Key Points
- Nvidia will build its first AI cloud platform for industry in Germany, supporting companies such as BMW and Mercedes-Benz.
- The company plans to construct 20 AI factories and increase Europe’s AI capacity 10x in two years.
- Technology center expansions, AI compute marketplaces, and support for European-language AI models are also planned.
- Nvidia is partnering with Mistral to deliver high-performance AI computing with 18,000 Nvidia chips.
Nvidia CEO Jensen Huang announced on Wednesday that the company will launch its first artificial intelligence (AI) cloud platform tailored for industrial applications in Germany. Speaking at the VivaTech conference in Paris, Huang announced that the platform will integrate AI with robotics, supporting automotive giants such as BMW and Mercedes-Benz in areas ranging from product design simulations to logistics management.
As part of a broader push into Europe, Huang revealed that Nvidia will expand its technology centers in seven countries, support multilingual AI model development, and open up its AI compute marketplace to European businesses. The company also plans to assist pharmaceutical leaders such as Novo Nordisk in accelerating drug discovery with advanced AI tools.
In a bold commitment to the region, Huang declared that Nvidia will increase Europe’s AI computing capacity tenfold within two years. Central to this expansion are plans to build 20 AI factories across Europe—massive infrastructures designed to train and deploy cutting-edge AI models.
Huang emphasized the urgency for Europe to catch up with the U.S. and China in AI infrastructure. His remarks echoed the European Commission’s March announcement of a $20 billion investment into four AI factories. Huang’s vision extends beyond AI to national digital sovereignty, arguing, “Sovereign AI is an imperative – no company, industry, or nation can outsource its intelligence.”
Nvidia also announced a partnership with Mistral, a leading European AI company, to utilize the computing power of 18,000 next-gen Nvidia chips for regional enterprises.
In addition, Huang reiterated Nvidia’s growing interest in quantum computing, noting that the technology has reached an inflection point. He predicted that quantum computers will soon solve problems that are beyond the reach of even Nvidia’s most powerful AI systems, walking back his earlier skepticism about the field’s short-term usefulness.
