LISBON, Could 28, 2025 | Multilingual open-source initiatives EuroLLM and OpenEuroLLM have joined forces to safe 3 million GPU hours on Leonardo – one in all Europe’s strongest supercomputers – to develop a groundbreaking artificial dataset protecting 40 European languages.
The initiative was chosen underneath the EuroHPC AI Manufacturing facility Giant Scale name recognizing its potential to advance Europe’s management in multilingual synthetic intelligence.
On the coronary heart of this initiative is a mission to construct strategic autonomy for Europe in AI improvement. By producing high-quality, ethically sourced artificial informationit addresses a long-standing hole in linguistic illustration, particularly for low-resource and minority languages.
André Martins, Chief Scientific Officer at Unbabel and EuroLLM mission co-lead mentioned:
“By becoming a member of forces by EuroLLM and OpenEuroLLM, we’re bringing collectively the analysis energy and open-source ethos wanted to sort out one in all Europe’s largest AI challenges: linguistic inclusion at scale. This mission is about making certain Europe owns its language information, displays its cultural range, and units its personal requirements in accountable AI improvement.”
The GPU allocation will energy the MultiSynt strategya key element of the mission which seeks to deal with some of the persistent bottlenecks in multilingual LLM improvement: the dearth of high-quality pre-training information.
“This is a crucial step in securing giant sufficient computing energy to construct the OpenEuroLLM’s household of open LLMs. I’m additionally glad that this has been achieved in collaboration with the skilled group from the EuroLLM mission. The aim of this subproject is to discover multilingual artificial information creation and consider their use in an effort to attain a better widespread aim: constructing high-quality multilingual LLMs for all European languages and past.” – notes Jan Hajic, Charles Collegecoordinator of the OpenEuroLLM mission.
Whereas most artificial information era for giant language fashions to this point has centered on English, MultiSynt will create the primary complete multilingual artificial dataset designed particularly for pre-training. By leveraging generative fashions to boost and diversify present content material, it would assist the broader goals of EuroLLM and OpenEuroLLM: constructing open-source, culturally grounded, and linguistically numerous AI for Europe.
This system will assist linguistic range, open entryand information high quality and aligns with the broader goals of the European Fee’s Digital Decade and the AI Act.
The awarded 3 million hours mirror a powerful endorsement of the mission’s technical advantage and strategic worth.
The initiative can be executed by phased releases of the artificial dataset.
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About EuroLLM
The EuroLLM mission consists of Unbabel, Instituto Superior Técnico, the College of Edinburgh, Instituto de Telecomunicações, Université Paris-Saclay, Aveni, Sorbonne College, Naver Labs, and the College of Amsterdam. Collectively they created EuroLLM-9B, a multilingual AI mannequin supporting all 24 official EU languages. Developed with assist from Horizon Europe, the European Analysis Council, and EuroHPC, this open-source LLM goals to boost Europe’s digital sovereignty and foster AI innovation.
About OpenEuroLLM
Bringing collectively 20 of Europe’s main AI firms, analysis establishments and EuroHPC centres, the OpenEuroLLM mission is creating a brand new era of open supply giant language fashions for European languages. Co-funded by the European Union’s Digital Europe Programme, the mission is laying the foundations for AI infrastructure that can improve competitiveness, resilience, and digital sovereignty.
About EuroHPC
The European Excessive Efficiency Computing Joint Endeavor (EuroHPC JU) is a joint initiative between the EU, European international locations, and personal companions to develop a world-class supercomputing ecosystem in Europe.
Media Contacts:
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