Installation
This guide describes how to install Kubeflow Trainer control plane on a Kubernetes cluster.
You can skip these steps if the Kubeflow platform is already deployed using manifests or package distributions, as it includes Kubeflow Trainer by default.
Prerequisites
These are the minimal requirements to install Kubeflow Trainer control plane:
- Kubernetes >= 1.28
kubectl>= 1.28
Tip
If you don’t have Kubernetes cluster, you can quickly create one locally using Kind:
kind create cluster # or minikube start
Installing the Kubeflow Trainer Controller Manager
Run the following command to deploy a released version of Kubeflow Trainer controller manager:
VERSION=v2.0.0
kubectl apply --server-side -k "https://github.com/kubeflow/trainer.git/manifests/overlays/manager?ref=${VERSION}"
For the latest changes run:
kubectl apply --server-side -k "https://github.com/kubeflow/trainer.git/manifests/overlays/manager?ref=master"
Ensure that the JobSet and Trainer controller manager pods are running:
$ kubectl get pods -n kubeflow-system
NAME READY STATUS RESTARTS AGE
jobset-controller-manager-54968bd57b-88dk4 2/2 Running 0 65s
kubeflow-trainer-controller-manager-cc6468559-dblnw 1/1 Running 0 65s
Installing the Kubeflow Training Runtimes
Run the following command to deploy a released version of Kubeflow Training Runtimes:
kubectl apply --server-side -k "https://github.com/kubeflow/trainer.git/manifests/overlays/runtimes?ref=${VERSION}"
For the latest changes run:
kubectl apply --server-side -k "https://github.com/kubeflow/trainer.git/manifests/overlays/runtimes?ref=master"
Next Steps
Feedback
Was this page helpful?
Thank you for your feedback!
We're sorry this page wasn't helpful. If you have a moment, please share your feedback so we can improve.