Chapter 7. Resolved issues


The following notable issues are resolved in Red Hat OpenShift AI 2.13.1. Security updates, bug fixes, and enhancements for Red Hat OpenShift AI 2.13 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 2.13

Incorrect logo on dashboard after upgrading

Previously, after upgrading from OpenShift AI 2.11 to OpenShift AI 2.12, the dashboard could incorrectly display the Open Data Hub logo instead of the Red Hat OpenShift AI logo. This issue is now resolved.

RHOAIENG-11297 - Authentication failure after pipeline run

Previously, during the execution of a pipeline run, a connection error could occur due to a certificate authentication failure. This certificate authentication failure could be caused by the use of a multi-line string separator for customCABundle in the default-dsci object, which was not supported by data science pipelines. This issue is now resolved.

RHOAIENG-11232 - Distributed workloads: Kueue alerts do not provide runbook link

After a Kueue alert fires, the cluster administrator can click Observe Alerting Alerts and click the name of the alert to open its Alert details page. On the Alert details page, the Runbook section now provides a link to the appropriate runbook to help to diagnose and resolve the issues that triggered the alert. Previously, the runbook link was missing.

RHOAIENG-10665 - Unable to query Speculating with a draft model for granite model

Previously, you could not use speculative decoding on the granite-7b model and granite-7b-accelerator draft model. When querying these models, the queries failed with an internal error. This issue is now resolved.

RHOAIENG-9481 - Pipeline runs menu glitches when clicking action menu

Previously, when you clicked the action menu (⋮) next to a pipeline run on the Experiments > Experiments and runs page, the menu that appeared was not fully visible, and you had to scroll to see all of the menu items. This issue is now resolved.

RHOAIENG-8553 - Workbench created with custom image shows !Deleted flag

Previously, if you disabled the internal image registry on your OpenShift cluster and then created a workbench with a custom image that was imported by using the image tag, for example: quay.io/my-wb-images/my-image:tag, a !Deleted flag was shown in the Notebook image column on the Workbenches tab of the Data Science Projects page. If you stopped the workbench, you could not restart it. This issue is now resolved.

RHOAIENG-6376 - Pipeline run creation fails after setting pip_index_urls in a pipeline component to a URL that contains a port number and path

Previously, when you created a pipeline and set the pip_index_urls value for a component to a URL that contains a port number and path, compiling the pipeline code and then creating a pipeline run could result in an error. This issue is now resolved.

RHOAIENG-4240 - Jobs fail to submit to Ray cluster in unsecured environment

Previously, when running distributed data science workloads from notebooks in an unsecured OpenShift cluster, a ConnectionError: Failed to connect to Ray error message might be shown. This issue is now resolved.

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