NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and Compute

Scientific breakthroughs in the modern era are inextricably linked to the power of computation. Whether the goal is to simulate complex climate systems, engineer novel molecules, or discover advanced materials, the path to discovery requires more than just raw ambition. For many researchers—particularly those in smaller laboratories, early-career scientists, and emerging science-based startups—the most significant hurdle is often the "pre-science" phase: the logistical challenge of assembling the right tools, securing high-performance compute, and cultivating the technical expertise necessary to deploy them effectively.

To address these systemic barriers, the European Commission officially launched the AI in Science Enablers Initiative today at the AI in Science Summit in Dublin. This framework, which integrates with the Resource for AI Science in Europe (RAISE), aims to bridge the gap between private-sector innovation and the continent’s academic research community. NVIDIA has stepped forward as a primary partner in this campaign, committing to a comprehensive support package designed to democratize access to high-end scientific infrastructure.

A Commitment to Open Innovation

NVIDIA’s contribution centers on the belief that scientific progress thrives on openness. To facilitate this, the company has made a significant pledge to the research community, providing:

• Accelerated Tooling: Access to advanced models, platforms, and specialized software.
• Infrastructure: Cloud resources, data access, and high-performance compute.
• Knowledge Transfer: Technical support, training, and educational resources.
• Ecosystem Growth: Collaborative pilots and dedicated 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. 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." — Ekaterina Zaharieva, European Commissioner for Startups, Research and Innovation.

Empowering Researchers with Open Models

At the heart of this initiative is a massive expansion of open-source technology. NVIDIA has made over 250 open models, 250 open datasets, and 1,400 open-source software projects available via Hugging Face and GitHub. These resources cover a vast spectrum of fields, including large language models, robotics, healthcare, autonomous vehicles, and climate science.

Researchers can now leverage tools like the NVIDIA Nemotron family for agentic reasoning, alongside specialized scientific software such as the BioNeMo Agent Toolkit, PhysicsNeMo libraries, Earth-2 models, and ALCHEMI NIM microservices. These assets provide a robust foundation for breakthroughs in biology, chemistry, energy, and material sciences.

Democratizing Skills and Training

Advanced intelligence is only as effective as the people wielding it. To ensure knowledge is as accessible as compute, the NVIDIA Deep Learning Institute has unveiled a new open-source courseware hub. These hands-on materials are freely downloadable, openly licensed, and require no enrollment fees or deadlines. Designed with a modular architecture, these courses can be seamlessly integrated into university curricula, supercomputing bootcamps, or developer workshops, serving as a vital bridge to professional certification.

Scaling Startups and Sovereign Compute

NVIDIA is also collaborating with cloud infrastructure providers and European national "AI factories"—notably in France, Spain, and Sweden—to provide startups and SMEs with direct routes to sovereign compute.

The NVIDIA Inception program plays a central role here, lowering the barrier to entry for high-performance infrastructure. The AI2F in France has already seen success through a four-month pilot, while the BSC AI Factory in Spain is launching a full-scale accelerator program. Furthermore, the Sweden AI Factory has opened its infrastructure to Inception startups, fostering innovation in life sciences and autonomous systems.

For academia, EuroHPC supercomputing centers like CINECA and JSC are providing free access to NVIDIA GPU infrastructure, supported by expert-led office hours and hackathons, such as the upcoming European AI hackathon focused on Pharos-CY.

The Future of European Infrastructure

Beyond these collaborative programs, NVIDIA is fueling the most significant expansion of AI infrastructure in European history. With 35 supercomputers currently under development across the continent, this represents the largest single-year surge in supercomputing capacity ever recorded in Europe.

These systems are poised to empower over 3 million researchers, providing the next-generation infrastructure required to tackle the most pressing challenges of our time—from drug discovery and climate modeling to the fundamental physics of materials. Through this multifaceted approach, NVIDIA and the European Commission are ensuring that the future of science is not just computationally possible, but accessible to all.