NVIDIA L4 rental from €1.37/h
Renting an NVIDIA L4 on VRAMfarm costs from €1.37 an hour. It is a data centre card on the Ada Lovelace architecture (2023) with 24 GB of GDDR6 memory: a frugal 72 W card for light inference and video. You pay by the minute from your balance, with no subscription.
To launch, your balance must cover one hour of the machine. You are billed by the minute for actual use.
What the L4 is good for
LLM inference
24 GB holds a model of up to about 10B parameters in FP16 and up to 36B in 4-bit, for example Qwen 2.5 32B, Gemma 2 27B and Mistral Small 24B. The memory bandwidth of 300 GB/s sets how fast tokens are generated.
Image generation
Good for Flux.1 [dev] at full precision, SDXL with ControlNet and LoRA training without compromises.
Training and fine-tuning
Full training and full fine-tuning: the tensor cores compute in FP16 and BF16.
Rental cost by period
| Period | Cost |
|---|---|
| 1 hour | €1.37 |
| A day (24 hours) | €33 |
| A week | €230 |
| A month (720 hours) | €986 |
Prices updated 12 November 2026. While the page is open we show the price of the cheapest reliable machine available in the catalogue. Prices are in euros. How VAT applies to your account will be shown at checkout.
Similar GPUs
How to rent the L4
- Sign up and top up your balance from €10. To launch, your balance must cover at least one hour of the machine.
- In the dashboard, click Rent a GPU, choose what to run (a ready-made app, PyTorch with Jupyter, vLLM or your own Docker image), then the L4 and a machine.
- The server is usually ready in 2–5 minutes. When you’re done, click Stop and billing stops. If you will need your models and results again, click Save and stop: /workspace is kept for €0.03 per GB per month and comes back on your next server.
Rental questions
How much does L4 rental cost?
From €1.37 an hour. Billing is per minute, with a minimum charge of 15 minutes per launch. To launch, your balance must cover one hour of the machine; the rest stays on your balance. Prices updated 12 November 2026.
Which AI models can I run on this card?
24 GB holds an LLM of up to about 10B parameters in FP16 or up to 36B in 4-bit, for example Qwen 2.5 32B, Gemma 2 27B and Mistral Small 24B.
How do I access the rented GPU?
The server is usually ready 2–5 minutes after launch. Ready-made apps for images, video and chat open with a button in the dashboard, and for your own code you get SSH and Jupyter. Developers can choose PyTorch with Jupyter, vLLM, an empty ComfyUI or their own Docker image.
How do I pay?
Top up your balance in euros by card or SEPA transfer, from €10. Payments go through a payment provider that we will announce before launch. VAT, where it applies, is shown at checkout.
How does the L4 compare with similar cards?
RTX 5080: 76% cheaper, 8 GB less memory, FP32 ≈ 56.3 vs 30.3 TFLOPS. RTX A6000: 47% cheaper, 24 GB more memory, FP32 ≈ 38.7 vs 30.3 TFLOPS. RTX 4080: 77% cheaper, 8 GB less memory, FP32 ≈ 48.7 vs 30.3 TFLOPS.
What happens to my data after I stop?
The server disk is wiped when you stop. If you need your models and results, click Save and stop: we keep /workspace for €0.03 per GB per month, and your next server gets it automatically. Saving does not work yet for custom Docker images.
Launch the L4
Available machines with an hourly price, billed by the minute from your balance.