EU data residency
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
Sovereign AI
Sovereign AI Infrastructure
Practical infrastructure considerations for sovereign AI, private inference and data residency.
Sovereign AI is a practical infrastructure concern for enterprises and governments that need clear controls over data location, deployment ownership, vendor eligibility, auditability and model operation.
Private inference
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
Approved providers
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
Self-hosting
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
Dedicated deployments
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
Compliance and governance
Define requirements explicitly, then validate provider capabilities, contracts and technical architecture directly.
FAQ
What does sovereign AI mean in infrastructure?
It usually refers to AI systems deployed with jurisdiction, data residency, governance and operational control requirements.
Is sovereign AI only about self-hosting?
No. It can include approved cloud regions, private inference, dedicated deployments, self-hosting and governed vendor relationships.