Question 1

Which GPUs can I rent?

Accepted Answer

The comparison shows every current offer across European data centres, with its GPU type, memory, price per hour and region. Stock changes by region and by day, so filter by the memory your model needs and pick the offer that fits your workload and budget.

Question 2

Are the GPU servers in Europe?

Accepted Answer

Every offer shows its region before you rent. Filter to data centres in the European Union and the workload and its data stay there. The subprocessors involved are listed with your data processing agreement under GDPR Article 28.

Question 3

Can I serve my own model?

Accepted Answer

Yes. Bring your weights, or start from an open model, and serve it on a server you rent. You choose the inference software and expose the model behind an endpoint, so latency, versions and access stay under your control.

Question 4

Is there a minimum term?

Accepted Answer

No. Servers are billed by the hour and you can stop one at any time. That suits jobs with a clear end, such as a fine-tuning run or an overnight batch, as well as testing a setup before you commit to longer use.

Question 5

When should I rent a GPU server instead of using the API?

Accepted Answer

Use the shared API when an available model does the job, because it's simpler and you pay per token. Rent a GPU server when you need your own weights, a fine-tune, a model the API doesn't serve, steady high volume or full control over the software stack.

Question 6

Can I fine-tune a model on my own data?

Accepted Answer

Yes. Rent a server with enough GPU memory for the model size, load an open-weight base model and train on your data. The data and the resulting weights stay on hardware only you use, in the region you chose.

Question 7

Do you use my data for training?

Accepted Answer

No. What you run on a rented server is yours. We never use your data, prompts or weights to train any model, and this commitment is part of the data processing agreement under GDPR Article 28 that you sign with us.

Question 8

How does billing work?

Accepted Answer

You pay for each hour a server runs, and the charge appears on one invoice in euros together with any API usage. The price per hour is shown on each offer before you start, so there are no surprises at the end of the month.

Question 9

Can I run batch jobs overnight?

Accepted Answer

Yes. Start a server, run the job and stop the server when it finishes, paying only for the hours in between. Typical batch jobs are embedding a document archive, transcribing a backlog of recordings or labelling a dataset for training.

Question 10

Can I move from a rented GPU to the shared API later?

Accepted Answer

Yes. If an open-weight model on the shared API turns out to fit your needs, point your code at the API and stop the server. Both run on the same account and the same invoice, so moving between them needs no new contract.

Question 11

Who are GPU servers for?

Accepted Answer

Teams that need their own hardware, such as machine learning engineers fine-tuning models, product teams serving a custom model and data teams with large batch jobs. If you only need a model behind an API, the shared Models API is the simpler choice.

Rent dedicated GPU servers in European data centres for your own AI workloads

How it works

Compare offers before you rent

EU regions only

Billed by the hour

Dedicated, not shared

Your data stays on your server

Billed in euros

What teams run on them

Fine-tuning

Serving your own model

Batch jobs

GPUs: common questions

Move your AI workloads to EU infrastructure