Research highlights gallium oxide semiconductors improve energy efficiency in AI data centers, suggesting potential for nuclear power integration.
Gallium oxide HV switches to turbo charge the AI data center Prof. Singisetti at the University at Buffalo explains why gallium oxide semiconductor could be a key player in the AI transformation of society. The release of ChatGPT in 2022 has led to an explosive increase in Artificial Intelligence (AI) applications and investments. The large language model (LLM) AI has proven to be extremely capable of performing complex tasks across a broad range of topics, yielding enormous economic benefits. This has led to massive investments in AI data centers. However, a significant challenge is the substantial energy demand of AI to perform even basic tasks. The anticipated demand for AI energy has bolstered nuclear power as a reliable energy source. The increased demand has also led to plans for high-voltage transmission lines in the US. As the AI data centers proliferate, power semiconductors will play a crucial role in integrating the new energy sources into the grid.
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Uttam Singisetti (2025) studied this question.
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