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Other literature type . 2025
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Project deliverable . 2025
License: CC BY
Data sources: Datacite
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Project deliverable . 2025
License: CC BY
Data sources: Datacite
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RI-SCALE_D3.1 – AI Systems and Models Specification and Roadmap

Authors: Sarma, Rakesh; Krochak, Alex; Spiga, Daniele; Ouyang, Wei; Fiore, Sandro Luigi; Sharleen Islam, Saima; Antonio, Fabrizio; +12 Authors

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

Abstract

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.

Keywords

Model Hub, AI Computing Platform, Data Exploitation Platform, Job Offloading, Provenance, AI in Life Sciences, AI in Environmental Sciences

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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EGI : advanced computing for research