Eclipse Graphene is a design and distribution framework for creating AI-based workflows and solutions from modular components. It provides a launchpad for training and validating both individual components and integrated, or composite, solutions, and then securely distributing the results to targeted communities through an electronic catalogue, from which components can be selected. Graphene also provides the deployment interfaces that allow solutions to be trained or executed in kubernetes-based runtime environments.
- History of the project and it's origins from AI4EU
- The case for modular AI Components
- The container specification
- Composing AI pipelines in the visual editor
- Access to data
- How Graphene handles binaries and intellectual property
- The separation of catalog and execution
- Deployment of a Pipeline to the AI Playground
Objective of the presentation:
Present to the community the goals and features of the new Eclipse Graphene project.
Attendee pre-requisites - If none, enter "N/A":
N/A