Installing Kubeflow
This guide describes how to install Kubeflow subprojects, Kubeflow Community Distribution, or vendor-packaged Kubeflow Distributions.
Read the introduction guide to learn more about Kubeflow concepts.
Installation Methods
You can install Kubeflow using one of these methods:
Kubeflow Subprojects
Kubeflow subprojects in the Kubeflow landscape can be deployed as a standalone services, without the need to install the entire Kubeflow distribution. You might integrate these services as part of your existing AI platform or use them independently.
These projects are a quick and easy method to get started with the Kubeflow. They provide flexibility to users who may not require the capabilities of a full Kubeflow distribution.
The following tables list Kubeflow subprojects grouped by their corresponding maturity levels. Learn more about maturity levels expectations and requirements in this document
You can find the list of archived projects in this document.
Graduated Projects
These projects are stable and ready for general availability. Breaking changes are only allowed following the defined feature lifecycle for the project.
| Kubeflow Subproject | Roadmap |
|---|---|
| Kubeflow Hub | Roadmap |
| Kubeflow Katib | Roadmap |
| Kubeflow Notebooks | Progressing |
| Kubeflow Pipelines | Roadmap |
| Kubeflow Spark Operator | Roadmap |
| Kubeflow Trainer | Roadmap |
Incubating Projects
These projects are actively developed, broadly usable, and on track for Graduation. While most core functionality is stable, it is still maturing toward a final release.
| Kubeflow Subproject | Roadmap |
|---|---|
| Kubeflow Kale | Progressing |
| Kubeflow SDK | Roadmap |
Experimental Projects
Not all pieces of these projects are in place, and it may not be ready for wider adoption. User feedback around the UX of these projects is desired, such as for Custom Resource Definition APIs, technical implementation details, and planned use-cases for the projects.
| Kubeflow Subproject | Roadmap |
|---|---|
| Kubeflow MLflow Integration | Progressing |
| Kubeflow MCP Server | Progressing |
| Kubeflow MCP Spark History Server | Progressing |
Deprecated Projects
Development of this project is halted and no new versions are planned. New issues will likely not be worked on except for critical security issues. Projects assets that are included in the releases are expected to exist for at least two minor releases or one year, whichever happens later.
Currently, Kubeflow doesn’t have any deprecated projects.
Kubeflow Distributions
You can use one of the following methods to install the Kubeflow Distributions.
Kubeflow Community Distribution
See the definition for Kubeflow Community Distribution in the overview page
If you want a stable / conservative experience we recommend to use the latest stable release:
You can also install the master branch of
kubeflow/community-distribution
by following the instructions here
and provide us feedback.
Packaged Distributions
See the definition for Kubeflow Distributions in the overview page
The following table lists distributions which are maintained by their respective maintainers:
| Maintainer Distribution Name | Kubeflow Version | Target Platform | Link |
|---|---|---|---|
| Canonical Charmed Kubeflow | [release notes] | Multiple | Website |
| prokube.ai prokube MLOps | Multiple Kubernetes distributions | Website | |
| Microsoft Azure | [release notes] | Azure Kubernetes Service (AKS) | Website |
| Nutanix | Nutanix Kubernetes Platform | Website | |
| QBO GPU Cloud | [release notes] | QBO Kubernetes Engine (QKE) | Website |
| Red Hat Open Data Hub | OpenShift | Website |
Next steps
- Review our introduction to Kubeflow.
- Explore the architecture of Kubeflow.
- Learn more about the Kubeflow subprojects.
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