Section 1

Red Hat OpenShift AI enables companies to solve critical business challenges by providing a fully managed cloud service environment based-on the Red Hat OpenShift Service on AWS. Red Hat OpenShift AI allows organizations to quickly build and deploy artificial intelligence (AI)/ML models by integrating open-source applications with commercial partner technology.

Red Hat OpenShift AI is an easy-to-configure cloud service that provides a powerful platform for building AI/ML models and applications. It combines the self-service data scientists and developers want with the confidence enterprise IT demands into one common platform. Common tooling, such as Jupyter notebooks and associated TensorFlow and Pytorch frameworks, are an add-on to Red Hat OpenShift Service on AWS, an application platform cloud service powered by Kubernetes and co-managed by Red Hat and Amazon.

Deploy ROSA cluster set some environment variables

Make you your ROSA CLI version is correct (v1.2.25 or higher)

Run the rosa cli to create your cluster

Note there are many configurable installation options that you can view using rosa create cluster -h. The following will create a cluster with all of the default options.

Copy rosa create cluster --sts --cluster-name ${ROSA_CLUSTER_NAME} \ --region ${REGION} --mode auto --yes

Watch the install logs

Copy rosa logs install -c $ROSA_CLUSTER_NAME --watch --tail 10

Validate the cluster Once the cluster has finished installing we can validate we can access it

Create an Admin user

Copy rosa create admin -c $ROSA_CLUSTER_NAME

Wait a few moments and run the oc login command it provides. If it fails, or if you get a warning about TLS certificates, wait a few minutes and try again.

Run oc whoami --show-console, browse to the provided URL and log in using the credentials provided above.

Cleanup Delete the ROSA cluster

Once the cluster has been deleted we can delete the STS roles.

Tip You can get the correct commands with the ID filled in from the output of the previous step.