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论文研究功耗模拟验证对AI算力约束的极限
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2026年10月7日,arXiv Computers and Society发布一手论文《功耗测量能在多大程度上约束隐蔽算力?AI治理中模拟验证的极限》。论文推导出闭式解β,表示功耗轨迹无法排除的最大隐藏算力占申报机器容量的比例。对NVIDIA A100 GPU的测量显示,最坏情况下β=1.16;对抗性能量匹配策略至少可隐藏β=0.41的算力。论文指出,仅靠模拟功耗测量约束力较弱;若允许验证方在观测运行点重执行申报工作,β可降至0.059。
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Oct 7, 2026
- arXiv · Computers and Society功耗测量能在多大程度上约束隐蔽算力?AI 治理中模拟验证的极限
论文推导出闭式解 β,表示功耗轨迹无法排除的最大隐藏算力占申报机器容量的比例。对 NVIDIA A100 GPU 的测量显示最坏情况下 β=1.16,对抗性能量匹配策略至少可隐藏 β=0.41 的算力。仅靠模拟功耗测量约束力较弱;若允许验证方在观测运行点重执行申报工作,β 可降至 0.059。
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