To install Kubeflow on Amazon EKS, first choose an AWS-specific or upstream deployment, then select a compatible Kubeflow release, AWS manifests branch, and Kubernetes version. Create or select the EKS cluster, prepare the matching deployment tools, apply the release-specific manifests, and verify identity, storage, and image compatibility before onboarding users.
Do not copy the historical AWS examples as current setup commands: the AWS documentation reviewed includes Kubeflow v1.7.0 with AWS manifests v1.7.0-aws-b1.0.3, plus an EKS Kubernetes v1.25 cluster example. Those versions describe old documentation, not a recommended release pair. Check the compatibility and installation instructions for the exact release you intend to deploy.
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Choose an AWS-specific or upstream deployment
The AWS Labs distribution offers a vanilla deployment and optional integrations. Upstream Kubeflow manifests also support EKS and let you deploy the full platform or select individual components. Pick based on operational responsibilities—especially identity, databases, and artifact storage—not on an assumed price or product tier.
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|---|---|---|
| Vanilla AWS distribution | Designed to stay close to upstream Kubeflow with minimal changes and optimization for EKS. | Teams seeking a relatively simple AWS deployment with fewer added integrations. |
| RDS integration | Uses a managed database for pipelines and metadata instead of locally managed MySQL. | Teams deciding whether database operations should be handled through a managed AWS service. |
| S3 integration | Stores pipeline artifacts in S3 rather than hosting local MinIO. | Teams choosing how to operate and integrate artifact storage. |
| Cognito integration | Provides an AWS identity option that avoids managing users or Dex connectors. | Organizations assessing identity-provider fit and account administration. |
| Upstream community manifests | Supports EKS and deployment of all or selected components with Kustomize. | Teams prioritizing upstream customization or a component-by-component installation. |
| AWS Terraform deployment | The AWS deployment-options page reviewed lists Terraform, but describes those options as preview. | Teams evaluating automation while accounting for preview maturity. |
The documentation cited for these options does not establish a comparative cost winner. Evaluate operational workload, identity, storage, availability, security, and organization-specific AWS costs for your environment.
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Select a compatible release before creating the cluster
Choose the Kubeflow release and, for the AWS-specific path, its corresponding AWS manifests release branch before running installation commands. Check that release’s supported Kubernetes versions and component requirements, then choose an EKS Kubernetes version that fits them. The AWS prerequisites documentation’s v1.7.0 / v1.7.0-aws-b1.0.3 pairing is a historical example, not a version-selection recommendation.
Use the installation instructions for the chosen release as the source of truth for commands and tool versions. The AWS prerequisites page reviewed was modified in September 2023; its Python 3.8 detail and branch examples are historical documentation, not confirmation of a current toolchain. Likewise, the AWS EKS creation page was changed in April 2023, and its Kubernetes v1.25 example should not be copied without a compatibility check.
Prepare a deployment environment
The AWS prerequisites guide describes using an Ubuntu environment, cloning both awslabs/kubeflow-manifests and upstream kubeflow/manifests, and checking out the chosen release branches. It also documents a make install-tools target that installs AWS CLI, eksctl, kubectl, yq, jq, Kustomize, Python, Terraform, and Helm. Treat that list as a guide to the deployment dependencies; verify tool versions against the selected release instructions rather than assuming this historical page defines today’s supported versions.
- Set up the host. Use an Ubuntu environment if following the AWS prerequisites path, and install the tools at versions required by your selected release.
- Check AWS access. Verify that the AWS CLI is configured with credentials for the intended account and that the selected region is correct before creating resources.
- Check out aligned manifests. Clone the repositories required by your chosen deployment family and check out the matching release branches. Do not combine arbitrary branches.
- Validate the environment. Confirm that the configured AWS identity can create or manage the required EKS and supporting resources, and that the documented deployment tools are available.
Do not run an old install target or copy a historical command until you have checked it against the instructions for your selected release.
Create or select the EKS cluster
For the AWS Kustomize or Helm path, the AWS deployment guide expects an EKS cluster to exist before Kubeflow is installed. You can create one using the release-compatible procedure or select an existing cluster that meets the chosen release’s requirements. The historical example uses eksctl and enables an OIDC identity provider, but its cluster version and node configuration are not current sizing guidance.
AWS’s EKS user guide recommends an OIDC provider for certain add-ons and workload-specific IAM permissions. This matters when Kubeflow controllers or workloads need AWS access: plan how those permissions will be assigned rather than relying on broad node permissions. Workloads that use EBS volumes also need the EBS CSI driver installed before those workloads run.
The old AWS cluster example specifies Kubernetes v1.25 and five M5 nodes. Treat both as dated example values. Select the Kubernetes version only after checking the chosen Kubeflow release’s compatibility, and size nodes for your expected workloads, availability, and resource needs rather than reusing that example.
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The AWS deployment documentation lists Kustomize, Helm, and Terraform routes. The upstream community manifests support a single-command deployment or installation of individual components with Kustomize. The correct sequence and commands depend on the selected release and deployment family; use that release’s own documentation rather than a command copied from an older AWS page.
- Follow the release-specific prerequisites. Confirm the Kubernetes version, required tools, cluster assumptions, and branch pair for the selected route.
- Choose full-platform or component deployment. With upstream manifests, decide whether to install all components or only the components your platform needs.
- Apply the documented manifests. Use the exact Kustomize, Helm, or Terraform instructions for the selected branch. The AWS page reviewed describes its Terraform options as preview, so account for that maturity when choosing it.
- Verify before exposing the platform. Check that the installation completed as expected and that its authentication and storage configuration match your design before inviting users or running production workloads.
Secure authentication and AWS permissions
For workloads or controllers that need AWS permissions, use an identity design appropriate to the cluster and the specific permissions required. The EKS documentation’s OIDC guidance is relevant to workload-specific IAM patterns. Keep permissions scoped to the component or workload that needs them instead of treating cluster access as a substitute for workload identity.
The upstream community installation documentation describes default Dex credentials of [email protected] with password 12341234 and explicitly warns that production deployments should change the default password. Change sample credentials before production use, and verify the actual deployment’s authentication configuration; an AWS integration may use a different identity path.
Check storage and node architecture
EBS-backed volumes
If your Kubeflow workloads use EBS volumes, install the EBS CSI driver before scheduling those workloads, as directed by AWS EKS guidance. Confirm that the cluster’s storage configuration matches the workloads’ needs.
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Decide whether to use AWS integrations for S3 artifact storage and RDS-backed pipeline and metadata databases, or operate the corresponding local services. These choices change what your team must manage; they are not interchangeable defaults.
ARM64 nodes
Upstream documentation notes that some Kubeflow images may not be available for ARM64 (aarch64). Before using ARM nodes, verify image availability for every selected component and workload. An unsupported image can prevent a component from starting even when the cluster itself is healthy.
Quick Recap
Pre-deployment checklist
- The Kubeflow release, AWS manifests branch (if applicable), and EKS Kubernetes version are compatible according to release-specific documentation.
- The deployment host has the required tools at supported versions, and AWS credentials and region point to the intended environment.
- The EKS cluster is ready before the AWS Kustomize or Helm installation path begins.
- OIDC and workload-specific IAM permissions are planned for components that need AWS access.
- The EBS CSI driver is installed if workloads will use EBS volumes.
- Database, artifact storage, and identity choices match the team’s operational model.
- All selected component images support the cluster’s CPU architecture.
- Default or sample authentication credentials have been replaced before production use.
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