Sovereign AI Infrastructure

Stop Renting Your AI.
Own It.

Fixed hardware cost. Zero per-query fees. Your data never leaves your building.

Every query to a cloud AI provider is a meter running. Every document you upload is data on someone else's server. Every month you stay is another month you don't own anything. There is a better way, and it's not complicated.

The Problem

Cloud AI providers built a trap disguised as convenience. Three walls, no door.

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Per-Token Pricing

Every query costs money. Scale up, costs explode.

Real example: 10,000 queries per day on GPT-4 equals roughly $900 per month in API fees. 50,000 queries per day? $4,500. 100,000? $9,000. Every month. Forever.

$900/mo at 10K queries/day — and that is the floor, not the ceiling.

And they can raise prices anytime. You have no recourse.

They control the meter. You pay whatever it says.
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Data Exfiltration

Every prompt, every document, every customer record leaves your network.

Sent to servers you don't control, stored by companies you can't audit.

One breach, one policy change, one rogue employee — your data is exposed.

You signed their Terms of Service. That means you agreed to whatever they decide to do with your data later.
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Vendor Lock-In

They change terms overnight. They deprecate models. They shut you off.

Your entire AI infrastructure depends on a company that answers to its shareholders, not you.

OpenAI changed their terms 7 times in 2024. How many times in 2025?

7 term changes in one year. Each one could break your workflow.
Your business runs on their goodwill. That is not infrastructure. That is a subscription to risk.

The Alternative

What sovereign AI actually means, in plain English. No jargon, no architecture specs.

You buy hardware once. It runs forever. No subscription, no API key, no meter.

Your data stays on your network. Period. Nothing leaves your building unless you choose to send it.

No rate limits. No surprise bills. No deprecation notices. No one can shut you off.

You own the system, not a vendor. Open-source models, open-source stack, your hardware, your rules.

Cost Comparison

Simple, honest numbers. Local GPU vs OpenAI API over time. No marketing spin.

Per-Query Cost

Scenario OpenAI API (GPT-4) Local AI (One-Time Hardware)
10K queries/day ~$900/mo $0/query
50K queries/day ~$4,500/mo $0/query
100K queries/day ~$9,000/mo $0/query

Cumulative Cost Over Time

Timeframe OpenAI Total Local Hardware Savings
6 months $5,400 – $54,000 $1,500 – $5,000 (one-time) $3,900 – $49,000
12 months $10,800 – $108,000 $0 (already paid) $10,800 – $108,000
24 months $21,600 – $216,000 $0 (already paid) $21,600 – $216,000
Local hardware cost is one-time. After break-even (typically 1–3 months), every query is free. Forever.

What You Need

Not marketing fluff. Real numbers. Here is what it takes to run sovereign AI.

GPU
16GB+ VRAM for 7–13B parameter models. 24GB+ for 35B models. Ballpark: $400–$2,000 depending on capacity.
RAM
32GB minimum, 64GB recommended. You probably already have this.
Storage
500GB+ SSD for models and RAG databases. NVMe preferred, SATA SSD acceptable.
Network
None required. Runs completely offline. Air-gapped is not a feature — it is the default.
Power
Standard wall outlet. ~200–450W under load. Less than a gaming PC.
You probably already have a server. I can work with what you have or spec new hardware. No forced upgrades, no vendor-approved hardware list, no cloud dependency.

What I Do

I build sovereign AI infrastructure. You own it when I'm done.

Infrastructure Audit

$5,000 – $10,000

Assess what you have, what you need, what it will cost. Full inventory, gap analysis, hardware recommendations, and a build roadmap.

  • Current state assessment
  • Security vulnerability scan
  • Performance bottleneck analysis
  • Cost optimization review
  • Compliance gap identification

LLM Deployment

$15,000 – $25,000

Get models running on your hardware, your network. Full local inference stack optimized for your use case.

  • Model selection and testing
  • CUDA optimization
  • Docker Compose deployment
  • API layer (OpenAI-compatible)
  • Team handoff and documentation

RAG System

$30,000 – $60,000

Your documents searchable by AI, locally. Complete retrieval-augmented generation pipeline with vector database, document ingestion, and semantic search.

  • Vector database setup
  • Document ingestion pipeline
  • Semantic search (sub-100ms)
  • Citation and source tracking
  • Multi-format support (PDF, DOCX, etc.)

Full Build

$75,000 – $150,000

End-to-end sovereign AI platform. Everything from hardware spec to production deployment to team training. You get the keys.

  • Hardware specification and sourcing
  • Full stack deployment
  • LLM + RAG + monitoring
  • Security hardening
  • Team training and documentation

Ongoing Support

Starting at $5,000/month

Monitoring, updates, support. But you own everything. I am the maintenance crew, not the landlord.

  • Daily health checks
  • Weekly security patches
  • Performance tuning
  • Emergency support (24hr response)
  • Monthly status reports
No licensing costs. No per-query fees. No telemetry. You own the system, not a vendor.

FAQ

Real questions from real conversations.

Can I still use cloud AI alongside local?

Yes. Sovereign AI is about choice, not isolation. Use cloud for experiments, local for production. But your sensitive data stays local. The baseline is local; cloud is the exception, not the default.

What if a local model isn't good enough for my use case?

Local models handle 90% of business workloads today — summarization, search, classification, code review, document analysis. For the 10% that needs GPT-4-level reasoning, you route just those queries to cloud. But the baseline is local.

What happens when hardware breaks?

Same as any server. You fix it or replace it. Your models and data are on storage you control — not locked in someone's cloud. Backups are local. Recovery is in your hands, not a vendor's ticket queue.

Is this legal and compliant?

Sovereign AI is the most compliant model possible. HIPAA, CMMC, GDPR — all easier when data never leaves your network. No data sharing agreements, no subprocessor audits, no breach notifications to third parties.

I'm not technical. Can I still do this?

That is what I do. I build it, document it, train your team, and hand you the keys. You don't need to be an AI engineer to own your AI infrastructure.

Ready to own your AI instead of renting it?

No sales pitch. Tell me what you're paying for AI now, and I'll show you the break-even.

Response time: 24 hours (usually faster)

Contact Me

CONUS deployable. Phoenix, AZ based. Remote work nationwide.