CloudLinux.ro
New, AI servers

Dedicated GPU power for AI, billed by the hour

Servers with a dedicated NVIDIA Blackwell GPU (not shared) and AMD EPYC Milan CPU up to 3.65 GHz. Built for LLM inference, fine-tuning and image generation, with your data in the EU.

NVIDIA Blackwell GPU

Blackwell-generation RTX PRO cards, dedicated entirely to your server, with up to 48 GB total VRAM.

AMD EPYC Milan CPU

Dedicated AMD EPYC Milan processors up to 3.65 GHz, for fast pre-processing and data pipelines.

Dedicated resources

The GPU and CPU are yours alone, never shared, so performance stays constant and predictable.

Pay by the hour

Start the server for as long as you need and stop it when you are done. No subscription, no monthly commitment.

GPU plans for AI

Pick the right configuration for your model. All include fast NVMe storage.

Dedicated GPU
NVIDIA RTX PRO 2000
0.43/hour
≈ €312/month running non-stop
VRAM
16 GB
CUDA cores
4,352
FP4 compute
545 TOPS
FP8 compute
272 TOPS
Memory bandwidth
288 GB/s
Processor
8 vCPU · 16 GB
Storage
NVMe
Create a GPU server
Dedicated GPU
NVIDIA RTX PRO 2000
0.80/hour
≈ €579/month running non-stop
VRAM
32 GB (2× 16)
CUDA cores
8,704
FP4 compute
1090 TOPS
FP8 compute
544 TOPS
Memory bandwidth
288 GB/s
Processor
12 vCPU · 24 GB
Storage
NVMe
Create a GPU server
Dedicated GPU
NVIDIA RTX PRO 4000
0.86/hour
≈ €617/month running non-stop
VRAM
24 GB
CUDA cores
8,960
FP4 compute
770 TOPS
FP8 compute
345 TOPS
Memory bandwidth
432 GB/s
Processor
8 vCPU · 16 GB
Storage
NVMe
Create a GPU server
Dedicated GPU
NVIDIA RTX PRO 4000
1.65/hour
≈ €1187/month running non-stop
VRAM
48 GB (2× 24)
CUDA cores
17,920
FP4 compute
1540 TOPS
FP8 compute
690 TOPS
Memory bandwidth
432 GB/s
Processor
12 vCPU · 24 GB
Storage
NVMe
Create a GPU server

Prices exclude VAT. Billing is hourly: you pay only for the hours the server runs. GPU servers are created from the panel like any other server, in the Timisoara location.

What you use them for

LLM inference

Run open-source language models (Llama, Mistral, Qwen) locally, with low latency and no per-token cost.

Fine-tuning

Train and fine-tune models on your own data, on a dedicated GPU, without sending anything to third parties.

Image generation

Stable Diffusion, Flux and other image models, with enough VRAM for high resolutions.

AI APIs and apps

Put your own AI endpoints into production, with full control over performance and cost.

Need GPU power for your AI project?

Create a GPU server straight from the panel, in a few minutes. Pay by the hour and stop it when you are done.

Create a GPU server