RI-SCALE

Part of EU Open Research Repository
Published August 29, 2025 | Version V1_Under EC Review
Project deliverable Open

RI-SCALE_D3.1 – AI Systems and Models Specification and Roadmap

Creators

  • 1. ROR icon Forschungszentrum Jülich
  • 2. INFN Sezione di Perugia
  • 3. ROR icon KTH Royal Institute of Technology
  • 4. ROR icon University of Trento
  • 5. ROR icon CMCC Foundation - Euro-Mediterranean Center on Climate Change
  • 6. Hypermeteo
  • 7. ROR icon European Bioinformatics Institute
  • 8. ROR icon European Molecular Biology Laboratory
  • 9. ROR icon Medical University of Graz
  • 10. EISCAT Scientific Association
  • 11. ROR icon European Incoherent Scatter Scientific Association
  • 12. Neuraspace
  • 13. ROR icon Scientific and Technological Research Council of Turkey
  • 14. ROR icon University of Helsinki
  • 15. ROR icon EGI Foundation

Description

The Data Exploitation Platform (DEP) enables Research Infrastructures (RIs) to scale their AI applications across large-scale computing infrastructure, such as on cloud and High Performance Computing (HPC) systems, and enables scientists to train and/or run AI models at scale with RI scientific data. Work Package (WP) 3 plays a central role in enabling these capabilities by providing the technical solutions needed to integrate AI functionalities in the DEP. 

This deliverable outlines the technical specifications of the AI solutions proposed in WP3 for the DEP, detailing their main features, planned developments and integrations. The document also presents user stories that illustrate scenarios of accessing the DEP for different kinds of users. These stories highlight the DEP access mechanisms and the role of the software solutions in the DEP. The AI applications and their compute and data requirements are also defined in this document. These requirements and the user stories guide the modular architecture of WP3, which enables flexible and customizable definition of workflows for DEP users. Finally, the document proposes the creation of testbeds, which form the methodological basis for realizing the technical implementations in the DEP.

Files

RI-SCALE_D3.1_V1_Public_Under EC Review.pdf

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Additional details

Funding

European Commission
RI-SCALE - Unlocking RI potential with Scalable AI and Data 101188168