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Service 02 · Sovereign AI Infrastructure
AI on your own hardware — so your data stays in-house
Sovereign is not a label but a question of proof: where is the data, where does the model compute, who can change the version, and what happens if the vendor changes its terms tomorrow. Whoever has no answer to that has a dependency that can’t be unwound later.
Where it usually gets stuck
- The data must not leave the building.Design data, recipes, order data. Many contracts have said so for a long time — only the tools don’t comply.
- Costs aren’t predictable.Usage-based pricing is convenient until an application becomes successful. Your own hardware has a price, but a known one.
- Nobody knows which model is answering right now.Without a pinned version, yesterday’s result can’t be reproduced — and is therefore worthless in a dispute.
How I work
- Measure load and demand.Which tasks run how often, with what response time and model size. The hardware follows from that, not the other way round.
- Set up the runtime.Containerised, with model routing: the small task gets the small model. That is the biggest lever for throughput and the power bill.
- Control delivery.Models get versions, checks and a way back. Whatever isn’t better than what’s already running isn’t shipped.
- Hand over operations.Metrics, logs, thresholds — and documentation that someone can read without me.
How you measure it
Response time under load, GPU utilisation, cost per thousand requests — and the question of whether a model version from three months ago can still be started today.
Frequently asked questions
Do we need a data centre for this?
No. For most applications a single server with one or two graphics cards is enough. The leap to a data centre only pays off once training is added.
What’s the difference from “on-premises”?
On-premises tells you where the machine sits. Sovereign additionally says that you hold the model version, the delivery and the evidence in your own hands — even if a vendor changes its offering.
Does it pay off compared with a subscription?
That’s a calculation, not a conviction. It depends on utilisation, the response time you need, and how much data you’re not allowed to hand over. I run both calculations before anything is procured.
Getting started
- One plant, two weeks, one number you can rely on.Connect what’s there. Two weeks of measuring instead of guessing. Afterwards, whether the expansion pays off is stated in euros — not in a presentation.