LISBON, Might 28, 2025 | Multilingual open-source initiatives EuroLLM and OpenEuroLLM have joined forces to safe 3 million GPU hours on Leonardo – one in every of Europe’s strongest supercomputers – to develop a groundbreaking artificial dataset overlaying 40 European languages.
The initiative was chosen beneath the EuroHPC AI Manufacturing unit 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 growth. 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 challenge co-lead stated:
“By becoming a member of forces by EuroLLM and OpenEuroLLM, we’re bringing collectively the analysis power and open-source ethos wanted to deal with one in every of Europe’s largest AI challenges: linguistic inclusion at scale. This challenge is about guaranteeing Europe owns its language information, displays its cultural range, and units its personal requirements in accountable AI growth.”
The GPU allocation will energy the MultiSynt strategya key element of the challenge which seeks to deal with one of the persistent bottlenecks in multilingual LLM growth: the dearth of high-quality pre-training information.
“This is a crucial step in securing massive sufficient computing energy to construct the OpenEuroLLM’s household of open LLMs. I’m additionally glad that this has been completed in collaboration with the skilled staff from the EuroLLM challenge. The objective of this subproject is to discover multilingual artificial information creation and consider their use so as to attain the next widespread objective: constructing high-quality multilingual LLMs for all European languages and past.” – notes Jan Hajic, Charles Collegecoordinator of the OpenEuroLLM challenge.
Whereas most artificial information technology for big language fashions thus far 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 current content material, it should help the broader goals of EuroLLM and OpenEuroLLM: constructing open-source, culturally grounded, and linguistically numerous AI for Europe.
This system will help linguistic range, open entryand information high quality and aligns with the broader targets of the European Fee’s Digital Decade and the AI Act.
The awarded 3 million hours mirror a robust endorsement of the challenge’s technical advantage and strategic worth.
The initiative will likely be executed by phased releases of the artificial dataset.
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About EuroLLM
The EuroLLM challenge 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 help 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 challenge is creating a brand new technology of open supply massive language fashions for European languages. Co-funded by the European Union’s Digital Europe Programme, the challenge 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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