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GEP:2025年数据中心维护成本-隐藏在AI盈利能力中的风险(及解决方法)白皮书(英文版)

发布者:wx****2e
2025-05-29
3 MB 14 页
大数据
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GEP:2025年数据中心维护成本-隐藏在AI盈利能力中的风险(及解决方法)白皮书(英文版).pdf
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Unlike traditional software requests, AI outputs are not only probabilistic but also compute-heavy. This creates persistent pressure on infrastructure, latency thresholds, and overall system economics. As generative AI transitions from cutting-edge innovation to enterprise-grade infrastructure, the focus is shifting. The conversation is no longer about how powerful a model is, but how efficiently it can be deployed and sustained. At the center of this shift is a growing recognition of


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