The “we need more data centers for A.I.” fallacy is driven by software
vendors, whose software was built 40 years ago.
Ancient software is I/O wait state intensive.
I/O is input/output.
95% of what a data center does is – WAIT – for an I/O event to take place.
It is the multi-step process in every computer program of fetching pieces
of data, from different places, putting them together, delivering a result.
Data centers are needed because 1980s software is I/O wait state
intensive.
Optimize I/O wait states and you do not need more data centers.
Fractal enables any application to run 1,000 times faster.
If it runs 1,000 times faster, it needs only 1/1000th the hardware.
Thus it needs only 1/1,000th the energy.
So, any application can be moved to Fractal, in a quarter, and it will use
1,000th the power.
Thus, the data center fallacy is exposed.

Repost of Frank DaSilva article with permission – you should subscribe to his site. Beyond the Cloud: Why the Future of AI Is Smaller, Local, and Sovereign AI does not need hyperscale. It needs better architecture. Smaller systems, local intelligence, sovereign futures. Frank Da Silva Dec 23, 2025 Re-architecting intelligence for Terra 2.0 For years, the dominant story around artificial...

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