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English(EN) 💰️ Dark GPUs 「 Decades later the fiber in the ground was still fully functional. The capacity could be sold for very little additional investment. Estimates are

AI 数据中心成本:60% GPU,40% 基础设施

AI 数据中心的成本严重偏向硬件,估计约 60% 的总支出来自最先进的芯片,主要来自 Nvidia。其余 40% 来自建筑物、电力和冷却系统等物理基础设施。这种物理基础设施可以保存相当长的时间,可能长达数十年,使其成为比快速贬值的 GPU 硬件更持久的投资。 AI

影响 突出了 AI 数据中心 GPU 硬件相对于更耐用的物理基础设施而言,成本高昂且在不断贬值。

排序理由 该项目讨论了 AI 数据中心的成本构成,重点关注硬件与物理基础设施的相对成本,这是一种分析性评论,而非具体事件。

在 Mastodon — mastodon.social 阅读 →

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

AI 数据中心成本:60% GPU,40% 基础设施

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该项目讨论了 AI 数据中心的成本构成,重点关注硬件与物理基础设施的相对成本,这是一种分析性评论,而非具体事件。
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报道来源 [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    💰️ 暗网GPU「 数十年后,地下的光纤仍可完全运行。只需极少的额外投资即可出售其容量。估计

    💰️ Dark GPUs 「 Decades later the fiber in the ground was still fully functional. The capacity could be sold for very little additional investment. Estimates are that about 40% of the cost of an AI data center is the physical infrastructure (buildings, power connections, cooling, …