As demand for clean electricity to run data centers increases, operators are turning to nuclear energy. But the path to power has a few roadblocks.
Nuclear energy could be the long-term solution for the energy demands of AI. In the short-term, though, AI companies may turn to oil and gas.
Advances in AI technology are sending shockwaves through the power grid. The latest generation of large language models requires significantly more computing power and energy than previous AI models.
As electricity needs grow, state governments all over the country are warming to the idea of building small nuclear plants.
The topic of energy is rapidly becoming central to the conversation around AI. AI is increasingly helping power suppliers deal with its own increasing demand.
The NANO Nuclear-Everstar collaboration, which was announced in July 2024, has already produced an advanced AI-driven compliance solution, designed to simplify and streamline NANO’s regulatory processes, marking an important step forward in both companies’ commitment to efficiency and safety in nuclear power.
Nuclear power not only provides the energy scale and reliability required by AI-driven data centers but also helps address the global need for climate action. With this synergy, the growth of AI ...
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That’s the message from Westinghouse Electric Co., the Cranberry Township-based firm that last year became the first company to design and build a new domestic nuclear reactor — actually two right next to each other – in more than 30 years with its AP1000 reactors at Plant Vogtle in Georgia.
In the US, demand for power from AI data centers is skyrocketing, driven by the intensive computational requirements of its models. Will it let up?
FN Media Group News Commentary - The partnership between Artificial Intelligence (AI) and nuclear power is a natural evolution in the quest for sustainable technological progress. As companies like NuScale,