文件列表:

.kube-linter.yaml (51, 2023-10-06)
LICENSE (11357, 2023-10-06)
Makefile (2061, 2023-10-06)
OWNERS (178, 2023-10-06)
RELEASE.md (1660, 2023-10-06)
ceph/ (0, 2023-10-06)
ceph/object-storage/ (0, 2023-10-06)
ceph/object-storage/nano/ (0, 2023-10-06)
ceph/object-storage/nano/base/ (0, 2023-10-06)
ceph/object-storage/nano/base/kustomization.yaml (411, 2023-10-06)
ceph/object-storage/nano/base/secret-rbac.yaml (476, 2023-10-06)
ceph/object-storage/nano/base/service-account.yaml (90, 2023-10-06)
ceph/object-storage/nano/base/service.yaml (632, 2023-10-06)
ceph/object-storage/nano/base/statefulset.yaml (3302, 2023-10-06)
ceph/object-storage/scc/ (0, 2023-10-06)
ceph/object-storage/scc/base/ (0, 2023-10-06)
ceph/object-storage/scc/base/kustomization.yaml (541, 2023-10-06)
ceph/object-storage/scc/base/params.env (11, 2023-10-06)
ceph/object-storage/scc/base/params.yaml (188, 2023-10-06)
ceph/object-storage/scc/base/securitycontextconstraint.yaml (875, 2023-10-06)
codeflare-stack/ (0, 2023-10-06)
codeflare-stack/OWNERS (212, 2023-10-06)
codeflare-stack/base/ (0, 2023-10-06)
codeflare-stack/base/codeflare-notebook-imagestream.yaml (647, 2023-10-06)
codeflare-stack/base/instascale.yaml (122, 2023-10-06)
codeflare-stack/base/kustomization.yaml (412, 2023-10-06)
codeflare-stack/base/mcad.yaml (255, 2023-10-06)
codeflare-stack/base/params.env (22, 2023-10-06)
codeflare-stack/base/params.yaml (74, 2023-10-06)
codeflare-stack/rbac/ (0, 2023-10-06)
codeflare-stack/rbac/kustomization.yaml (161, 2023-10-06)
codeflare-stack/rbac/mcad-controller-ray-clusterrole.yaml (298, 2023-10-06)
... ...

# Open Data Hub Manifests A repository for [Open Data Hub](https://opendatahub.io) components Kustomize manifests. ## Community * Website: https://opendatahub.io * Documentation: https://opendatahub.io/docs/ * ODH Community: https://opendatahub.io/community/ ## ODH Core Components 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 Dashboard](https://github.com/opendatahub-io/odh-dashboard) * [ODH Notebook Controller](odh-notebook-controller/README.md) * [ODH Notebook Images](https://github.com/opendatahub-io/notebooks/blob/main/README.md) * [ModelMesh](model-mesh/README.md) * [TrustyAI Explainability](https://github.com/trustyai-explainability) ## ODH Incubating Components * [Distributed Workloads](https://github.com/opendatahub-io/distributed-workloads) * [Code Flare](https://github.com/project-codeflare) * [ODH Notebook Images](https://github.com/opendatahub-io/odh-manifests/tree/master/notebook-images/overlays/additional) * Code Server Notebook * R Studio Notebook (CPU & CUDA) Any components that were removed with the update to ODH 1.4 have been relocated to the [ODH Contrib](https://github.com/opendatahub-io-contrib) organization under the [odh-contrib-manifests](https://github.com/opendatahub-io-contrib/odh-contrib-manifests) repo. You can reference the [odh-contrib kfdef](kfdef/odh-contrib.yaml) as a reference on how to deploy any of the odh-contrib-manifests components ### Component Versions | Manifest Version | ODH Dashboard | ODH Notebook Controller | ODH Notebook Images | Data Science Pipelines | ModelMesh | | ---------------- | ------------------ | ----------------------- | ------------------- |----------------------- | --------- | | master | v2.14.0-incubation | v1.6 | 2023a | v0.2.2 | v0.11.0 | Release notes and component versions for each ODH release is available on [opendatahub.io](https://opendatahub.io/blog/?type=release) ## Deploy We are relying on [Kustomize v3](https://github.com/kubernetes-sigs/kustomize), [kfctl](https://github.com/kubeflow/kfctl) and [Open Data Hub Operator](https://github.com/opendatahub-io/opendatahub-operator/blob/master/README.md) for deployment. The two ways to deploy are: 1. Following [Getting Started](https://opendatahub.io/docs/quick-installation/) guide using a KFDef from this repository as the custom resource. ## Issues To submit issues please file a GitHub issue in [opendatahub-community](https://github.com/opendatahub-io/opendatahub-community/issues)

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