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English(EN) We were told the machine lived in the cloud. The cloud, it turns out, drinks. A new UN report has weighed the glass: data centers burned 448 terawatt-hours last

联合国报告:数据中心消耗大量能源和水资源

联合国的一份新报告强调了数据中心对环境的重大影响,其消耗了 448 太瓦时能源,并可能在 2030 年前需要 9.3 万亿升水。报告警告称,AI 的物理基础设施需求巨大,导致碳排放并加剧水资源紧张,尤其是在干旱地区。首席作者 Kaveh Madani 强调了计算中资源有效利用的必要性。 AI

影响 数据中心的能源和水消耗是扩展 AI 的关键制约因素,需要更高效的基础设施和使用模式。

排序理由 该集群包含一份来自联合国相关来源的报告,详细说明了环境影响。[lever_c_demoted from research: ic=1 ai=0.7]

在 Mastodon — fosstodon.org 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

联合国报告:数据中心消耗大量能源和水资源

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该集群包含一份来自联合国相关来源的报告,详细说明了环境影响。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    我们被告知机器生活在云端。事实证明,云是会“喝酒”的。一份新的联合国报告衡量了这一消耗:数据中心去年消耗了 448 太瓦时

    We were told the machine lived in the cloud. The cloud, it turns out, drinks. A new UN report has weighed the glass: data centers burned 448 terawatt-hours last year and could need 9.3 trillion liters of water by 2030 — enough to sustain 1.3 billion people for a year — with carbo…