Use NVIDIA's 1400 open projects and free AI training to accelerate European scientific research

NVIDIA has announced a new set of resources to help European scientists and startups use artificial intelligence for research. The company is providing free access to open models, datasets and training materials. This move aims to lower the barriers for smaller labs and early-career researchers who often struggle to find the necessary tools and computing power for their work.

In plain English

The core issue is that doing advanced science requires more than just good ideas. It needs powerful computers and specific software to run simulations or analyze data. For many researchers, especially those in small teams or new companies, getting access to this expensive infrastructure is difficult. NVIDIA is trying to solve this by giving away the digital tools and knowledge needed to use their technology effectively.

The background

At the AI in Science Summit in Dublin, the European Commission launched the AI in Science Enablers Initiative. This framework connects private-sector support with Europe’s research community. Ekaterina Zaharieva, the European Commissioner for Startups, Research and Innovation, stated that turning ambition into reality requires bringing together research communities, industry and partners. She noted that the campaign provides concrete commitments for accessing necessary tools and expertise.

What changes now

NVIDIA has released more than 250 open models and 250 open datasets. These resources are available on Hugging Face and GitHub. Researchers can now use NVIDIA Nemotron architectures and scientific software like BioNeMo and Earth-2 models. The company also launched a Deep Learning Institute courseware hub with free, downloadable materials. There are no fees, enrollment requirements or deadlines for these courses.

NVIDIA is working with cloud partners and national AI factories in France, Spain and Sweden. This collaboration helps startups access sovereign European compute resources. The NVIDIA Inception program provides technical support and infrastructure access to these businesses. AI2F in France has already collaborated with the program for four months. The BSC AI Factory is rolling out its first full accelerator program after a successful pilot.

Key terms explained

Accelerated computing refers to using specialized hardware, like graphics processors, to handle complex calculations faster than standard CPUs. Open models are pre-trained AI systems whose internal weights and code are publicly available, allowing researchers to modify and build upon them. Sovereign compute means using data centers and processing power located within a specific country or region, ensuring data remains under local legal jurisdiction and control.

What to do and how to stay safe: NVIDIA

• Check if your organization qualifies for startup or research support programs like NVIDIA Inception.
• Review the open courseware hub to identify training modules that match your team's skill gaps.
• Explore the available open models on Hugging Face to see if they fit your current research needs.
• Monitor announcements from national AI factories in your region for new access opportunities.

General security guidance from the Vector Update newsroom. It is not confirmed advice from the organisations named in this story.

Frequently asked questions

What specific tools is NVIDIA releasing for scientific research?

NVIDIA released over 250 open models, 250 datasets and 1,400 open source software projects including Nemotron and BioNeMo.

Is the training provided by NVIDIA free to access?

Yes, the Deep Learning Institute courseware is freely downloadable and openly licensed with no fees or enrollment deadlines.

Which countries are currently partnering with NVIDIA on this initiative?

NVIDIA is collaborating with national AI factories in France, Spain and Sweden to support startups and SMEs.