A repository for kustomize manifests contributed by Open Data Hub community members that provide integrations of value to the greater community
- Open Data Hub Community: https://github.com/opendatahub-io/opendatahub-community
- Community Discussions: https://odh-io.slack.com
- Community meetings: http://opendatahub.io/community.html
Open Data Hub is an end-to-end AI/ML platform on top of OpenShift Container Platform that provides a core set of integrated components to support end end-to-end MLOps workflow for Data Scientists and Engineers. The components currently available as part of the ODH Core deployment are:
ODH Version | Component |
---|---|
1.4 | Ray.io |
1.4 | Pachyderm |
1.4 | Superset |
1.3 | ArgoWorkflows |
1.3 | Hue |
1.3 | Hive Thrift Server |
1.3 | Trino |
1.3 | Radanalytics Spark Operator |
Any components that were removed with the update to ODH 1.4 have been relocated to the ODH Contrib organization under the odh-contrib-manifests repo. You can reference the odh-contrib kfdef as a reference on how to deploy any of the odh-contrib-manifests components
We are relying on Kustomize v3, kfctl and Open Data Hub Operator for deployment.
The two ways to deploy are:
- Following Getting Started guide using a KFDef from this repository as the custom resource.
- Using
kfctl
and follow the documentation at Kubeflow.org. The only change is to use this repository instead of Kubeflow manifests.
To submit issues please file a GitHub issue in odh-contrib-manifests