Second call for innovation studies for the development of generative AI models
EuroHPC Joint Undertaking / FFplus Project
Award
EUR 0โ300K
Closing date
Closed
Location
Global
For
Orgs, Consortium
About this opportunity
The FFplus project, funded by the EuroHPC Joint Undertaking, aims to strengthen the competitiveness and innovation capacity of European SMEs by enabling them to use high-performance computing (HPC) to advance digital R&D and business processes. This second open call targets SMEs and start-ups skilled in AI and HPC, supporting them in developing large-scale generative AI models to boost technological growth, innovation, and scalability across Europe. Through this call, FFplus will fund innovation studies including projects on generative AI such as large language models (LLMs). The proposed innovation studies are expected to demonstrate full alignment with FFplus objectives, define a clear success vision showing the business impact of HPC use, and provide comprehensive descriptions of training datasets, model characteristics, and expected performance. Applicants must identify and propose mitigation strategies for risks such as bias, hallucination, or model drift, in line with EU trustworthy AI guidelines.
10 - 11 mo
Who can apply
Applicant Types
organization, consortium
Organization Types
for profit
Project Locations
๐ฆ๐น Austria
๐ง๐ช Belgium
๐ง๐ฌ Bulgaria
๐จ๐พ Cyprus
๐ท๐ด Romania
๐ธ๐ฎ Slovenia
๐ญ๐ท Croatia
๐จ๐ฟ Czech Republic
๐ฉ๐ฐ Denmark
๐ช๐ช Estonia
๐ซ๐ฎ Finland
๐ซ๐ท France
๐ฉ๐ช Germany
๐ฌ๐ท Greece
๐ญ๐บ Hungary
๐ฎ๐น Italy
๐ฎ๐ช Ireland
๐ฒ๐น Malta
๐ฑ๐ป Latvia
๐ฑ๐น Lithuania
๐ฑ๐บ Luxembourg
๐ณ๐ฑ Netherlands
๐ต๐น Portugal
๐ต๐ฑ Poland
๐ธ๐ช Sweden
๐ช๐ธ Spain
๐ธ๐ฐ Slovakia
Region
European Union
How to apply
Stages
- 1 single_stage
Required documents
research_proposal ยท budget
Review process
Applications reviewed for alignment with FFplus objectives, business impact, technical feasibility, and compliance with EU trustworthy AI guidelines.
Restrictions
- reporting_requirements
Post-award obligations
- final_report
- share_data
- acknowledge_funder