Chapter 1. Overview of upgrading OpenShift AI


Red Hat OpenShift AI is automatically updated as new release or versions become available. Currently, no administrator action is necessary to trigger the process.

When an OpenShift AI upgrade occurs, you should complete the Requirements for upgrading OpenShift AI.

Notes:

  • Before you can use an accelerator in OpenShift AI, your instance must have the associated accelerator profile. If your OpenShift cluster instance has an accelerator, its accelerator profile is preserved after the upgrade. For more information about accelerators, see Working with accelerators.
  • Notebook images are integrated into the image stream during the upgrade and subsequently appear in the OpenShift AI dashboard. Notebook images are constructed externally; they are prebuilt images that undergo quarterly changes and they do not change with every OpenShift AI upgrade.
Important

Previously, data science pipelines in OpenShift AI were based on KubeFlow Pipelines v1. Data science pipelines are now based on KubeFlow Pipelines v2, which uses a different workflow engine. Data science pipelines 2.0 is enabled and deployed by default in OpenShift AI.

Data science pipelines 1.0 resources are no longer supported or managed by OpenShift AI. After upgrading to OpenShift AI with data science pipelines 2.0, it is no longer possible to deploy, view, or edit the details of pipelines that are based on data science pipelines 1.0 from either the dashboard or the KFP API server. If you are a current data science pipelines user, do not upgrade to OpenShift AI with data science pipelines 2.0 until you are ready to migrate to the new data science pipelines solution.

OpenShift AI does not automatically migrate existing data science pipelines 1.0 instances to 2.0. If you are upgrading to OpenShift AI with data science pipelines 2.0, you must manually migrate your existing data science pipelines 1.0 instances and update your workbenches. For more information, see Migrating to data science pipelines 2.0.

Data science pipelines 2.0 contains an installation of Argo Workflows. OpenShift AI does not support direct customer usage of this installation of Argo Workflows. To upgrade to OpenShift AI with data science pipelines 2.0, ensure that no separate installation of Argo Workflows exists on your cluster.

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