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Alquilar Nvidia RTX 3090.

Name: Nvidia Nvidia RTX 3090
Brand: Nvidia
SKU: gpu-rtx-3090

Ampere 24GB VRAM 350W

AI models

Models that run on this GPU.

GPU-count + quantization recommendations covering fine-tuning, inference, and run-it-yourself scenarios on the Nvidia RTX 3090.

Stable Diffusion XL

The most-deployed image-gen GPU pair.

Mistral 7B v0.2

Mistral 7B v0.1

Historical baseline.

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FAQ

AI models on this GPU.

What AI models can I run on a Nvidia RTX 3090?

The grid above lists every open-weights model with a recommended GPU configuration for this card. Each row tells you the minimum GPU count and the quantization level (FP16, FP8, INT8, INT4) needed to load the model in 24GB of VRAM.

What's the VRAM minimum to run a model on the Nvidia RTX 3090?

Rule of thumb: a model needs roughly (parameters × bytes-per-weight × 1.2) of VRAM to load, plus headroom for the KV cache during inference. FP16 = 2 bytes/weight, FP8/INT8 = 1 byte, INT4 = 0.5 bytes. A 70B model at FP16 needs ~168GB; at INT4 it drops to ~42GB and fits a single high-VRAM card.

How does quantization (FP16 vs FP8 vs INT4) affect what fits?

Lower-precision quantization shrinks the memory footprint nearly linearly with the bit count. The trade-off is output quality: FP16 is the reference, FP8 is usually indistinguishable for most prompts, INT8 introduces small quality losses, INT4 is noticeably degraded on reasoning-heavy tasks but fine for chat. The badge on each row tells you which level the recommendation assumes.

Can I fine-tune on the Nvidia RTX 3090 or only do inference?

Fine-tuning needs 4–8× more VRAM than inference at the same model size — gradients, optimizer state, and activations all live in memory. LoRA / QLoRA cut that overhead dramatically (often 4–10×). The notes column flags whether a row is an inference-only recommendation or includes a fine-tuning path.

Where do these GPU-count recommendations come from?

We curate them from official model cards, community benchmark threads (r/LocalLLaMA, HuggingFace forum), and known-good configurations published by the model makers. Each recommendation has been verified to load at the stated quantization on the listed GPU count — though throughput and context-length still vary by workload.

Alquilar Nvidia RTX 3090.

Daily median across providers.

All providers carrying this GPU.

Suitable workloads.

Run these on this GPU.

Frequently asked.

Models that run on this GPU.

Stable Diffusion XL

Mistral 7B v0.2

Mistral 7B v0.1

Mistral 7B v0.3

Stable Diffusion 3.5 Large

Qwen 3 8B

Gemma 2 9B

GLM-4.7

Qwen: Qwen3.5-9B

NVIDIA: Nemotron Nano 9B V2

Z.ai: GLM 4.5V

Gemma 2 9B It

Nvidia Nemotron Nano 9B V2

Qwen3.5 9B Fp8

Stable Diffusion 3.5 Medium

DeepSeek R1 Distill Qwen 14B

Llama 4 Scout 17B 16E Instruct Fp8 Lora

Llama 4 Maverick Instruct (17Bx128E) FP8

Llama 4 Scout (17Bx16E)

Llama 4 Scout Instruct (17Bx16E)

Qwen 2.5 Coder 32B

DeepSeek R1 Distill Qwen 32B

Qwen 2.5 32B

Qwen 3 32B

LLaVA 34B

Code Llama 34B

DeepSeek Coder 33B

Yi-34B

Qwen: Qwen3.6 35B A3B

Qwen: Qwen3.5-35B-A3B

TheDrummer: Skyfall 36B V2

Holo3 35B A3b

Deepseek Coder 33B Instruct

Qwen3.6 35B A3b Fp8

AI models on this GPU.