AI capacity depends on more than models: compute, electricity, networks and clear rules all shape what can be built.
What makes the difference
A useful way to assess an AI project is to trace the whole chain, from the data centre and its power supply to the teams that maintain the service.
Questions for the next step
For teams putting this idea into practice, the key is to define the intended outcome, the people responsible for it and the conditions that would change the plan. Small, observable steps make trade-offs easier to discuss and improve.
Technology works best when its dependencies are understood, its limits are visible and people have a practical way to recover when something goes wrong.
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