尽管AI代币成本大幅下降，但企业AI支出已增长三倍，导致对DRAM等内存组件的需求和价格飙升。过去两年，推理成本已下降280倍，但DRAM的合同价格却创下了90-95%的季度增长纪录。这一趋势让人联想到19世纪煤炭的杰文斯悖论，凸显了芯片市场内部的再平衡动态。 AI
影响 表明虽然AI推理成本正在降低，但对AI基础设施（尤其是内存）的总体需求正在增加，这可能会推高硬件成本。
排序理由 该集群讨论的是与AI基础设施成本相关的趋势和经济原理，而不是一个具体事件。
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The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually…
The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually…
The cheaper AI tokens get, the more expensive memory becomes. Inference costs fell 280-fold in two years; enterprise AI spending tripled anyway, and DRAM contract prices just posted a record 90-95% quarterly jump. Jevons saw this pattern in 1865 with coal. A look at what actually…