GPU servers for AI and ML teams in Romania

NVIDIA RTX PRO Blackwell GPUs with GDDR7 for inference, fine-tuning and rendering, billed monthly or yearly rather than by the hour.

These are GPU servers for teams that run models all day rather than for an afternoon: inference behind a product, nightly fine-tuning, embeddings for search, or a render queue. You choose between two NVIDIA RTX PRO Blackwell cards, with 24 GB or 96 GB of GDDR7 memory.

Servers are hosted in the EU, so training data and customer prompts stay under GDPR. Billing is monthly or yearly, never hourly, and every GPU plan includes 10 DevOps hours per month to get your stack running. Typical users in Romania: a fintech in Bucharest scoring transactions, a computer-vision studio in Cluj-Napoca, or an automotive software team in Timisoara.

NVIDIA RTX PRO 4000 Blackwell

  • 24 GB of GDDR7 memory, the entry tier for production inference.
  • Comfortable with small and mid-size models, up to roughly 14 billion parameters.
  • Light fine-tuning with LoRA or QLoRA on small models.
  • Suited to AI assistants, classification and embeddings.
  • A sensible first step for a prototype that also has to survive production.

NVIDIA RTX PRO 6000 Blackwell

  • 96 GB of GDDR7 memory for large models, around 70 billion parameters.
  • Fine-tuning of large models that do not fit on the smaller card.
  • Inference for many concurrent users on a single server.
  • A professional GPU for advanced rendering, visualisation and creative workloads.
  • Pick it when memory, not compute, is what limits your model.

Ready for AI and ML work

  • Our team can set up the NVIDIA drivers and the CUDA toolchain within your included hours, so you start from a working GPU rather than an empty server.
  • Frameworks such as PyTorch and inference servers can be set up within your included hours.
  • Containers keep the environment identical between a developer laptop, staging and the GPU server.
  • A shorter path from experiment to production.

GDDR7 memory

  • High memory bandwidth keeps the GPU fed when models are large.
  • Large batches of inference requests benefit the most.
  • Memory size, not just core count, decides which models fit: compare 24 GB and 96 GB against your own model before you order.

Monthly or yearly billing, never hourly

  • You pay by the month or by the year, not by the hour.
  • Cost stays predictable for steady workloads such as always-on inference and recurring training runs.
  • Short experiments are better served elsewhere; this offer is built for sustained use.
  • The pricing page lists the current plans.

10 DevOps hours included

  • Every GPU plan includes 10 hours per month of DevOps, CyberSecurity or programming work.
  • Requests go through the client panel, in the DevOps services section: propose a date and the team delivers.
  • Hours do not roll over from one calendar month to the next, and extra hours are accepted and billed separately.
  • Good uses: container images with CUDA, model-serving set-up, monitoring, access control and backups of model weights.

Hosting for AI teams in Romania

  • Data centre in Frankfurt, inside the EU; ask us whether there is capacity for the GPU you want.
  • A GDPR data processing agreement under Article 28 is available, which matters when prompts or training data include personal data.
  • Support in English and Romanian.
  • Romanian VAT is shown separately on every invoice, and the pricing page has the current plans.

Common questions

  • Can I rent a GPU by the hour? No. GPU servers are billed monthly or yearly.
  • Which GPU should I choose for a model of around 70 billion parameters? The RTX PRO 6000 Blackwell with 96 GB is built for models of that size, while the 24 GB card targets smaller ones.
  • Do you help set up the software? Yes, within your 10 included hours: container images, drivers, model serving and monitoring.
  • Where does my data live? In the EU, in our Frankfurt data centre.