European AI alliance looks to take on Silicon Valley and develop home-grown LLMs
OpenEuroLLM has EU funding for open source AI models aimed at commercial, industrial, and public service applications
A new alliance with a budget of €37.4 million is working on a European alternative to OpenAI’s ChatGPT and DeepSeek’s R1.
OpenEuroLLM is a consortium of 20 leading European research institutions, companies, and EuroHPC centers hoping to develop a family of high-performance, multilingual, large language foundation models for commercial, industrial, and public service applications.
The aim is to create a home-grown rival to models from foreign tech firms, trained specifically on European data.
"The transparent and compliant open-source models will democratize access to high-quality AI technologies and strengthen the ability of European companies to compete on a global market and public organizations to produce impactful public services,” the consortium said.
"The OpenEuroLLM project is aligned with the imperative to improve Europe’s competitiveness and digital sovereignty."
The consortium will work with open source and open science communities such as LAION, open-sci and OpenML, along with additional experts in the field.
Models, software, data, and evaluation will be fully open, researchers said, and can be fine-tuned and instruction-tuned for specific industries or public sector bodies.
Sign up today and you will receive a free copy of our Future Focus 2026 report - the leading resource for IT decision-maker insight on priorities and investment areas in AI, security and more.
Additionally, the model will be trained in 35 languages.
The project will be co-led by computational linguist Jan Hajič of Czechia's Charles University and Peter Sarlin, co-founder of Finland's Silo AI - Europe's largest private AI lab, which was acquired last year by AMD for $665 million.
It also includes a dozen European universities, along with Germany's Aleph Alpha Research and ellamind, France's LightOn, and Spain's Prompsit Language Engineering.
Also participating are four EuropHPC centers: the Barcelona Supercomputing Center in Spain, Cineca Interuniversity Consortium in Italy, CSC - IT Center for Science in Finland, and the Netherlands' SURF.
"The OpenEuroLLM project stands as a testament to Europe’s ability to lead in AI innovation while adhering to principles of openness, trust, and fairness," said the Eindhoven University of Technology in a statement.
"By involving research institutions, industry leaders, and EuroHPC centers, the initiative ensures a broad and inclusive approach to AI development."
The European Commission has backed OpenEuroLLM to the tune of €37.4 million, with €20.6 million coming from the Digital Europe Programme.
The consortium is supported by the Strategic Technologies for Europe Platform (STEP), aimed at raising and steering funding to increase European investment into critical technology projects.
RELATED WHITEPAPER
"Europe has the talent and resources necessary to take a leading position in this global AI competition," said Laurent Daudet, co-CEO and co-founder of LightOn.
"To transform these efforts into a real strategic lever, Europe must not only capitalize on the AI Act, a true catalyst for innovation towards trustworthy AI, but also support a coordinated approach from its leaders. This is now possible thanks to the OpenEuroLLM consortium."
Emma Woollacott is a freelance journalist writing for publications including the BBC, Private Eye, Forbes, Raconteur and specialist technology titles.
-
Curing the cloud hangover: why organizations are rethinking public cloudDiscover why IT leaders are stepping away from a "one-size-fits-all" public cloud approach, embracing cost predictability, and using private cloud to secure enterprise AI data
-
Amazon targets agent safety gains with investment in team behind Lean programming languageNews The tech giant hopes support for the open source programming language could drive AI agent safety improvements
-
‘We are now seeing MAI models outperform general-purpose frontier models’: Microsoft CEO Satya Nadella touts in-house models to cut spiralling AI costs – and reduce growing reliance on frontier labsNews The Microsoft chief says pricey frontier models don't have to be used for every task, and its own in-house MAI models could be the key to reducing costs.
-
3 ways to get your data AI-readySponsored Data placement, preparation, and orchestration make or break an AI project – and the Dell AI Data Platform reduces the strain on enterprise IT teams across both storage and the data foundation
-
‘A company should be able to use a model without giving up the knowledge that makes it unique’: Microsoft CEO Satya Nadella says enterprises shouldn’t be sharing so much data with AI providersNews The Microsoft chief warned that corporate data could be at risk thanks to AI models
-
‘What we’re seeing right now is just rapid escalation in AI token spend’: Accenture tells staff to stop using AI for unnecessary tasks amid surging costsNews Accenture has told some staff to roll back the use of AI for basic tasks while the consultancy grapples with surging AI token costs.
-
‘The claims in the suit are false’: Workday hits back amid lawsuit claiming AI recruitment discriminationNews Is AI hiring discriminatory? A California judge has given the go-ahead for a class action suit against Workday
-
IT leaders are being stung by "unexpected" AI costsNews The growing costs associated with AI are hitting organizations large and small
-
'Botsitting' is destroying productivity as workers spend nearly a full day each week making AI 'usable'News While workers are reporting productivity improvements, ‘botsitting’ means these are often negated
-
'Most enterprises are still unprepared to operationalize it': IT leaders are bullish on agents, but keeping falling at the final hurdle – here's whyNews Forrester points to challenges scaling agentic AI, saying companies start rolling out the tech before they're ready to scale