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Citi: AI Inference Bottleneck Shifts From Chips to Power and Data Centers, A100 GPUs Up 11% in Six Weeks

AI Industry News

2026-06-16 08:53:33

According to Citi analysts, AI inference demand remains strong with the bottleneck shifting from advanced chips to older-generation GPUs and power infrastructure, the bank said on June 16 based on a report released June 14. A100 GPU rental prices rose 11% over six weeks, indicating sustained demand beyond cutting-edge hardware. The bank noted that data center capacity constraints now pose a major challenge: one private neocloud operator has signed for 4.9 GW of demand but has over 40 GW planned in its pipeline. Data center site selection increasingly depends on power costs around 9-12 cents per kilowatt-hour, renewable energy availability, and long-term power purchase agreements. Citi said AI infrastructure costs will continue rising as capital expenditures for equipment, power access, and early-stage infrastructure investments increase.

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