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OpenAI and Nvidia’s $100B AI plan to consume power equal to 10 nuclear reactors

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
September 22, 2025
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OpenAI and Nvidia’s 0B AI plan to consume power equal to 10 nuclear reactors
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Introduction to Nvidia and OpenAI’s Investment

Nvidia has invested $100 billion in OpenAI, a move that is expected to be highly beneficial for Jensen Huang, the CEO of Nvidia. Bryn Talkington, managing partner at Requisite Capital Management, noted the circular nature of the investment structure, stating that Nvidia invests in OpenAI, which then turns back and gives it back to Nvidia.

Racing for Nuclear Power

In an August earnings call, Huang told investors that building one gigawatt of data center capacity costs between $50 billion and $60 billion, with about $35 billion going toward Nvidia chips and systems. At that rate, the 10 gigawatt project could require total investment exceeding $500 billion. The massive energy requirements have driven other tech giants to nuclear partnerships for similar projects. For example, Microsoft signed a 20-year agreement to restart a Three Mile Island reactor for 835 megawatts, while Amazon Web Services purchased a data center next to Pennsylvania’s Susquehanna nuclear plant with plans to use up to 960 megawatts.

Other Massive AI Infrastructure Projects

Other massive AI infrastructure projects are emerging across the US. In July, officials in Cheyenne, Wyoming, announced plans for an AI data center that would eventually scale to 10 gigawatts—consuming more electricity than all homes in the state combined, even in its earliest 1.8 gigawatt phase. Whether it’s connected to OpenAI’s plans remains unclear. Altman’s ambition for mega-sized datacenter deals now stretches back over a year. In September of last year, Constellation Energy CEO Joe Dominguez told Bloomberg he had heard Altman wanted five to seven data centers of 5 gigawatts each.

Environmental Concerns

The planned infrastructure buildout would significantly increase global energy consumption, which also raises environmental concerns. The International Energy Agency estimates that global data centers already consumed roughly 1.5 percent of global electricity in 2024. OpenAI’s project also faces practical constraints. Existing power grid connections represent bottlenecks in power-constrained markets, with utilities struggling to keep pace with rapid AI expansion that could push global data center electricity demand to 945 terawatt hours by 2030, according to the International Energy Agency.

Conclusion

The investment by Nvidia in OpenAI is a significant move that is expected to have a major impact on the tech industry. The planned infrastructure buildout would require massive amounts of energy, which raises concerns about the environmental impact. As the details of the investment are finalized, it will be important to consider the potential consequences of such a large-scale project.

FAQs

Q: How much did Nvidia invest in OpenAI?
A: Nvidia invested $100 billion in OpenAI.
Q: What is the expected energy consumption of the 10 gigawatt project?
A: The 10 gigawatt project could require total investment exceeding $500 billion and consume massive amounts of energy.
Q: Are there other companies investing in similar projects?
A: Yes, other tech giants such as Microsoft and Amazon Web Services are also investing in nuclear partnerships for similar projects.
Q: What are the environmental concerns related to the project?
A: The planned infrastructure buildout would significantly increase global energy consumption, which raises concerns about the environmental impact.
Q: When are the details of the investment expected to be finalized?
A: The companies said they expect to finalize details in the coming weeks.

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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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