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NVIDIA Expands Compute and Training Access for European Scientists
NVIDIA is joining the European Commission’s AI in Science Enablers Initiative with open course materials, scientific software and new routes to compute. Its commitments include collaborations with European AI factories and support for resea
AI.info Team · Written with AI ·
At the AI in Science Summit in Dublin on October 15, NVIDIA joined a European Commission initiative with a pledge covering open technology, training, technical support and routes to computing resources for researchers and science-based startups. The package adds private-sector support to the Commission’s AI in Science Enablers Initiative, which is connected to RAISE, the Resource for AI Science in Europe.
NVIDIA’s announcement sets out a collection of programs and partnerships, not a single new grant or a fixed pool of GPU hours. It targets a familiar obstacle for research teams: obtaining both computing capacity and the expertise to put it to work. The company does not give a total financial value for its European pledge or specify a common allocation process for all the resources it lists.
Open models, software and course materials
NVIDIA says its existing open-source ecosystem includes more than 250 models, 250 datasets and over 1,400 software projects, spanning areas such as healthcare, climate science, robotics and scientific research. Researchers can access those materials through Hugging Face and GitHub. The company also points to tools including Nemotron, BioNeMo Agent Toolkit, PhysicsNeMo, Earth-2 models and ALCHEMI NIM microservices for work across fields from biology and chemistry to weather and materials science.
For training, NVIDIA’s Deep Learning Institute has launched an open courseware hub with materials on accelerated computing and deep learning. The company says the courses are freely downloadable, openly licensed and available without enrollment, fees or a deadline. Universities, supercomputing centers and developer groups can adapt the modules for curricula, bootcamps and community events.
AI factories become an access route
NVIDIA says it is working with cloud infrastructure partners and national AI factories in France, Spain and Sweden to widen access to European compute and services, particularly for startups and small and medium-sized businesses. Its Inception program offers startups computing resources and technical support. In France, AI2F has worked with Inception for four months; in Spain, the BSC AI Factory is moving from a pilot to its first full accelerator program.
Sweden AI Factory has also announced a collaboration to make infrastructure and expertise available to Inception startups and small businesses, including those working in life sciences, materials science, autonomous systems and gaming. For academic researchers and startups pursuing open research, NVIDIA says EuroHPC centers such as CINECA and JSC provide free access to GPU infrastructure and services. The company says it will supplement that access with office hours, bootcamps and hackathons.
Europe’s existing RAISE effort
The European Commission describes RAISE as a virtual research institute intended to pool computing power, data, talent and funding for European researchers. NVIDIA’s pledge is one company’s contribution to that wider effort, rather than a replacement for the Commission’s own program. The Commission’s RAISE page outlines dedicated Horizon Europe funding for the pilot, while NVIDIA’s post focuses on tools, training, infrastructure partnerships and support for startups.
“Europe’s ambition in AI in science can only become reality if we bring together the strengths of our research community, industry and other partners,” said Ekaterina Zaharieva, European Commissioner for Startups, Research and Innovation. “Through the AI in Science Enablers campaign, we are turning this ambition into concrete commitments that give researchers access to the tools, expertise and resources they need to innovate.”
Thirty-five supercomputers in development
NVIDIA places the pledge alongside a larger buildout: the company says 35 supercomputers are in development across Europe, and that the systems will provide next-generation infrastructure for more than 3 million researchers. Those figures describe systems still being developed and the reach NVIDIA expects from them; they do not mean all that capacity is already available to research teams.
The announcement offers several practical entry points, from downloadable training materials to startup accelerators and access at supercomputing centers. But it leaves researchers without a single published figure for how much compute the pledge provides, or a uniform set of eligibility rules covering every program. Teams will need to approach the relevant center, cloud partner or accelerator to establish what access is available to them.