AI infrastructure scaling faces a critical bottleneck that often goes overlooked: energy. It's not about computational models or semiconductor supply anymore. The real challenge? Hyperscalers and massive data centers demand enormous power consumption, yet electricity grids—particularly across North America—are struggling to keep pace. Grid expansion takes time. Building new generation capacity takes longer. Meanwhile, demand just keeps climbing.
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SpeakWithHatOn
· 22h ago
The energy crisis is the real ceiling; chips and computing power are just surface-level issues.
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SchrodingersPaper
· 22h ago
Energy is the real ceiling; the chip supply chain has long been outdated. The current scale is too large to sustain.
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MEVictim
· 22h ago
The energy crisis is real, but I think everyone is still worried about the chip shortage. Meanwhile, the power grid here is about to be overwhelmed.
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UncleLiquidation
· 22h ago
The energy crisis is the real killer, chips and computing power are just clouds...
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CryptoFortuneTeller
· 22h ago
The energy crisis has indeed been underestimated. Chips and computing power are not the bottlenecks; the power grid is the real ceiling.
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ProbablyNothing
· 22h ago
The energy crisis is even crazier than the chip shortage; this is the real bottleneck.
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tx_pending_forever
· 22h ago
Energy issues are really the ultimate weapon; the hype about chip production capacity has been exaggerated.
AI infrastructure scaling faces a critical bottleneck that often goes overlooked: energy. It's not about computational models or semiconductor supply anymore. The real challenge? Hyperscalers and massive data centers demand enormous power consumption, yet electricity grids—particularly across North America—are struggling to keep pace. Grid expansion takes time. Building new generation capacity takes longer. Meanwhile, demand just keeps climbing.