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.
Authors
- Zhaofei Wu (ORCID: https://orcid.org/0000-0002-2463-242X)
- Shuguang Qi
- Lin Niu (ORCID: https://orcid.org/0000-0002-3992-1240)
Institutions
- China Mobile (China) (CN)
- China Telecom (China) (CN)
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