GPU cloud data residency EU questions usually arrive from a contract, a client questionnaire or an internal policy: "where will this data be processed?" On Cloudj, the honest answer has two parts. You can restrict GPU hosts to EU countries with the Country field, and each machine reports the country it is in. What Cloudj does not do is promise that any host meets GDPR or any other law. This article lays out a practical approach that uses the first part well and handles the second part honestly, with legal review where it belongs.
For an overview of European GPU locations, start with the GPU cloud in Europe guide.
What the platform gives you, and what it does not
| You can rely on | You cannot rely on |
|---|---|
| A Country field that limits results to the codes you enter | A list of countries that always have GPUs |
| Each machine reporting its country | City, data centre or region inside a country |
| Choosing the machine yourself before deploy | Any compliance claim (GDPR or otherwise) for Cloudj or hosts |
| Destroy deleting the instance and its disk | An SLA, redundancy or automatic move to another host |
Location is reported by the machine at country level. Machines are independent hosts. Keep that framing in every document you write about the setup, and do not overstate it to a client.
Step 1: write down your allowed country list
Before touching the console, agree on the list with whoever owns the policy. A typical EU-only list might use codes such as:
DE, NL, FR, SE, PL, IEAdd other EU or EEA codes your policy allows. The order does not matter to the filter; the console sorts by price. Keep the list in your runbook so every deploy uses the same codes. The country filter walkthrough shows the field and its behaviour, including that GB is the United Kingdom's code and is not an EU member.
Step 2: search only within that list
Open the GPU deploy page, paste the list into the Country field and pick your model or minimum VRAM. Check the country on the row you choose before you deploy. Stock changes during the day, so if nothing fits:
- loosen non-location filters (reliability, price, VRAM),
- try a sibling GPU model,
- wait and search again.
What you should not do is quietly widen to non-EU codes to start sooner. If a deadline forces the question, escalate it to the policy owner. Live prices for each model are on GPU cloud.
Step 3: keep source data and backups in the EU
The GPU instance should be a temporary workspace, not the home of your data. Keep the authoritative copy in EU storage you control:
- a VPS in Germany (Frankfurt) or a VPS in the Netherlands (Amsterdam) as a staging and backup server,
- or object storage you run in an EU region.
Pull data onto the GPU host at the start of a job and push results back as they are produced:
rsync -avP -e "ssh -p <port>" ./dataset/ root@<gpu-host>:/workspace/data/
rsync -avP -e "ssh -p <port>" root@<gpu-host>:/workspace/out/ ./results/Run these from your EU staging server so data moves directly between EU locations. Avoid routing it through laptops in other countries. The Europe VPS guide helps you pick the staging location.
Step 4: minimise what reaches the GPU
Residency is easier when less data travels. Before each job, ask whether you can:
- pseudonymise or remove personal fields the model does not need,
- send only the subset required for the run,
- keep logs free of raw inputs and outputs.
These steps reduce risk regardless of where the host is.
Step 5: delete after use
When the job ends and results are safely in EU storage:
- Delete data and checkpoints from the instance disk.
- Destroy the instance. Destroy deletes the instance and its disk permanently. Stop is not enough, because a stopped instance keeps its disk and continues to be billed for storage.
- Record the run: date, host country from the row, data used, and when it was destroyed.
Also watch the "available until" date on each machine. When it arrives, the instance and its disk are removed, so plan long jobs and backups around it.
Step 6: get a legal review
The steps above are technical controls. Whether they meet your obligations depends on your data, your contracts and the law that applies to you. Cloudj does not claim that its platform or any host meets GDPR or any other data-protection regime. Check your own legal obligations, and have your legal or privacy team review the setup before you process personal data. For some data, the right answer will be to keep processing on infrastructure you operate yourself.
A worked example
A team fine-tunes a support model on EU customer tickets. They keep tickets in a Frankfurt VPS, strip names and emails, search GPUs with DE, NL, FR, SE, PL, IE, deploy on a DE row, pull the cleaned subset, train, push LoRA adapters back to Frankfurt every save, verify them, then destroy the instance. The LLM fine-tuning in Europe guide covers the training side of this example.
FAQ
Does Cloudj guarantee my data stays in the EU?
No. You choose hosts by country with the filter, and each host reports its country. Keep authoritative data in your own EU storage.
Does Cloudj meet GDPR for me?
Cloudj makes no compliance claims for itself or for hosts. Check your own legal obligations and get advice.
Can I choose a city in Germany?
Not for GPUs; location is country level only. VPS locations have fixed cities.
What happens to data when I destroy an instance?
The instance and its disk are deleted permanently, and charges stop.
Next step
Agree on your EU country list, open the GPU deploy page with only those codes, and keep data and backups on an EU VPS you control. Delete after each run, record what you did, and have your legal team review the approach.