Service
Sovereign Compute Architecture
Private AI stacks on dedicated GPU backplanes or on-prem clusters. Model selection, deployment, and runbooks that keep you independent of third-party API turbulence.
// systems decision sketch
$ sys3ai evaluate --domain "sovereign compute"
→ private AI stacks with failover and governance
→ vendor exposure minimized; data stays inside
// only build what survives systemic stress.
What we do
Vendor exposure analysis, failover patterns, and security controls. Deployment playbooks for dedicated GPU clusters with observability, governance, and cost resilience from day one.
Deliverables
- Sovereign compute reference architecture and sizing.
- Model deployment and runbook guides.
- Compliance, data residency, and access control plans.
Who it’s for
Teams needing private AI footprints—regulated industries, critical systems, and organizations unwilling to bet continuity on external AI providers.
Engage on sovereign compute
Share workloads, data residency needs, and current vendor exposure. sys3(a)i responds where private AI footprints improve continuity.