rotative
mit tech review · 2026年10月22日

ai推論帶來的隱藏儲存成本

企業難以跟上ai推論產生的數據,這可能會帶來遠超輸出檔案大小130倍的數據。这一隱藏成本可能會超過計算預算。

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ai inference creates a significant data storage challenge for enterprises. for example, an 8-second ai-generated video clip can leave behind over 500mb of associated data, a 130x increase over the output file size. as inference scales, the data footprint grows, with mckinsey projecting ai inference demand to grow at a 35% cagr through 2030. a recent survey found that 95% of respondents reported an increase in data volume due to generative ai, with 61% reporting growth of 25% or more. this hidden cost can outpace compute budgets, making storage a critical infrastructure cost that requires attention.

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