Platform. Currently, the Open Data Hub project provides open source tools for distributed AI and Machine Learning (ML) workflows, Jupyter Notebook development environment and monitoring. The Open Data Hub project roadmap offers a view on new tools and integration the project developers are planning to add.
Included in the Open Data Hub core deployment are several open source components, which can be individually deployed and managed by the opendatahub-operator DataScienceCluster CustomResource
For further information refer to the architecture and release notes.
Open Data Hub (ODH) adopted an organization and governance model to foster transparent decision making and innovation. The project is organized into Special Interest Groups (SIG) and Working Groups (WG). The table below offers an overview of the current structure. For more information, read the Governance section, or the individual SIG/WG links in the ODH Community repo
Contribution Guidelines: https://github.com/opendatahub-io/opendatahub-community/blob/master/contributing.md
Roadmap: https://opendatahub.io/docs/future
Getting Started: https://opendatahub.io/docs/quick-installation
Report an Issue: https://github.com/opendatahub-io/opendatahub-community/issues