Global AI and HUMAIN are teaming up to build high-density AI data center campuses in the US focused on sovereign AI use cases.
The flagship campus targets national-scale model training, secure high-throughput inference, and air-gapped sovereign cloud for governments and regulated enterprises.
The design is explicitly optimized for extreme-density compute, with liquid-cooled NVIDIA GB300 NVL72 systems at the core, signaling very high GPU concentration per rack and per campus.
NVIDIA Quantum-X800 InfiniBand underpins the fabric, which matters for large-scale training where interconnect often gates real performance more than raw FLOPs.
The off-premises, fully isolated architecture is aimed at customers who want hyperscaler-level GPU power without ceding data or operational control.
NVIDIA’s participation in Global AI’s funding round shows it is backing specialized sovereign AI operators as a distribution channel for its highest-end systems.
This link is worth a read to track how sovereign AI infrastructure is evolving outside the traditional cloud providers.
