The Growing Energy Demand of Data Centers: Impacts of AI and Cloud Computing

Author(s)	Satyam Chauhan
Country	USA
Abstract	As artificial intelligence (AI) and cloud computing continue to expand, energy consumption in data centers has surged, resulting in significant environmental and economic consequences. Recent studies indicate a 160% increase in energy consumption due to these technologies. This paper examines the primary drivers of this escalating demand, focusing on the high computational workloads and the increased cooling requirements. It also evaluates current mitigation strategies such as energy-efficient hardware, advanced liquid cooling systems, and the integration of renewable energy sources. In addition, the paper explores emerging technologies like edge computing and quantum processing, which could enhance future energy efficiency in data centers. A comprehensive analysis of industry data, technical specifications, and academic research offers valuable insights into sustainable solutions that may reshape the data center landscape.
Keywords	AI, cloud computing, data centers, energy efficiency, energy demand, edge computing, quantum processing, renewable energy, sustainable solutions
Field	Engineering
Published In	Volume 6, Issue 4, July-August 2024
Published On	2024-08-21
DOI	https://doi.org/10.36948/ijfmr.2024.v06i04.26591
Short DOI	https://doi.org/g82hrc

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International Journal For Multidisciplinary Research