Solution
Private / Sovereign Compute
Architect private AI stacks so core models run inside your environment. Continuity plans if major AI providers change policies or disappear.
// systems decision sketch
$ sys3ai evaluate --domain "sovereign compute"
→ private AI stacks with clear failover and vendor minimization
→ data residency, compliance, and access controls mapped
// only build what survives systemic stress.
What we do
Deployment playbooks for dedicated GPU clusters. Data residency, compliance, and access controls. Failover and vendor-exposure minimization with clear runbooks.
Deliverables
- Sovereign compute architecture and sizing.
- Model deployment and lifecycle governance.
- Continuity and failover patterns for core workloads.
Who it’s for
Organizations needing AI without dependency on external APIs—high compliance, critical systems, and teams that must own continuity.
Use cases
- On-prem LLMs for regulated data domains.
- Edge inference for critical operations without cloud latency.
- Failover plans if third-party AI providers change terms.
Engage on sovereign compute
Share workloads, data sensitivity, and continuity expectations so we can design private AI footprints with clear failover.