Private AI Blueprint Playbook
A step-by-step guide to architecting sovereign AI estates with NVIDIA DGX and regulated data controls.
Private and sovereign AI platforms are no longer science projects—they're table stakes for regulated enterprises that want generative AI without leaking a byte. This blueprint distils how we stand up NVIDIA DGX estates for banks, telcos, and governments.
1. Define Sovereign Requirements
Capture the non-negotiables before touching architecture. We keep the list tight:
- Data residency: Map datasets to the countries they must remain in and the regulators who will ask for evidence.
- Access segregation: Document which business units may never see each other's prompts, embeddings, or logs.
- Supply chain approvals: Confirm which GPU SKUs, HSMs, and OS baselines satisfy national security and procurement rules.
2. Architect the Landing Zones
We split the estate into three planes—compute, service, and control—each with its own connectivity and observability rules. A simplified reference:
landingZones {
sovereignGpuCluster {
nodes = dgx.h100
isolation = "air-gapped"
ingress = bastion + break-glass
}
servicePlane {
rag = { retriever, reranker, answerEngine }
evaluation = { factScore, toxicity, leakage }
}
controlPlane {
secrets = hsm.cluster()
audit = immutableLog()
telemetry = opentelemetry + grafana
}
}
3. Operationalise Guardrails
Technology is only half the story. We harden operations with:
- Ingestion pipelines: Automated classification, redaction, and retention policies on every file.
- Runtime policies: Prompt firewalls, output filters, and human-in-the-loop escalation within privileged enclaves.
- Evidence capture: Every approval, eval score, and incident captured automatically for auditors.
4. Launch in 45 Days
Day 0-10 we align stakeholders and finalise landing zones. Day 11-25 is build and ingest. Day 26-35 we run controlled preview with evaluation harnesses. Day 36-45 we complete red-team, document controls, and flip to pilot users. Momentum matters—so does finishing with artefacts boards can trust.
Private AI works when infrastructure, security, and operators move in lockstep. Break that triangle and you're stuck in pilot purgatory.