Chapter 5. Limited Availability features
This section describes Limited Availability features in Red Hat OpenShift AI 2.11. Limited Availability means that you can install and receive support for the feature only with specific approval from Red Hat. Without such approval, the feature is unsupported. This applies to all features described in this section.
- Model-serving on single node OpenShift
This feature extends support for the model-serving capabilities of OpenShift AI on single node OpenShift.
You can now deploy a machine learning model by using the KServe component of OpenShift AI in
RawDeploymentmode, which means that KServe does not have any other components as dependencies.For more information, see Deploy a machine learning model by using KServe RawDeployment mode on RHOAI with single node OpenShift.
- Tuning in OpenShift AI
- Tuning in OpenShift AI is available as a Limited Availability feature. The Kubeflow Training Operator and the Hugging Face Supervised Fine-tuning Trainer (SFT Trainer) enable users to fine-tune and train their models easily in a distributed environment. In this release, you can use this feature for models that are based on the PyTorch machine-learning framework.
