// Sovereign
Your infrastructure. One sovereign cluster.
For governments, public-sector agencies, and operators of sovereign AI infrastructure. FAR Labs helps combine approved data centers, GPUs, and clusters into a managed inference federation.
Routing inside your boundaries.
One platform across approved facilities
Approved data centers, customer GPUs, and partner capacity can operate as one managed inference environment. Ready-to-use and custom models are accessed through one API, with separate access rights, limits, and usage accounting.
Routing follows declared boundaries
Each deployment is reviewed against the placement and control boundaries you define. Routing, scaling, and failover are configured to stay within the approved operating profile.
Signed execution evidence
Every result can name what produced it: weights, precision, engine, build digest, and the placement it ran on, bound together in a signed record per request. Your auditor gets a record they can check, not our word.
What runs on it
Typical use cases: government assistants, search and document processing, national and industry-specific models, and shared AI infrastructure for government agencies and universities.
Facilities you approve
Workloads are limited to facilities approved for the deployment, including government, operator, and partner environments where applicable.
Platform fee, compute separate
A fee for the platform and operations; compute capacity is charged separately. Infrastructure onboarding and fine-tuning are separate services. For a commercial operator, a service fee and revenue sharing are possible.
Sovereignty is a boundary, not a slogan.
Talk to us about federating the capacity you already operate.