Deep Infrastructure: The Cost of Intelligence
A longitudinal study on the hardware requirements for installed sovereign AI at scale.
The conversation about AI costs almost always focuses on software licensing and API fees. The deeper, more consequential cost is infrastructure — the physical substrate upon which sovereign AI must run.
The Hardware Gap
Organisations deploying production-grade AI at scale face a hardware reality that most vendor pitches obscure. GPU availability, cooling requirements, and network latency are not afterthoughts — they are the foundation.
"The organisations winning at AI are not those with the best models. They are those with the best infrastructure to run them."
Dr. Alicia Thorne
Chief Intelligence Analyst, ARKS
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