推理规模化正在显著增加AI计算成本，尤其是在2026年，因为模型需要进行更复杂的推理。这一趋势是由多步逻辑过程中更高的token使用量和基础设施支出驱动的。不断上涨的成本给企业和政策制定者带来了重大挑战，可能改变AI治理并迫使重新评估部署策略。 AI
影响 加速了对高效AI基础设施和成本管理策略的需求，以支持大规模模型部署。
排序理由 关注基础设施经济学和AI模型推理规模化的成本影响，影响企业部署和政策。
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