Question 1

What AI models can run on RTX 3090?

Accepted Answer

The RTX 3090 (24 GB VRAM) can run models including recurrentgemma-9b, MediPhi-Instruct, Llama-2-7b-chat, Llama-3.2-1B-Instruct-QLORA_INT4_EO8, Llama-3.2-1B-Instruct-SpinQuant_INT4_EO8 and more — 10 compatible models indexed so far. Compatible models are determined by whether the model's memory footprint fits within the GPU's 24 GB VRAM, potentially using quantization (Q8, Q6, or Q4) to reduce memory usage.

Question 2

What is the cheapest cloud option for RTX 3090?

Accepted Answer

The cheapest on-demand option for the RTX 3090 is Vast.ai at $0.25/hr (1x-RTX_3090-32-65536). Spot/preemptible pricing is available at $0.00/hr. We track pricing across 9 providers to help you find the best deal.

Question 3

Is RTX 3090 good for fine-tuning?

Accepted Answer

The RTX 3090 can handle fine-tuning with some constraints. With 24 GB of VRAM, it's suitable for LoRA/QLoRA fine-tuning of models up to ~7B parameters. Full fine-tuning is limited to smaller models (~1-3B parameters). Techniques like gradient checkpointing and mixed precision help maximize what fits.

Question 4

How much VRAM does RTX 3090 have?

Accepted Answer

The RTX 3090 has 24 GB of VRAM (GDDR6X). It also offers 936 GB/s memory bandwidth, 71 TFLOPS of FP16 compute.

Question 5

What quantization formats work on RTX 3090?

Accepted Answer

The RTX 3090 supports the following quantization formats: FP16 (full precision), Q8 (8-bit), Q6 (6-bit), Q4 (4-bit). FP16 works for models up to ~7B parameters. Q4 quantization lets models up to ~81B parameters (by VRAM estimate) fit on the RTX 3090.

Provider	On-demand	Spot	Actions
Vast.ai	$0.250/hr	$0.000/hr	Rent
RunPod	$0.460/hr	$0.460/hr	Rent Get $5–$500 free

RTX 3090

Specifications

Cloud pricing

Compatible models

Compare this GPU

Frequently asked questions

VRAM	24 GB
Memory type	GDDR6X
Bandwidth	936 GB/s
FP16 TFLOPS	71
FP8 support	No