NVIDIA Expands Support for AI in Science Across Europe
Many scientific advances begin with complex calculations. Turning accelerated computing into breakthroughs in climate modeling, molecule design, materials simulation and other fields, however, requires more than advanced technology.
For small laboratories, early-career researchers and science-based startups, some of the greatest challenges are practical: finding the right tools, gaining access to computing resources and developing the expertise needed to use them effectively.
At the AI in Science Summit in Dublin, the European Commission introduced the AI in Science Enablers Initiative, a shared framework associated with RAISE, the European AI Science Resource. The initiative provides private-sector support to the European research community.
NVIDIA is joining the campaign with support focused on:
- Access to accelerated tools, models and platforms
- Computing, cloud resources, data and scientific resources
- Skills, training and technical support
- Collaborative projects, pilot programs, researcher support and talent development
- Startup support and ecosystem development
“Europe’s ambitions for AI in science can only become a reality if we bring together the research community, industry and other partners,” said Ekaterina Zaharieva, European Commissioner for Start-ups, Research and Innovation. “Through our AI in Science Enablers campaign, we are turning this ambition into concrete efforts to help researchers access the tools, expertise and resources they need to innovate.”
Open AI Models, Datasets and Scientific Software
NVIDIA’s pledge begins with open-source technology. The company has released more than 250 open models, 250 open datasets and more than 1,400 open-source software projects spanning large language models, healthcare, robotics, climate science, physical AI, self-driving cars and scientific research.
The models and datasets are available through Hugging Face and GitHub, giving researchers a foundation for developing AI applications and agent-driven reasoning capabilities.
NVIDIA’s open ecosystem includes NVIDIA Nemotron, a collection of architectures, open weights, open-source models, training data and recipes. It also includes scientific software such as the NVIDIA BioNeMo Agent Toolkit, NVIDIA Physics NeMo, the NVIDIA Earth-2 model and NVIDIA ALCHEMI NIM Microservices.
These technologies are designed to accelerate research in biology, chemistry, molecular design, weather and climate, energy, engineering, physics and materials science.
Free AI and Accelerated Computing Training
Expanding AI capabilities across Europe requires knowledge and skills to be as accessible as computing resources.
The NVIDIA Deep Learning Institute has launched an open-source courseware hub featuring practical materials on accelerated computing and deep learning. The content is free to download, openly licensed and available without registration, fees or deadlines.
Its modular design allows the courseware to be adapted for university curricula, supercomputing-center bootcamps and developer community events. It also provides a pathway to NVIDIA’s broader Training and Certification Program.
Improving Access to European AI Computing
NVIDIA is collaborating with cloud infrastructure partners and European National AI Factories to create new pathways for startups and small and medium-sized enterprises to access sovereign European computing and services. Current efforts include initiatives in France, Spain and Sweden.
Through NVIDIA Inception, the company’s startup program, eligible companies can access computing resources and technical support. The program is intended to lower barriers for startups seeking high-performance infrastructure and technical education.
The French AI Factory, AI2F, was the first to collaborate with the Inception program for four months and reported strong results. In Spain, the BSC AI Factory has conducted pilot initiatives and is rolling out its first full-scale accelerator program. Other national AI Factories in Europe have shown interest in replicating the model in 2027.
The program also supports the broader goal of developing self-sustaining AI ventures in Spain and across Europe.
The Swedish AI Factory, one of Europe’s 19 AI Factories funded by EuroHPC, has announced a partnership with NVIDIA. The collaboration will open infrastructure and expertise to Inception startups and SMEs working across areas including life sciences, materials science, autonomous systems and gaming.
EuroHPC supercomputing centers including Cineca and JSC provide academia and startups with free access to NVIDIA GPU infrastructure and services for open research. NVIDIA complements this access with office hours, bootcamps and hackathons to help researchers fine-tune models using their own datasets.
NVIDIA is also co-hosting the European AI Hackathon this month with Austrian scientific computing, the Leibniz Supercomputing Centre, the High Performance Computing Center Stuttgart and the Cyprus Research Institute’s Pharos-CY initiative.
Europe’s AI Supercomputing Infrastructure Is Expanding
NVIDIA is supporting what it describes as its most ambitious AI infrastructure expansion in Europe to date. Thirty-five supercomputers are currently in development across the continent, representing Europe’s largest single-year increase in supercomputing capacity.
Combined, these systems are expected to enable more than 3 million researchers to use next-generation infrastructure for work ranging from climate science and drug development to materials research and other fields.
Explore NVIDIA technology for science, download open-source courseware and find practical training through the NVIDIA Deep Learning Institute.
Follow the European Commission’s RAISE Pledge Initiative.
Source: blogs.nvidia.com


