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GPU server rental

GPU servers, billed by the minute

GPU rental on VRAMfarm starts at €0.12 an hour. Pick a card, from an RTX 3060 for experiments to an H100 or B200 for training large models, top up your balance in euros, and you can usually connect over SSH or Jupyter within 2–5 minutes.

Six different graphics cards floating in an arc, from a small card to a data-centre module

Consumer GPUs

The best price-to-speed ratio for image generation and models up to 32B.

GPUTypeMemoryTFLOPS FP32WherePrice per hour≈ per monthAction
RTX 5090 consumer 32 GB ≈104.8 +15 €0.76/h €547 per month Rent
RTX 5080 consumer 16 GB ≈56.3 +7 €0.33/h €238 per month Rent
RTX 5070 Ti consumer 16 GB ≈43.9 +3 €0.24/h €173 per month Rent
RTX 4090 consumer 24 GB ≈82.6 +16 €0.59/h €425 per month Rent
RTX 4080 consumer 16 GB ≈48.7 +7 €0.31/h €223 per month Rent
RTX 4060 Ti consumer 16 GB ≈22.1 +5 €0.16/h €115 per month Rent
RTX 3090 consumer 24 GB ≈35.6 +15 €0.30/h €216 per month Rent
RTX 3080 consumer 10 GB ≈29.8 +6 €0.17/h €122 per month Rent
RTX 3060 consumer 12 GB ≈12.7 +10 €0.12/h €86 per month Rent

Professional GPUs

More memory per card: 24–96 GB for serving large models and rendering.

GPUTypeMemoryTFLOPS FP32WherePrice per hour≈ per monthAction
RTX PRO 6000 workstation 96 GB ≈125 +8 €2.12/h €1,526 per month Rent
RTX A6000 workstation 48 GB ≈38.7 €0.72/h €518 per month Rent
RTX A5000 workstation 24 GB ≈27.8 €0.33/h €238 per month Rent
RTX A4000 workstation 16 GB ≈19.2 +1 €0.18/h €130 per month Rent

Data-centre GPUs for training

A100, H100, H200 and B200 with HBM memory for training and fast LLM inference.

GPUTypeMemoryTFLOPS FP32WherePrice per hour≈ per monthAction
B200 data centre 192 GB ≈80 €16.12/h €11,606 per month Rent
H200 data centre 141 GB ≈67 +2 €5.43/h €3,910 per month Rent
H100 data centre 80 GB ≈67 +1 €3.90/h €2,808 per month Rent
A100 data centre 80 GB ≈19.5 +2 €1.46/h €1,051 per month Rent
L40S data centre 48 GB ≈91.6 +1 €1.06/h €763 per month Rent
L40 data centre 48 GB ≈90.5 €0.46/h €331 per month Rent
L4 data centre 24 GB ≈30.3 €1.37/h €986 per month Rent

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

Why renting a GPU server beats buying one

Buy or rent

An RTX 4090 costs about €1,800, and a server with H100s costs hundreds of thousands. If you need a GPU for tens or hundreds of hours a month, renting is far cheaper: you don’t pay for idle time, power or maintenance, and when new models come out you simply switch cards.

Where the cards come from

VRAMfarm brings available machines from several data-centre providers into one catalogue. That gives you a wider choice than a cloud with a single data centre, at lower prices: we show the best offers.

RTX 4090: buying vs a year of renting
Buy the cardone card, no computer from €1,800
Rent 50 h a month600 h a year at €0.59/h €354
Rent 100 h a month1,200 h a year at €0.59/h €708
Rent 200 h a month2,400 h a year at €0.59/h €1,416
A year of renting only costs more than buying if the card is busy more than 254 hours every month. And that is before power, repairs and your own card going out of date.

Renting a GPU server

What you get

A machine with one or more graphics cards, a CPU, RAM and an NVMe disk, where you work as root inside an isolated container. Open a ready-made app for images, video or chat, take a developer environment (PyTorch with Jupyter, vLLM, an empty ComfyUI) or run your own Docker image. A server is usually ready in 2–5 minutes, or 8–15 minutes with your own image.

