The AI infrastructure earnings calls of the past eight quarters have given the public a precise vocabulary for what the build-out costs in capital. Hyperscaler GPU procurement. Power purchase agreements. Real-estate footprints. The vocabulary they have not given the public is for what it costs to keep the clusters healthy on a recurring basis after […] This story continues at The Next Web
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June 10, 2026 at 8:15 AM
The $2 trillion AI infrastructure problem no one is talking about, and the engineer solving it
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