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NVIDIA’s H100 and B200 GPUs are power-hungry beasts. Running 100 of them in a suburban edge facility requires liquid cooling infrastructure that most urban buildings simply do not have. Startups are now retrofitting old factories and even underground parking garages, not because they want to, but because the power grid can’t handle any more density in traditional business districts.

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For the average tech founder, the lesson is harsh: Stop assuming the cloud is infinite. Start designing for transience . Your app’s state must survive a node going dark. Your database must sync across three tiny data centers that hate each other. NVIDIA’s H100 and B200 GPUs are power-hungry beasts

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The outcome of this grapple will be a . Critical AI agents will run at the hyper-local edge (sub-10ms latency). Massive training runs will stay in the core cloud. And everything in between (video rendering, batch analysis) will bounce around like a pinball depending on electricity prices and queue times.