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GPU rental for AI

Rent a GPU for AI from €0.12 an hour

For most AI work the deciding number is video memory. 12–16 GB covers SDXL, Flux in fp8, Whisper and small chat models; 24 GB adds Qwen-Image, Wan 2.2 video and 32B models in 4-bit; 48–80 GB is for 70B models, bigger video and training. VRAMfarm rents 20 NVIDIA cards from €0.12 an hour, billed by the minute.

A glass cube with a neural network on a graphics card, linked to image, sound and chat tiles: GPU rental for AI

Cards for AI work and their prices

GPUTypeMemoryTFLOPS FP32WherePrice per hour≈ per monthAction
RTX 3060 consumer 12 GB ≈12.7 +10 €0.12/h €86 per month Rent
RTX 3090 consumer 24 GB ≈35.6 +15 €0.30/h €216 per month Rent
RTX 4090 consumer 24 GB ≈82.6 +16 €0.59/h €425 per month Rent
RTX 5090 consumer 32 GB ≈104.8 +15 €0.76/h €547 per month Rent
RTX A6000 workstation 48 GB ≈38.7 €0.72/h €518 per month Rent
L40S data centre 48 GB ≈91.6 +1 €1.06/h €763 per month Rent
A100 data centre 80 GB ≈19.5 +2 €1.46/h €1,051 per month Rent
H100 data centre 80 GB ≈67 +1 €3.90/h €2,808 per month Rent
H200 data centre 141 GB ≈67 +2 €5.43/h €3,910 per month Rent

To launch, your balance must cover one hour of the machine. You are billed by the minute for actual use.

What you can do on a rented GPU

Images

ComfyUI with Flux, SDXL, Qwen-Image and HiDream opens in your browser, with the models already downloaded. Bring your own LoRAs and workflows.

Video

Wan 2.2 makes 5-second clips from text or a picture. The 5B model runs on 24 GB cards, the 14B model on 48 GB and up.

Chat and LLMs

A private chat on Qwen3, or your own API with vLLM. Data stays on the server.

Voice and speech

Text to speech with Qwen3-TTS, VoxCPM and Chatterbox (a voice from a few seconds of audio), transcription with Whisper.

Start from the task, then the card

An RTX 3090 and an RTX 4090 both have 24 GB: the same models fit, the 4090 is faster and costs more. Decide what has to fit first, then how fast you need it. The picker on the home page shows the cheapest card for a given model.

Three ways to work

Ready-made apps for people who want results without setup. Jupyter and SSH on a clean machine with CUDA 12 for people who write code. And an API to start and stop servers from your scripts. All three use the same cards and the same per-minute price.

Keep your files between sessions

The server disk is wiped when you stop. Save /workspace on stop, and models, LoRAs and outputs come back on the next server, even on a different card, for €0.03 per GB a month.

What a typical evening costs

Three hours of image generation on an RTX 4090 cost about €1.77. Testing a 70B model on an H100 for an hour: about €3.90. Stop the server and billing stops the same minute.

Ready-made apps for this

The app installs itself with its models and opens in your browser. You pay only for the GPU time.

Frequently asked questions

Which GPU should I rent for AI as a beginner?

An RTX 4090 or RTX 3090 with 24 GB. Almost every popular open model for images, video and chat runs on 24 GB, and they are among the cheapest cards per gigabyte.

Do I need to install drivers or CUDA?

No. Every machine comes with NVIDIA drivers and CUDA 12, and the driver and CUDA version are shown before you launch. Ready-made apps install themselves.

Can I use my own Docker image?

Yes. Choose “Custom Docker image” and give the image name. A server with a custom image cannot save its folder on stop. Docker does not run inside the server, because the server is itself a container.

How do I pay?

Top up your balance from €10 by card (Apple Pay and Google Pay included) or SEPA. Billing is per minute from the balance in euros.

Pick a card and start

Sign up, top up from €10 and launch a server or a ready-made app in a few minutes.