Hourly GPU Servers

Choose a graphics card and a ready-made app (Ollama, ComfyUI, Jupyter), and pay only for the hours it runs. Automatic delivery with a dedicated HTTPS endpoint and API you can call from your own server or app.

From €0.02 per hour
Hourly billing Instant delivery Dedicated URL & API
💡 How is this price possible?

This service runs on a distributed network of thousands of GPUs instead of an expensive datacenter - which is why it costs a fraction of a traditional GPU server. If a node drops out, your app is automatically brought back up on another node, and you only pay for the hours it runs. A great fit for AI inference, image generation, rendering and batch jobs; if your workload cannot tolerate even a short relocation, our regular VPS is the right choice. Machine disk space is ephemeral - store your results externally.

Choose your graphics card

Prices are hourly and come from the same rate that appears on your invoice.

How many machines?

Each unit is a separate machine with its own card - not several cards in one machine.

1
Total · per hour €0.02
roughly per day
Continue and create

How it works

1 Pick a card and an app

Choose a GPU and one of the ready-made apps - nothing to install or configure.

2 Pay by the hour

Top up credit; only the hours your machine runs are deducted.

3 Get your dedicated endpoint

Minutes later your HTTPS address and private token are in your panel - use them from a browser or your own code.

Ready-made apps

Pick one at checkout; it arrives configured and ready.

Ollama Llama 3.1

LLM with an OpenAI-compatible API - call it from your own code.

ComfyUI Stable Diffusion

Image generation with Stable Diffusion - web UI and API.

Jupyter PyTorch

Python notebook on a GPU - for experiments and model work.

How is it billed?

Pay as you go, by the hour. You need at least 24 hours of credit to start; each hour is deducted from that balance, and deductions stop the moment you delete the machine.

How do I use it?

Pick a ready-made app at checkout and get a dedicated HTTPS address - open it in your browser or call it as an API from your own server or code. These are not VPS machines with SSH and root; they are a ready app on a dedicated GPU.

Model inference

Serve language and image models without buying hardware.

Rendering and video

Scene rendering, video processing and image generation - naturally batch work.

Training and experiments

Train with checkpoints so an interruption does not cost you the whole run.