Study on AI Data Center Infrastructure Sustainable Deployment and Standardization

With the rapid advancement of Artificial Intelligence (AI) technologies, their applications are expanding across increasingly diverse domains. As critical infrastructure supporting AI operations, data centers face significant challenges posed by escalating server power densities and the growing demand for reliability and energy efficiency in different AI application scenarios. This paper systematically investigates sustainable architectural frameworks and core subsystems for Artificial Intelligence Data Centers (AIDCs), including high-efficiency power supply systems, advanced cooling architectures, and intelligent monitoring platforms. The study further introduces sustainable deployment methodologies for AIDC subsystems. Additionally, it conducts a comprehensive review of international standards governing AIDC development, as promulgated by major Standards Development Organizations (SDOs). The findings establish technical foundations and operational guidelines for the construction of sustainable, high-performance AI infrastructure aligned with global standardization initiatives.

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Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cai64502.2025.00290
Primary Topic
AI and HR Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Study on AI Data Center Infrastructure Sustainable Deployment and Standardization

Zhaofei Wu, Shuguang Qi, Lin Niu
AI and HR Technologies
article

Study on AI Data Center Infrastructure Sustainable Deployment and Standardization

Zhaofei Wu, Shuguang Qi, Lin Niu
article en

Abstract

With the rapid advancement of Artificial Intelligence (AI) technologies, their applications are expanding across increasingly diverse domains. As critical infrastructure supporting AI operations, data centers face significant challenges posed by escalating server power densities and the growing demand for reliability and energy efficiency in different AI application scenarios. This paper systematically investigates sustainable architectural frameworks and core subsystems for Artificial Intelligence Data Centers (AIDCs), including high-efficiency power supply systems, advanced cooling architectures, and intelligent monitoring platforms. The study further introduces sustainable deployment methodologies for AIDC subsystems. Additionally, it conducts a comprehensive review of international standards governing AIDC development, as promulgated by major Standards Development Organizations (SDOs). The findings establish technical foundations and operational guidelines for the construction of sustainable, high-performance AI infrastructure aligned with global standardization initiatives.

China Mobile (China) (CN), China Telecom (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
AI and HR Technologies
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Study on AI Data Center Infrastructure Sustainable Deployment and Standardization — Zhaofei Wu, Shuguang Qi, et al. · (2025) | TGRS Research Map | TGRS