Duration: 27:44

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Presented by Martin Welss (Fraunhofer-Gesellschaft) at EclipseCon 2022.

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