Enhancing Energy Efficiency in AI-Powered Data Centers: Challenges and Solutions

The rapid proliferation of AI-powered data centers has led to significant increases in electricity consumption, with projections suggesting that these facilities could account for up to 9% of the United States' total electricity generation by 2030.This paper explores the factors contributing to the high energy demands of AI data centers, such as model training and online/offline inference.Estimates for the power and energy consumption for AI infrastructure are presented here, along with the analysis of existing energy efficiency techniques deployed in the industry.Additionally, the paper discusses the role of regulatory measures, corporate governance, and public awareness in supporting energy-efficient practices.The paper also highlights the potential of revolutionary technologies like quantum computing.By addressing these challenges, the technology industry can mitigate the environmental and economic impacts of growing energy demands, ensuring sustainable growth and development in the AI domain.

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Publication Details

Journal
International journal of high school research
Published
2024-11-30
DOI
https://doi.org/10.36838/v6i11.15
Citations
2
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
1.56
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article

Enhancing Energy Efficiency in AI-Powered Data Centers: Challenges and Solutions

S. Siva Shankar
2 citations
International journal of high school research
Cloud Computing and Resource Management
1.56
article

Enhancing Energy Efficiency in AI-Powered Data Centers: Challenges and Solutions

S. Siva Shankar
article en
2 citations

Abstract

The rapid proliferation of AI-powered data centers has led to significant increases in electricity consumption, with projections suggesting that these facilities could account for up to 9% of the United States' total electricity generation by 2030.This paper explores the factors contributing to the high energy demands of AI data centers, such as model training and online/offline inference.Estimates for the power and energy consumption for AI infrastructure are presented here, along with the analysis of existing energy efficiency techniques deployed in the industry.Additionally, the paper discusses the role of regulatory measures, corporate governance, and public awareness in supporting energy-efficient practices.The paper also highlights the potential of revolutionary technologies like quantum computing.By addressing these challenges, the technology industry can mitigate the environmental and economic impacts of growing energy demands, ensuring sustainable growth and development in the AI domain.

International journal of high school researchVol. 6(11)
South Johnston High School (US)
Affordable and clean energy
Openalex Percentile: Top 11%
Cloud Computing and Resource Management
1.56
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Enhancing Energy Efficiency in AI-Powered Data Centers: Challenges and Solutions — S. Siva Shankar · International journal of high school research (2024) | TGRS Research Map | TGRS