Services / Sovereign and self-hosted AI
Sovereign and self-hosted AI, owned by you.
Custom AI on open-weight models, fine-tuned on your data and run where you decide.
01 / Problems
Problems we solve
These are the situations that bring organisations to this service.
A hosted AI API
- Data leaves the organisation
- The vendor sets terms, prices and availability
- Little to show an auditor
Self-hosted open-weight model
- Data stays where you decide
- You choose when the model changes
- Model, tuning data and location are documented
02 / Approach
How we deliver
Six steps, each ending in something you can judge. You can stop after any of them.
Pick an open-weight model family
We shortlist open-weight families that fit your language, task and licence terms, and test them on your own examples before anyone commits.
Fine-tune on your own data
We adapt the chosen model with your documents or transcripts, in an environment you control, so the data stays where you decided.
Self-hosted inference
We serve the model with an inference engine such as vLLM, behind an API that your applications call like any hosted one.
Evaluation and guardrails
A test set built from your tasks runs on every change. Input and output checks, logging and human review sit around the model where the risk is.
Run it where you decide
Nebius in European regions, your own servers or Azure in an EU region. We build with open weights, standard containers and infrastructure as code.
Hand over
Pipelines and infrastructure are code in your repositories, documented in a run book, and your team learns to operate and retrain the model.
03 / Hosting
Three places to run it
The choice follows your rules on data, the hardware you already have and the cloud you already use. We build for any of the three and record the decision.
- Your dataDocuments, calls, records
- Fine-tuneIn an environment you control
- Open-weight modelYours, tested on your tasks
You choose where it runs
- Your own servers (on-premises)
- Nebius, European regions
- Azure, EU region
Compare the options in detail
| Option | What it gives you | Fits when | Keep in mind |
|---|---|---|---|
| Your own servers (on-premises) | Full control on your own hardware. Nothing runs outside your buildings and your network. | Rules on data location are strict, or you already have GPU or data centre capacity. | You buy, power and maintain the GPUs, and capacity planning is yours. |
| Nebius, European regions | Managed GPU capacity in European regions, so you do not buy hardware. Nebius states that customers choose the region where their data is stored and processed, and that it is ISO/IEC 27001:2022 and ISO/IEC 42001 certified. | You want GPU capacity without owning hardware, in a region you pick. | Residency is the region you choose, not an EU-only guarantee. We help you pick the region and review the contract terms with your risk team. |
| Azure, EU region | Identity, networking and policy you already run, with the model inside the same estate. | You run on Azure today and want one security and governance model. | GPU availability and quota differ per region, and Azure terms apply as for any Azure service. |
Statements about Nebius are Nebius's own, from its trust centre. NexOps is a Nebius partner, and this page is NexOps's own. Nebius trust centre
04 / Deliverables
What you get
Fixed scope where possible. Planning and quote follow a first conversation.
- A model shortlist with an evaluation report on your own examples
- A fine-tuned open-weight model and the pipeline that retrains it
- Self-hosted inference, deployed with infrastructure as code
- An evaluation set and guardrails that run on every change
- Monitoring, logging and an audit trail for model use
- A run book, handover sessions and a decision record for the hosting choice
05 / Proof
What we have delivered
Client names and figures stay private, so we describe the work and not the results. The published results are in the case studies.
We have delivered multiple self-hosted AI projects with fine-tuned open-weight models.
Partner and credentials See voice agents All projects Chat with the demo model
Free check
Take the check
A score from 0 to 100 and a next step, in about three minutes.
06 / FAQ
Questions about self-hosted AI
Where do your data and your model live?
Where you decide. On your own servers, they live in your buildings. On Nebius, they live in the region you choose, and Nebius states that customers choose where their data is stored and processed. On Azure, they live in the EU region you select. Training data and model weights stay in that environment, and we write the location into the architecture.
Can we move providers later?
Usually, and we design for it: open weights, standard containers and infrastructure as code. A move still takes work, for example GPU capacity, networking and identity, so we record those dependencies at the start.
Is an open-weight model good enough for our use case?
Sometimes, and not always. We evaluate first: candidate models run on your own examples, and we compare them with the hosted model you use today. You decide on evidence, and if no open-weight model meets the bar, we say so.
How does the EU AI Act affect self-hosted models?
The Act applies to AI systems by their use and risk, whatever the hosting. Running a model yourself does not remove obligations, and you may take on duties that a provider would otherwise carry. Documentation, logging, human oversight and evaluation help you meet them, and we build those in. This is general information, not legal advice: ask your counsel which duties apply to your use case.
Do we need GPUs ourselves?
Not necessarily. You can rent GPU capacity, for example on Nebius or Azure, or use your own. Model size drives the GPU need, so we size capacity from the evaluation and not in advance. Fine-tuning needs capacity for the training run.
Next step
Does your AI need to stay in your hands?
Tell us which data is involved and which rules apply. We will say whether self-hosting fits, or whether a hosted model is the better choice.
Currently accepting projects for Q4 2026