Chapter 7. Resolved issues


The following notable issues are resolved in Red Hat OpenShift AI 2.11.

Security updates, bug fixes, and enhancements for Red Hat OpenShift AI 2.11 are released as asynchronous errata. All OpenShift AI errata advisories are published on the Red Hat Customer Portal.

7.1. Issues resolved in Red Hat OpenShift AI 2.11

For a complete list of updates, see the Errata advisory.

RHOAIENG-8819 - ibm-granite/granite-3b-code-instruct model fails to deploy on single-model serving platform

Previously, if you tried to deploy the ibm-granite/granite-3b-code-instruct model on the single-model serving platform by using the vLLM ServingRuntime for KServe runtime, the model deployment would fail with an error. This issue is now resolved.

RHOAIENG-8218 - Cannot log in to a workbench created on an OpenShift 4.15 cluster without OCP internal image registry

When you create a workbench on an OpenShift cluster that does not have the OpenShift Container Platform internal image registry enabled, the workbench starts successfully, but you cannot log in to it.

This is a known issue with OpenShift 4.15.x versions earlier than 4.15.15. To resolve this issue, upgrade to OpenShift 4.15.15 or later.

RHOAIENG-7346 - Distributed workloads no longer run from existing pipelines after upgrade

Previously, if you tried to upgrade to OpenShift AI 2.10, a distributed workload would no longer run from an existing pipeline if the cluster was created only inside the pipeline. This issue is now resolved.

RHOAIENG-7209 - Error displays when setting the default pipeline root

Previously, if you tried to set the default pipeline root using the data science pipelines SDK or the OpenShift AI user interface, an error would appear. This issue is now resolved.

RHOAIENG-6711 - ODH-model-controller overwrites the spec.memberSelectors field in ServiceMeshMemberRoll objects

Previously, if you tried to add a project or namespace to a ServiceMeshMemberRoll resource using the spec.memberSelectors field of the ServiceMeshMemberRoll resource, the ODH-model-controller would overwrite the field. This issue is now resolved.

RHOAIENG-6649 - An error is displayed when viewing a model on a model server that has no external route defined

Previously, if you tried to use the dashboard to deploy a model on a model server that did not have external routes enabled, a t.components is undefined error message would appear while the model creation was in progress. This issue is now resolved.

RHOAIENG-2312 - Importing numpy fails in code-server workbench

Previously, if you tried to import numpy, your code-server workbench would fail. This issue is now resolved.

RHOAIENG-1197 - Cannot create pipeline due to the End date picker in the pipeline run creation page defaulting to NaN values when using Firefox on Linux

Previously, if you tried to create a pipeline with a scheduled recurring run using Firefox on Linux, enabling the End Date parameter would result in Not a number (Nan) values for both the date and time. This issue is now resolved.

RHOAIENG-1196 (previously documented as ODH-DASHBOARD-2140) - Package versions displayed in dashboard do not match installed versions

Previously, the dashboard would display inaccurate version numbers for packages such as JupterLab and Notebook. This issue is now resolved.

RHOAIENG-880 - Default pipelines service account is unable to create Ray clusters

Previously, you could not create Ray clusters using the default pipelines Service Account. This issue is now resolved.

RHOAIENG-52 - Token authentication fails in clusters with self-signed certificates

Previously, if you used self-signed certificates, and you used the Python codeflare-sdk in a notebook or in a Python script as part of a pipeline, token authentication would fail. This issue is now resolved.

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