The AI Power Bottleneck

Why the fastest chips in the world sit idle waiting for a grid connection — and how mobile gas turbines broke the logjam.

GPUs 100,000
1,000600,000
150.0 MW required
Nvidia delivers chips in months · Grid connection takes a median of 5 years

Deployment Speed: Grid vs. Mobile Turbine

$1BPurchase Price
1+ GWFleet Capacity
~$1 /WCost Per Watt
600KH100s per GW

Scaling AI Power: Grid Interconnection vs. Mobile Turbines

Read the explanation

Artificial intelligence cluster scale is no longer constrained by chip silicon delivery, but by power delivery speed. In this simulator, each graphic processing unit requires one point five kilowatts of facility power. Moving the slider from one hundred thousand to six hundred thousand chips scales power demand from one hundred fifty to nine hundred megawatts, multiplying the infrastructure gap. Standard utility interconnection takes a median of five years through application, queue reviews, construction, and commissioning. Mobile gas turbines arrive by truck and interconnect within four weeks. Deploying temporary modular generation enables massive clusters to run immediately, converting a multi-year grid delay into an operational computing advantage.

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