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Nvidia and PreussenElektra Scout Decommissioned German Nuclear Plants for AI Hubs

Nvidia has partnered with German utility PreussenElektra to evaluate converting shuttered nuclear power stations into artificial intelligence data centers. The exploratory project seeks to repurpose existing grid connections and industrial infrastructure without restarting any dormant reactors.

By Naina Verma

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Nvidia and German energy firm PreussenElektra have launched a joint assessment to determine whether decommissioned nuclear power plants can be converted into high-performance artificial intelligence data centers. The partnership, announced on October 21, 2026, aims to bypass the lengthy permitting and construction timelines that typically delay new computing infrastructure.[3][4]

The initiative focuses strictly on repurposing the land, water access, and high-voltage grid connections left behind by the shuttered atomic stations. Unlike recent agreements in the United States, the German project explicitly rules out restarting any dormant reactors to generate electricity from fission.[3][4]

PreussenElektra, a subsidiary of the E.ON Group, is currently responsible for decommissioning and dismantling eight nuclear facilities across Germany. The country permanently closed its final three operational reactors in April 2023 following a long-planned phaseout accelerated by the 2011 Fukushima disaster.[2][4]

The utility is now managing the teardown of approximately 30 atomic stations nationwide. As the physical dismantling progresses, the company is seeking long-term commercial uses for the sprawling industrial zones that remain, which already possess the heavy infrastructure that modern data centers require.[2][4]

PreussenElektra is currently responsible for the decommissioning and dismantling of eight nuclear facilities across Germany.

Bypassing the construction bottleneck

Securing suitable land and adequate power has become the primary constraint on the global expansion of artificial intelligence. Major data center operators report that mounting barriers to bringing new projects online—including zoning approvals and grid connection delays—are severely limiting the industry's ability to deploy new capacity.[5]

Former nuclear sites bypass many of these hurdles because the necessary infrastructure is already in place. The massive transmission lines that once exported gigawatts of nuclear electricity to the German grid can theoretically be reversed to import power for tens of thousands of specialized graphics processing units.[1][3]

"AI factories require access to power, land and high-capacity infrastructure, and former industrial sites could provide a strong foundation for this next generation of computing," said Markus Hacker, Nvidia's senior regional director. He noted the assessment will determine how these specific locations meet the operational demands of AI workloads.[1][2]

PreussenElektra management views the partnership as a way to replace the economic activity lost when the reactors went offline. "Our former power plant sites have valuable industrial infrastructure and offer opportunities for new, future-oriented uses," said Guido Knott, chairman of the utility's management board.[2][4]

Knott emphasized that the utility intends to conduct a rigorous evaluation of the technical and regulatory conditions. "In doing so, we are combining the responsible reuse of our sites with new economic opportunities for the regions," he stated during the initial project announcement.[1][2]

A different approach to nuclear power

The German strategy contrasts sharply with how American technology giants are approaching the intersection of nuclear energy and artificial intelligence. In September 2026, Microsoft signed a 20-year power purchase agreement to support the planned restart of Unit 1 at the Three Mile Island nuclear plant in Pennsylvania.[4]

Modern AI training clusters require continuous power loads that rival the consumption of small cities.

Nvidia itself has recently backed initiatives aimed at deploying new nuclear generation. In July 2026, the chipmaker partnered with Amazon Web Services and several small modular reactor developers on the Prometheus project, which uses artificial intelligence to accelerate the deployment of advanced nuclear technologies.[2]

The PreussenElektra assessment, however, is purely a real estate and infrastructure play. Because Germany's legal framework prohibits the resumption of nuclear generation, any data center built on these sites will draw its electricity from the broader German grid, which relies increasingly on wind and solar power.[2][4]

This distinction means the project will not add new baseload generation to the European energy market. Instead, it will consume existing grid capacity, raising questions about whether the regional transmission networks can support the massive continuous draw of an AI factory without destabilizing local supply.[3][4]

Evaluating the remaining hurdles

The current phase of the partnership remains entirely exploratory, with no definitive construction agreements, selected locations, or committed investment amounts. The two companies are conducting an open-ended feasibility review to identify which of the eight available sites warrant more detailed engineering studies.[2][3]

Converting a site undergoing active nuclear decommissioning introduces unique logistical and regulatory complications. An operating data center and a dismantling operation require vastly different security perimeters, safety protocols, and environmental monitoring, meaning the two activities may struggle to coexist on the same footprint.[1][3]

The timing of the teardown process presents another significant constraint. While the grid connections exist, the physical space required for server halls and cooling towers may not become available until specific reactor buildings and containment structures are fully decontaminated and demolished.[2][3]

Illustration: Former nuclear sites possess the gigawatt-scale grid connections that AI developers currently wait years to secure.

