Nvidia Eyes Converting Old Nuclear Plants Into AI Centers
Nvidia has entered a preliminary partnership with German energy firm PreussenElektra to study the feasibility of transforming decommissioned nuclear power plant sites into massive artificial intelligence data centers.
Radwan AbdulhadiEditor and technology writer
Exploring Decommissioned Energy Sites
Nvidia is collaborating with German energy firm PreussenElektra GmbH (PEL) to explore converting old nuclear power plants into AI data centers. According to details covered by [Tom's Hardware](https://www.tomshardware.com/tech-industry/data-centers/nvidia-eyes-converting-old-nuclear-plants-into-massive-ai-data-centers-reusing-shut-down-german-energy-sites-could-reduce-the-cost-and-timeline-of-building-from-scratch), the two companies entered a preliminary partnership on October 21st to assess whether decommissioned nuclear plant locations in Germany can be transformed into high-performance AI facilities.
The open-ended exploration will evaluate existing energy grid links, available land, and industrial infrastructure at the former nuclear sites to determine if they meet the strict operational requirements of modern AI factories. While global demand continues to surge—noting that [AI data centers are swallowing the world's memory and storage supply](https://www.tomshardware.com/pc-components/storage/perfect-storm-of-demand-and-supply-driving-up-storage-costs?utm_source=edit-links&utm_medium=boxout&utm_term=ai-shortage)—companies are searching for alternative ways to scale infrastructure quickly.
Infrastructure Advantages of Former Industrial Zones
The initiative aims to find alternatives to building massive data centers completely from scratch amidst an unprecedented AI infrastructure buildout. New data centers require well-located land, industrial-zone approvals, proximity to water infrastructure for cooling, and high-voltage grid connections—features that nuclear plants already inherently possess.
By repurposing these facilities, Nvidia hopes to significantly reduce both development costs and timelines. Guido Knott, Chairman of PEL's Management Board, stated that their former power plant sites feature valuable industrial infrastructure that can offer opportunities for new, future-oriented uses.
Technical Requirements and Leadership Perspectives
Markus Hacker, senior regional director at Nvidia, emphasized that AI factories require robust access to power, land, and high-capacity infrastructure. He noted that former industrial sites could provide a strong foundation for this next generation of computing.
Together, Nvidia and PreussenElektra will analyze how these locations can meet the technical and operational requirements of AI factories while contributing to Germany's broader high-performance artificial intelligence infrastructure.
Context Behind Germany's Nuclear Phase-Out
Germany permanently shut down its last remaining operational nuclear power plants in April 2023, following the Fukushima nuclear disaster, and is currently in the process of dismantling approximately 30 nuclear power plants across the country.
PreussenElektra is specifically responsible for the decommissioning and dismantling of eight of these plants, which are expected to be the primary sites evaluated under the new assessment initiative.
Current Feasibility Phase and Limitations
Both companies have explicitly clarified that the data center assessment initiative remains strictly in an experimental feasibility phase. No investment amounts, approved development plans, or definitive construction agreements have been finalized at this stage.
Additionally, the proposed plan does not involve using nuclear power to run any future data centers. The project remains entirely focused on the reuse of existing physical infrastructure and land resources.
Sources
- Tom's HardwareNvidia eyes converting old nuclear plants into massive AI data centers
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