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English(EN) Nvidia's memory costs soar 485%, latest AI systems now cost $7.8 million to build — memory now comprises 25% of the total cost, Rubin GPUs a mere $50,000 apiece

英伟达AI系统成本达780万美元,内存价格飙升

英伟达的下一代AI系统,特别是采用Vera Rubin VR200 NVL72配置的系统,预计每套成本将高达约780万美元。导致成本大幅上涨的一个重要因素是内存组件,目前约占系统总价的25%,相当于每套约200万美元。内存成本的飙升归因于LPDDR5X内存容量增加两倍,以及增加了大量的3D NAND存储,同时Rubin GPU上还集成了HBM4内存。 AI

影响 证实了不断上涨的硬件成本是AI基础设施扩展的主要制约因素。

排序理由 报道了由于组件价格(特别是内存)上涨导致AI硬件成本显著增加的情况。

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英伟达AI系统成本达780万美元,内存价格飙升

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Significant
报道了由于组件价格(特别是内存)上涨导致AI硬件成本显著增加的情况。
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2 independent sources
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infra, product
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报道来源 [2]

  1. Tom's Hardware TIER_1 English(EN) · Anton Shilov ·

    英伟达内存成本飙升485%,最新AI系统建造费高达780万美元——内存现占总成本的25%,Rubin GPU单价仅5万美元

    As memory content per rack increases in Vera Rubin platform, it now accounts for nearly 25% of its cost.

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    英伟达内存成本飙升485%,最新AI系统建造费高达780万美元——内存现占总成本的25%,Rubin GPU单价仅5万美元

    Nvidia's memory costs soar 485%, latest AI systems now cost $7.8 million to build — memory now comprises 25% of the total cost, Rubin GPUs a mere $50,000 apiece As memory content per rack increases in Vera Rubin platform, it now accounts for nearly 25% of its cost. https://www. t…