Nvidia and PreussenElektra must also determine whether the existing power infrastructure can deliver the specific reliability standards demanded by continuous AI training runs. A grid connection designed to export power does not automatically guarantee the uninterrupted, highly stable voltage required by sensitive silicon.[1][3]

The sheer scale of modern artificial intelligence clusters makes finding suitable real estate increasingly difficult. A single training cluster utilizing 100,000 next-generation GPUs can consume upwards of 150 megawatts of continuous power, equivalent to the draw of a small city, severely limiting where such facilities can be placed.[3][5]

By targeting locations that previously hosted gigawatt-scale generation, developers can bypass the multi-year queue for new high-voltage grid interconnects. The former Biblis nuclear power plant in the German state of Hesse, for example, has already been earmarked to host a laser-based nuclear fusion research facility by 2035.[1]

The next verifiable milestone for the Nvidia and PreussenElektra partnership will be the publication of their initial site assessments. Until the companies identify a specific location and secure the necessary grid import agreements, the concept remains a theoretical solution to the industry's most pressing physical bottleneck.[2][3]

Key points

  • Nvidia and PreussenElektra are evaluating eight decommissioned German nuclear power plants for potential conversion into high-performance AI data centers.
  • The initiative seeks to utilize existing high-capacity grid connections and water infrastructure to bypass the lengthy development timelines of new construction.
  • Unlike recent US projects, the German partnership explicitly rules out restarting dormant reactors, relying instead on the broader electrical grid.
  • The open-ended feasibility study has not yet selected a specific site, committed investment funds, or established a construction timeline.

Open questions

  • Which of the eight decommissioned nuclear sites managed by PreussenElektra will be selected for detailed engineering studies.
  • How much electrical capacity the regional German grid can actually deliver to these locations without requiring massive transmission upgrades.
  • Whether the physical construction of server halls can safely coexist with the ongoing, decades-long process of radiological decontamination and dismantling.

Timeline

  1. April 2023

    Germany permanently shuts down its final three operational nuclear reactors, completing its long-planned phaseout.

  2. July 2026

    Nvidia partners with AWS and small modular reactor developers on the Prometheus project to accelerate nuclear deployment.

  3. September 2026

    Microsoft signs a 20-year agreement to support the restart of the Three Mile Island nuclear plant in the United States.

  4. October 21, 2026

    Nvidia and PreussenElektra announce a joint assessment to evaluate converting German nuclear sites into AI data centers.

Technology Infrastructure Developers 40%Regional Economic Planners 35%Energy Grid Operators 25%
Technology Infrastructure Developers
Emphasize the urgent need to bypass grid connection queues to sustain AI development.
Regional Economic Planners
Focus on replacing the economic activity lost during the nuclear phaseout.
Energy Grid Operators
Warn about the localized strain of adding massive continuous loads to the transmission network.

Perspectives this story doesn't cover

  • Environmental groups monitoring the safety of concurrent data center construction and nuclear dismantling.
  • Local residents living near the decommissioned plants who would be affected by the new industrial development.

Sources

Source coverage

5 outlets

3 viewpoints surfaced

Technology Infrastructure Developers 40%Regional Economic Planners 35%Energy Grid Operators 25%
  1. [1]World Nuclear NewsRegional Economic Planners

    NVIDIA to consider data centres at former German nuclear sites

    Read on World Nuclear News →
  2. [2]DatacenterDynamicsTechnology Infrastructure Developers

    Nvidia partners with PreussenElektra to explore deployment of AI data centers at former nuclear sites in Germany

    Read on DatacenterDynamics →
  3. [3]Tom's HardwareTechnology Infrastructure Developers

    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

    Read on Tom's Hardware →
  4. [4]TechRadarEnergy Grid Operators

    Nvidia wants to turn old nuclear power plants into huge AI data centers — but says it draws the line at turning them back on

    Read on TechRadar →
  5. [5]BloombergTechnology Infrastructure Developers

    Equinix Says Data-Project Barriers Could Boost Its Pricing Power

    Read on Bloomberg →
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