Nvidia CEO Jensen Huang announced $2 billion in new investments across Europe during a tour that includes Paris, London and Berlin. The company is also donating $250 million in computing resources over five years to UK research labs working on AI safety and security.
European investment and startup stakes
The $2 billion in investments is due the following week, according to Bloomberg. Nvidia spent about $8 billion in Europe last year, giving the new commitment a wider context: the company is continuing to expand its presence across the region.
In Paris, Huang disclosed new stakes in French startups Doctolib, Genesis AI, Pigment and Entalpic. The announcement links the European investment to both established technology development and a growing group of local companies.
Huang also promoted open-weight models as a way for Europe to close its AI gap. The idea, as presented in the source, is that access to models whose weights are available could help European organizations build and advance AI capabilities. He also repeated his pushback against calls to slow things down.
Computing resources for UK labs
A separate part of Nvidia's European activity is a five-year donation of $250 million in compute for UK research. The support is directed to BOLD at Oxford, SOFAIR at UCL and Imperial College London.
The labs are working on AI agent safety and security, among other things. Their research includes open-ended learning, open-source AI architectures and robotics safety. The funding is described as compute rather than a general investment, making access to computing resources the central form of support.
That distinction matters for research teams: the announced contribution is aimed at enabling technical work, while the European investment announcement includes stakes in startups. Together, the two commitments span commercial AI development and research into ways to make AI systems safer and more secure.
Research priorities and the AI safety debate
The named research areas cover different parts of the challenge. Open-ended learning concerns systems that can learn beyond a narrowly specified task; open-source AI architectures make the design of systems available for others to examine and build on; and robotics safety focuses on the risks of AI in physical applications.
The support for work on AI agent safety and security also arrives alongside Huang's stated opposition to calls to slow AI development. The source reports both positions, without describing them as a change in Nvidia's approach. They reflect two parallel themes in the tour: expanding AI activity and supporting research into safety.
UK AI Minister Kanishka Narayan called the donation a “vote of confidence in our world-leading strength and expertise in AI research.” The source connects that comment to the well-regarded output of the UK's government-backed AI Security Institute, while the named recipients are BOLD, SOFAIR and Imperial College London.
What the announcements signal
The commitments outline several ways Nvidia is engaging with European AI. The $2 billion investment is directed across Europe, with disclosed stakes in four French startups; the compute donation supports specific UK research teams over five years.
For Europe, the announcements combine company investment with support for research capacity. Huang's emphasis on open-weight models frames one proposed route for closing the region's AI gap, while the UK donation backs work on agents, learning, architectures and robotics safety. The tour's stops in Paris, London and Berlin place those efforts within a broader European push.