AI infrastructure changes data-center design assumptions. Higher GPU density affects power delivery, cooling design, and network architecture. Sovereign requirements add another constraint: data, models, and operations may all need to remain inside defined legal boundaries.
Key design questions
- What must remain in-country versus merely in-region?
- Are operators, logs, backups, and model checkpoints subject to the same control boundary?
- Does the facility support the cooling and power density required for accelerator-heavy clusters?
Observed pattern
Many sovereign AI programs fail when legal and technical scope are defined separately. The facility plan, control plane, data governance model, and support model need one shared boundary definition.