Sovereign AI Infrastructure Starts with Sovereign Cloud
A private cloud foundation for AI workloads, where data control, local governance and automation matter.
AI needs more than models
Compute
Reliable, GPU-ready compute foundation operated locally.
Storage
Performance and capacity tiers aligned with AI workloads.
Networking
Bandwidth and topology suited to AI training and inference.
Security
Isolation, RBAC, and audit applied to AI environments.
Automation
Mehad and Terraform for repeatable AI infrastructure.
Data control
Data residency and governance for sensitive AI datasets.
The sovereign AI operating model
For AI labs
Reliable, isolated environments without operating your own infrastructure.
For enterprises
Production AI workloads run on infrastructure you control, with governance and audit.
For providers
Offer sovereign AI infrastructure through API-driven services.
GPU-ready infrastructure is on the VirtuWa roadmap. Talk to our team about your AI infrastructure scenario.
For the governance question behind this page, read Sovereign AI: who controls the compute?