Deploying machine learning models into production is the ultimate goal of any machine learning pipeline, but Kubeflow doesn’t actually do the deployment of the final model artifact. Kubeflow orchestrates (i.e. deploys containers) the steps within the machine learning pipeline. If you want to deploy your model you need another service or system to do that, or write a custom step to do the deployment for you. I’d suggest using another service, because deployment can get complicated.