VRAMfarm logo VRAMfarm
EN
Sign up
Choose by video memory

GPUs with 12 GB VRAM and more

Cards with at least 12 GB of video memory start at €0.12 an hour on VRAMfarm (RTX 3060). 12 GB holds a language model of about 18B parameters in 4-bit or 5B in FP16. For images and video: SDXL comfortably, Flux in fp8 with some offloading.

12 GB is the entry point for AI work: enough to learn ComfyUI, run SDXL, transcribe with Whisper or chat with an 8B model. It is also the cheapest memory you can rent.

Cards with 12 GB or more, cheapest first

GPUTypeMemoryTFLOPS FP32WherePrice per hour≈ per monthAction
RTX 3060 consumer 12 GB ≈12.7 +10 €0.12/h €86 per month Rent
RTX 4060 Ti consumer 16 GB ≈22.1 +5 €0.16/h €115 per month Rent
RTX A4000 workstation 16 GB ≈19.2 +1 €0.18/h €130 per month Rent
RTX 5070 Ti consumer 16 GB ≈43.9 +3 €0.24/h €173 per month Rent
RTX 3090 consumer 24 GB ≈35.6 +15 €0.30/h €216 per month Rent
RTX 4080 consumer 16 GB ≈48.7 +7 €0.31/h €223 per month Rent
RTX A5000 workstation 24 GB ≈27.8 €0.33/h €238 per month Rent
RTX 5080 consumer 16 GB ≈56.3 +7 €0.33/h €238 per month Rent
L40 data centre 48 GB ≈90.5 €0.46/h €331 per month Rent
RTX 4090 consumer 24 GB ≈82.6 +16 €0.59/h €425 per month Rent
RTX A6000 workstation 48 GB ≈38.7 €0.72/h €518 per month Rent
RTX 5090 consumer 32 GB ≈104.8 +15 €0.76/h €547 per month Rent
L40S data centre 48 GB ≈91.6 +1 €1.06/h €763 per month Rent
L4 data centre 24 GB ≈30.3 €1.37/h €986 per month Rent
A100 data centre 80 GB ≈19.5 +2 €1.46/h €1,051 per month Rent
RTX PRO 6000 workstation 96 GB ≈125 +8 €2.12/h €1,526 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
B200 data centre 192 GB ≈80 €16.12/h €11,606 per month Rent

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

What runs on 12 GB

Language models

Up to about 18B parameters in 4-bit (AWQ, GPTQ, GGUF Q4) or 5B in FP16, with room for a normal context. Long context and many parallel users need more. The VRAM calculator works it out for your model.

Images and video

SDXL comfortably, Flux in fp8 with some offloading.

Training

LoRA for SDXL with small batches; QLoRA of models up to about 3B.

Typical jobs at this size

  • SDXL and Flux in fp8
  • Chat models up to 14B in 4-bit
  • Whisper and text to speech

Frequently asked questions

What is the cheapest GPU with 12 GB or more?

The NVIDIA GeForce RTX 3060 12GB, from €0.12 an hour on VRAMfarm, billed by the minute.

Which LLM can I run on 12 GB?

About 18B parameters in 4-bit or 5B in FP16, with room for a normal context. For example: Llama 3.1 8B, Qwen3 14B.

Can I combine the memory of several GPUs?

For language models, yes: vLLM and llama.cpp split a model across cards, so 2 × 24 GB can run what needs about 40 GB. For image and video models memory does not add up, one card has to hold the model.

How do I know 12 GB is enough?

Add up the weights (2 GB per billion parameters in FP16, 0.6 GB in 4-bit), the context cache and 10–15% for buffers, or use our VRAM calculator. If the model does not fit, it either fails with “CUDA out of memory” or runs much slower with offloading.

Rent 12 GB of VRAM

Top up from €10, pick a card from the list and start in a few minutes.