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Chapter 2. New features and enhancements

This section describes new features and enhancements in Red Hat OpenShift AI 2.18.

2.1. New features

Support for OpenShift AI Self-Managed on Oracle Cloud Infrastructure (OCI)

OpenShift AI Self-Managed is now supported on Red Hat OpenShift Container Platform on Oracle Cloud Infrastructure (OCI). For more information about OpenShift AI supported software platforms, see the Red Hat OpenShift AI: Supported Configurations Knowledgebase article.

For more information about OpenShift Container Platform on OCI, see Installing on OCI.

2.2. Enhancements

Additional training images tested and verified for distributed workloads

The following additional training images are tested and verified:

  • ROCm-compatible KFTO cluster image: A new ROCm-compatible KFTO cluster image, quay.io/modh/training:py311-rocm62-torch241, is tested and verified. This image is compatible with AMD accelerators that are supported by ROCm 6.2.

  • ROCm-compatible Ray cluster image: A new ROCm-compatible Ray cluster image, quay.io/modh/ray:2.35.0-py311-rocm62, is tested and verified. This image is compatible with AMD accelerators that are supported by ROCm 6.2.

    For more information about the available training images in Red Hat OpenShift AI, see the Red Hat OpenShift AI: Supported Configurations Knowledgebase article.

Updated Kueue version

In OpenShift AI 2.18, the version of Kueue has been updated to 0.10.1.

Note

The minimum version of OpenShift AI that is compatible with Kueue 0.10.1 is OpenShift Container Platform 4.15. If you deploy OpenShift AI 2.18 on OpenShift Container Platform 4.14 or earlier, you must disable the API Priority and Fairness configuration for the Visibility API, as described in the Enabling/Disabling API Priority and Fairness section in the Kueue Cluster Administration guide. This modification is required because the PriorityLevelConfiguration API is incompatible with older OpenShift Container Platform versions.

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