Project description
Building a trusted AI ecosystem in Europe
Quantum technology, data, and AI are crucial for advancing research and innovation. To reinforce Europe’s position in these fields, supportive policies must be implemented. Luxembourg is a leader in innovation and high-performance computing (HPC). The EU-funded L-AIF project is behind Luxembourg’s AI factory initiative in establishing a secure and trusted infrastructure for AI development, backed by an AI-optimised supercomputer throughout Europe. The project will provide end-to-end AI services, understand and overcome current key challenges affecting AI adopters, and restricting cross-border collaboration. It will also provide access to a secure supercomputing platform, tailored solutions, and support for novel start-ups and SMEs.
Objective
"Luxembourg, a key player in EuroHPC, is leading Europe in high-performance computing (HPC). Its AI Factory initiative aims to establish a secure, trusted infrastructure for AI development, supported by the AI-optimised supercomputer ""MeluXina-AI."" This supercomputer, with over 2100 GPU-AI accelerators, is designed to train and fine-tune AI models and integrate seamlessly with other AI Factories across Europe.
Luxembourg's strategy, as outlined in its coalition agreement ""Strengthening Luxembourg for the Future"" (12/2023), focuses on AI, data, and quantum technologies. The government is committed to fostering an agile, trustworthy AI ecosystem involving national and international cooperation.
The Luxembourg AI Factory (L-AIF) will provide end-to-end AI services, addressing key challenges for AI adopters and promoting cross-border collaboration. Its unique value proposition includes tailored solutions for start-ups and SMEs, a secure supercomputing platform, high-quality data sets, and comprehensive financial instruments. The L-AIF will focus on sectors like Finance, Space, Cybersecurity, and the Green Economy, leveraging local AI stakeholders and public research expertise.
The L-AIF initiative is supported by a consortium of five members: LuxProvide, Luxinnovation, LNDS, LIST, and the University of Luxembourg. These entities will implement and operate the AI infrastructure, engage with private-sector companies, facilitate data access, conduct AI research, and support skill development. Their combined efforts will drive Luxembourg's digital transformation and contribute to Europe's competitive AI landscape
"
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences biological sciences ecology ecosystems
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering computer hardware supercomputers
- natural sciences computer and information sciences computer security
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
-
HORIZON.2.4 - Digital, Industry and Space
MAIN PROGRAMME
See all projects funded under this programme -
HORIZON.2.4.7 - Advanced Computing and Big Data
See all projects funded under this programme -
HORIZON.2.4.5 - Artificial Intelligence and Robotics
See all projects funded under this programme
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-JU-RIA - HORIZON JU Research and Innovation Actions
See all projects funded under this funding scheme
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-JU-EUROHPC-2025-AI-01-IBA
See all projects funded under this callCoordinator
Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7795 Bissen
Luxembourg
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.