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 Massive 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 knowledge, it addresses a long-standing hole in linguistic illustration, particularly for low-resource and minority languages.
André Martins, Chief Scientific Officer at Unbabel and EuroLLM venture co-lead stated:
“By becoming a member of forces by means of EuroLLM and OpenEuroLLM, we’re bringing collectively the analysis power and open-source ethos wanted to sort out one in all Europe’s greatest AI challenges: linguistic inclusion at scale. This venture is about guaranteeing Europe owns its language knowledge, displays its cultural variety, and units its personal requirements in accountable AI improvement.”
The GPU allocation will energy the MultiSynt strategy, a key element of the venture which seeks to deal with one of the vital persistent bottlenecks in multilingual LLM improvement: the dearth of high-quality pre-training knowledge.
“This is a vital step in securing massive 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 crew from the EuroLLM venture. The aim of this subproject is to discover multilingual artificial knowledge creation and consider their use as a way to attain the next frequent aim: constructing high-quality multilingual LLMs for all European languages and past.” – notes Jan Hajic, Charles College, coordinator of the OpenEuroLLM venture.
Whereas most artificial knowledge technology for big language fashions so far has centered on English, MultiSynt will create the primary complete multilingual artificial dataset designed particularly for pre-training. By leveraging generative fashions to reinforce and diversify present content material, it can help the broader goals of EuroLLM and OpenEuroLLM: constructing open-source, culturally grounded, and linguistically numerous AI for Europe.
This system will help linguistic variety, open entry, and knowledge high quality and aligns with the broader targets of the European Fee’s Digital Decade and the AI Act.
The awarded 3 million hours replicate a robust endorsement of the venture’s technical advantage and strategic worth.
The initiative might be executed by means of phased releases of the artificial dataset.
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About EuroLLM
The EuroLLM venture 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 reinforce Europe’s digital sovereignty and foster AI innovation.
About OpenEuroLLM
Bringing collectively 20 of Europe’s main AI corporations, analysis establishments and EuroHPC centres, the OpenEuroLLM venture 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 venture is laying the foundations for AI infrastructure that may 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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