Europe Builds the AI Engine It Could Never Get from Nvidia 

EU’s €30 billion investment in gigafactory Europe project to compete with US and China, offering 4X more power but consumes nuclear plant level energy.

The European Union (EU) is constructing 16 high power AI data centers to boost the Union’s computing muscle, with €30 billion in funding to close the innovation gap with the US and China, while tackling energy and sovereignty with any mega gigafactory Europe. 

The first facility, launching in Munich this September, will offer startups and researchers four times more resilient computing power than existing data centers. The new gigafactory Europe project will tackle the continent’s critical shortage of AI infrastructure.  

But with each gigafactory consuming up to 1GW of electricity – equivalent to a nuclear reactor’s output – the EU must simultaneously solve energy grid bottlenecks to sustain its AI ambitions. 

The AI factories will allow researchers, government, and industry to access the equipment to build and expand AI across sectors. 

AI Gigafactory 

These AI gigafactories would be capable of anything, from processing data to sophisticated model training. Discussed at a Paris tech conference, Nvidia CEO Jensen Huang referred to them as part of a new “industrial revolution” and stated that his firm is collaborating with a number of European countries to construct them. 

The EU has pledged $11 billion (€10 billion) towards the development of 13 AI factories and an additional $23.6 billion (€20 billion) towards larger projects. The EU gigafactories will be four times more resilient than existing computing centers, Henna Virkkunen, executive vice president for tech sovereignty at the European Commission claimed. 

“We have, for example, 30% more researchers per capita than the US has, focused on AI, Also we have around 7,000 startups [that] are developing AI, but the main obstacle for them is that they have very limited computing capacity,” Virkkunen told CNBC.  

These sovereign AI data centers will be core facilities, especially for smaller startups that don’t have their own compute clusters. 

The Burden and Scale of AI Infrastructure 

76 bids across 16 member states have been made for potential factory sites by the EU. But every gigafactory investment is an expensive one, each of the plants could cost between $3.52 billion and $5.87 billion, and much of the money in the future will need to be provided by private investors. 

For the time being, the first EU gigafactory will go live in the near future, like a massive one in Munich in September. They will give some actual computing power to the network of EU data centers, which has been falling behind when it comes to size and scale vis-a-vis the US and China. 

Other than technology, the project also contains geopolitical aims. The factories are perceived as a step towards acquiring EU chip sovereignty, reducing reliance on non-European supply sources

But there is one massive issue: power.  

Running these data centers will require monster levels of electricity. Experts estimate that a single AI factory would use up to one gigawatt of electricity, putting more on the line for gigafactory energy production and sustainability planning. 

With each new factory built, energy and grid challenges for AI data centers are becoming the central problem. Most EU countries will have to install infrastructural developments just to keep pace with energy demands. 

The initiative is not more technology innovation it is the Europe AI gigafactory investment strategy for competing in the international AI leadership race. 

With billions adopting it and speed building, the project also showcases the EU vision for AI computing, which is robust, homegrown, and tied to a clean digital future. The gigafactory Europe initiative may be in its earliest stages, but it’s a clear sign that the region is poised to build not just ideas but the infrastructure to drive them. 


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