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English(EN) The Cost of Self-Hosting Open-Source LLMs: GPUs, Staffing, and Operations

2026年自托管大语言模型年成本将达15万至200万美元以上

预计到2026年,自托管开源大语言模型的年成本将在15万至200万美元之间。除了GPU硬件之外,显著的开销还包括专业工程人员的成本,这可能等于甚至超过硬件支出。从专业云服务提供商那里租用GPU通常比购买更具成本效益,除非能实现近乎恒定的利用率,并且价格因提供商而异,而非芯片本身。 AI

影响 自托管大语言模型需要对硬件和专业工程人才进行大量投资,影响了组织的部署策略。

排序理由 文章分析了自托管开源大语言模型的成本和运营考量,而非宣布新版本或重大行业事件。

在 dev.to — LLM tag 阅读 →

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2026年自托管大语言模型年成本将达15万至200万美元以上

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文章分析了自托管开源大语言模型的成本和运营考量,而非宣布新版本或重大行业事件。
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报道来源 [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Eric Thompson ·

    The Cost of Self-Hosting Open-Source LLMs: GPUs, Staffing, and Operations

    <p>Self-hosting an open-source LLM in production costs roughly $150,000 to $2 million or more per year in 2026. GPUs are only part of the bill: for most companies, the engineers who run the stack cost as much as or more than the hardware. Self-hosting usually beats paying for an …