Chapter 3. Technology Preview features
This section describes Technology Preview features in Red Hat OpenShift AI 2.8. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.
For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.
- Distributed workloads
Distributed workloads enable data scientists to use multiple cluster nodes in parallel for faster, more efficient data processing and model training. The CodeFlare framework simplifies task orchestration and monitoring, and offers seamless integration for automated resource scaling and optimal node utilization with advanced GPU support.
Designed for data scientists, the CodeFlare framework enables direct workload configuration from Jupyter Notebooks or Python code, ensuring a low barrier of adoption, and streamlined, uninterrupted workflows. Distributed workloads significantly reduce task completion time, and enable the use of larger datasets and more complex models. The distributed workloads feature is currently available in Red Hat OpenShift AI 2.8 as a Technology Preview feature. This feature was first introduced in OpenShift AI 2.4.
- code-server notebook image
Red Hat OpenShift AI now includes the
code-servernotebook image. See code-server in GitHub for more information.With the
code-serverworkbench image, you can customize your workbench environment by using a variety of extensions to add new languages, themes, debuggers, and connect to additional services. You can also enhance the efficiency of your data science work with syntax highlighting, auto-indentation, and bracket matching.
Elyra-based pipelines are not available with the code-server notebook image.
The code-server notebook image is currently available in Red Hat OpenShift AI 2.8 as a Technology Preview feature. This feature was first introduced in OpenShift AI 2.6.