Configuration

Choose by video memory, because it decides which model fits. One 12–16 GB card is enough for Stable Diffusion and LLMs up to 8B. 32B models in 4-bit fit in 24 GB, and 70B needs an 80 GB card or several cards in one machine. Large models train and fine-tune fastest on A100 and H100 cards with HBM memory.

Billing

You pay by the minute: if a server ran for 40 minutes, you are charged 40/60 of the hourly price. The minimum charge per launch is 15 minutes. To launch, your balance must cover one hour of the machine; the rest stays on your balance. Billing stops when you stop the server. The disk is wiped when you stop; to keep your models and results, click Save and stop and we keep /workspace for €0.03 per GB per month.

How a GPU server starts
  1. Top up By card or SEPA in euros. Your balance must cover one hour of the machine. from €10
  2. Choose what to run A ready-made app, PyTorch with Jupyter, vLLM, ComfyUI or your own Docker image.
  3. Pick a card by memory From 12 GB for tests to 80 GB and more for 70B models. from €0.12/h
  4. Connect SSH, Jupyter or the app button in the dashboard. Billed by the minute. 2–5 minutes
ConfigurationTotal VRAMGood forPrice from, per hour
1× RTX 3060Tests, study projects, SD 1.512 GBTests, study projects, SD 1.5€0.12
1× RTX 4090Stable Diffusion, Flux, LLMs up to 32B in 4-bit24 GBStable Diffusion, Flux, LLMs up to 32B in 4-bit€0.59
2× RTX 4090LLM 32B with long context, parallel generation48 GBLLM 32B with long context, parallel generation€1.18
1× RTX A6000LLMs up to 72B in 4-bit, Wan 2.2 14B video, 13B fine-tuning48 GBLLMs up to 72B in 4-bit, Wan 2.2 14B video, 13B fine-tuning€0.72
1× A100LLM 70B in 4-bit, fine-tuning and fast inference80 GBLLM 70B in 4-bit, fine-tuning and fast inference€1.46
4× A100Training 30–70B models320 GBTraining 30–70B models€5.84
1× H100Training and inference at full speed80 GBTraining and inference at full speed€3.90
8× H100LLM training, full fine-tune of 70B640 GBLLM training, full fine-tune of 70B€31.20

The price of a multi-GPU server is a guide: number of cards × the price of one card. The exact cost of a specific machine is shown in the list of available servers before you launch.

Renting a server with a graphics card

When you need one

When your own computer runs out of memory or time: the model doesn’t fit in the 8–12 GB of a home card, training on a laptop takes a day, or rendering an animation ties up your workstation. A rented server takes that load off.

How it differs from a VPS

Unlike a virtual server from a regular host, the graphics card is yours alone and not shared, and the NVIDIA drivers and CUDA are already installed. Connect over SSH or through Jupyter Lab in your browser, and move files with scp, rsync or Git.

Your balance

Your balance is in euros and can be topped up by card or SEPA from €10. Machines you can launch right now are on the available servers page.

How you work with a rented server
Your computerA laptop or PC with any graphics card or none. All you need is a browser or a terminal.
Server with a GPU
  • The graphics card is yours alone, not shared
  • NVIDIA drivers and CUDA already installed
  • Root access in an isolated container
  • CPU, RAM and an NVMe disk

GPU rental questions

How much does a GPU server cost?

From €0.12 an hour for entry-level cards, from €0.59 for an RTX 4090 and from €3.90 for an H100. You only pay for the time it runs, by the minute.

Why is hourly GPU rental better than buying a server?

You don’t lock money into hardware that will be outdated in two or three years, and you only pay for the hours you actually use. For up to a few hundred hours a month, renting is almost always cheaper.

Which GPU should I choose for my model?

Video memory matters most. 12–16 GB is enough for Stable Diffusion and models up to 8B, 32B in 4-bit needs 24 GB (RTX 3090, 4090), and 70B in 4-bit needs 80 GB (A100, H100) or two 48 GB cards.

Can I rent several GPUs at once?

Yes, you can run several machines in parallel. Machines with several GPUs are listed separately in the catalogue.

How do I pay for a GPU server?

Your balance is in euros. Top it up by card or SEPA transfer from €10 through a payment provider we will announce before launch. VAT, where it applies, is shown at checkout.

Need an AI app with no setup?

Ready-made apps for images, video and chat install together with their models.