Chapter 6. Support removals
This section describes major changes in support for user-facing features in Red Hat OpenShift AI. For information about OpenShift AI supported software platforms, components, and dependencies, see Supported configurations.
6.1. Data science pipelines v1 upgraded to v2
Previously, data science pipelines in OpenShift AI were based on KubeFlow Pipelines v1. Starting with OpenShift AI 2.9, data science pipelines are based on KubeFlow Pipelines v2, which uses a different workflow engine. Data Science Pipelines (DSP) 2.0 is enabled and deployed by default in OpenShift AI. For more information, see Enabling Data Science Pipelines 2.0.
DSP 2.0 contains an installation of Argo Workflows. OpenShift AI does not support direct customer usage of this installation of Argo Workflows. To install or upgrade to OpenShift AI 2.9 with DSP 2.0, ensure that there is no existing installation of Argo Workflows on your cluster.
It is no longer possible to deploy, view, or edit the details of pipelines that are based on Data Science Pipelines (DSP) 1.0 from the dashboard in OpenShift AI 2.10. If you already use data science pipelines, Red Hat recommends that you stay on OpenShift AI 2.8 until full feature parity in DSP 2.0 has been delivered in a stable OpenShift AI release and you are ready to migrate to the new pipeline solution. For a detailed view of the release lifecycle, including the full support phase window, see Red Hat OpenShift AI Self-Managed Life Cycle.
If you want to use existing pipelines and workbenches with DSP 2.0 after upgrading to OpenShift AI 2.10, you must update your workbenches to use the 2024.1 notebook image version and then manually migrate your pipelines from DSP 1.0 to 2.0. For more information, see Upgrading to DSP 2.0.
6.2. Embedded subscription channel no longer used
Starting with OpenShift AI 2.8, the embedded subscription channel is no longer used. You can no longer select the embedded channel for a new installation of the Operator. For more information about subscription channels, see Installing the Red Hat OpenShift AI Operator.
6.3. Removal of bias detection (TrustyAI)
Starting with OpenShift AI 2.7, the bias detection (TrustyAI) functionality has been removed. If you previously had this functionality enabled, upgrading to OpenShift AI 2.7 or later will remove the feature. The default TrustyAI notebook image remains supported.
6.4. Version 1.2 notebook container images for workbenches are no longer supported
When you create a workbench, you specify a notebook container image to use with the workbench. Starting with OpenShift AI 2.5, when you create a new workbench, version 1.2 notebook container images are not available to select. Workbenches that are already running with a version 1.2 notebook image continue to work normally. However, Red Hat recommends that you update your workbench to use the latest notebook container image.
6.5. Beta subscription channel no longer used
Starting with OpenShift AI 2.5, the beta subscription channel is no longer used. You can no longer select the beta channel for a new installation of the Operator. For more information about subscription channels, see Installing the Red Hat OpenShift AI Operator.
