Gallium oxide HV switches to turbo charge the AI data center

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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Publication Details

Journal
Open Access Government
Published
2025-10-20
DOI
https://doi.org/10.56367/oag-048-12255
Primary Topic
Plasma Diagnostics and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Gallium oxide HV switches to turbo charge the AI data center

Uttam Singisetti
Open Access Government
Plasma Diagnostics and Applications
article

Gallium oxide HV switches to turbo charge the AI data center

Uttam Singisetti
article en

Abstract

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.

Open Access GovernmentVol. 48(1)
University at Buffalo, State University of New York (US)
Openalex Percentile: Top 70%
Plasma Diagnostics and Applications
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