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The edge is not a philosophy. It’s a survival tactic.

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. techgrapple.com

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. The edge is not a philosophy

“The cloud was built for batch jobs—send an email, upload a photo,” says Maria Tendez, VP of Infrastructure at a leading edge computing startup. “AI agents need to talk back to you instantly. That means compute has to live inside the same metro area as the user. Period.” Running 100 of them in a suburban edge