What is new?

Changes included in the Open Data Hub v1.6.0 release:

• ODH Dashboard v2.9
• Jupyter Notebooks v1.4.0
• Data Science Pipelines Operator v0.2.0
• Model Mesh
• TrustyAI Explainability
• Incubation of Distributed Workloads stack
  • CodeFlare SDK to define and control remote distributed compute jobs and infrastructure with any Python based environment
  • Multi-Cluster Application Dispatcher (MCAD) for management of batch jobs
  • Instascale for on-demand scaling of a Kubernetes cluster
  • KubeRay for management of remote Ray clusters on Kubernetes for running distributed compute workloads

Notable Changes

• The stable channel for the ODH Operator installation from OperatorHub has been officially removed as a supported OLM channel and upgrades will only continue on the the rolling channel. If you currently have the operator installed on the the stable channel, you will need to change the update channel for the ODH Operator to rolling to ensure that you can upgrade automatically to all releases after ODH v1.6.0
• The data-science-pipelines manifest has been removed as we move the management of the Data Science Pipelines deployments to the Data Science Pipelines operator

The following is a list of components that are available in v1.6.0 release of odh-manifests:

Technology	Version	Category
Open Data Hub Dashboard	v2.9
Open Data Hub Notebook Images	v1.4.0
Model Mesh Serving	v0.11.0
Data Science Pipelines Operator	v0.2.0
TrustyAI Explainability	v0.1.0