为什么透明度对可持续的数据中心和碳中和的人工智能 (AI) 很重要
Can Hankendi1, Ayse K Coskun1, Benjamin K Sovacool2
1Electrical and Computer Engineering Department, Boston University, Boston, MA, USA.
iScience
|November 17, 2025
概括
人工智能 (AI) 的增长增加了数据中心的能源使用和碳足迹. 更大的数据共享透明度对于开发可持续的人工智能和减少环境影响至关重要.
科学领域:
- 计算机科学 计算机科学
- 环境科学 环境科学
- 可持续发展 可持续性 可持续性
背景情况:
- 人工智能 (AI) 应用需要大量的计算能力,导致数据中心的能源消耗增加.
- 预计到2030年,数据中心的电力需求将达到全球需求的9%,这突出了关键的环境问题.
- 人工智能行业的快速扩张加剧了与数据中心运营相关的环境挑战.
研究的目的:
- 强调迫切需要数据共享的透明度,以解决人工智能和数据中心对环境的影响.
- 为了突出研究人员在开发可持续性解决方案时所面临的局限性,由于缺乏运营数据.
- 倡导可行的战略,促进创新,实现碳中和的数据中心.
主要方法:
- 本研究是对当前挑战和未来可持续人工智能和数据中心运营需求的概念分析和审查.
- 它综合了关于能源消费趋势的信息,以及数据透明度在减轻环境影响中的作用.
- 该方法强调了数据共享对于绿色计算的研发至关重要.
主要成果:
- 可持续人工智能和碳中和数据中心的一个重大障碍是运营数据共享缺乏透明度.
- 有限的数据访问阻碍了开发有效的解决方案,以尽量减少人工智能的碳足迹.
- 提高透明度对于创新和制定减少环境影响的实际策略至关重要.
结论:
- 需要采取紧急行动来促进数据透明度,以便开发可持续的AI和数据中心实践.
- 通过数据共享促进创新是解决人工智能行业带来的日益严重的环境挑战的关键.
- 实施透明度措施对于确保数据中心行业的可持续未来至关重要.
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