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NVIDIAAmpere

Best AI Models for NVIDIA GeForce RTX 3090 Ti (24.0GB)

VRAM:24.0 GB GDDR6X·Bandwidth:1008.0 GB/s·CUDA Cores:10,752·TDP:450W·MSRP:$1,999

24 GB is the enthusiast tier for running AI models locally. It comfortably handles 7B–13B models at high quality and opens the door to larger 30B models at moderate quantization.

This is one of the most popular memory tiers for local AI, found in GPUs like the RTX 4090 and RTX 3090. You can run Llama 3 8B, Mistral 7B, and Qwen 2.5 7B at Q5_K_M or Q6_K quality with fast token generation and generous context windows. Larger 14B models like DeepSeek R1 Distill fit comfortably at Q4_K_M. For even bigger models, 30B class runs at Q2–Q3, but 70B models are generally too heavy for single-GPU inference at this tier.

Runs Well

  • 7B models (Llama 3 8B, Mistral 7B) at Q5–Q8 quality
  • 13B–14B models at Q4–Q5 quality
  • Small models (3B–4B) at FP16 precision
  • Multimodal models like LLaVA 7B

Challenging

  • 30B models only at Q2–Q3 quantization
  • 70B models do not fit in VRAM
  • Large context windows with 14B+ models

What LLMs Can NVIDIA GeForce RTX 3090 Ti Run?

105 models · 7 excellent · 15 good

Showing compatibility for NVIDIA GeForce RTX 3090 Ti

LLM models compatible with NVIDIA GeForce RTX 3090 Ti — ranked by performance
ModelVRAMGrade
Qwen2.5 Coder 32B Instruct32.8B
Q4_K_M·32.0 t/s tok/s·33K ctx·GOOD FIT
20.5 GBA70
DeepSeek R1 Distill Qwen 32B32.8B
Q4_K_M·32.0 t/s tok/s·131K ctx·GOOD FIT
20.5 GBA70
QwQ 32B32.8B
Q4_K_M·32.0 t/s tok/s·41K ctx·GOOD FIT
20.5 GBA70
Phi 414.7B
Q4_K_M·68.8 t/s tok/s·16K ctx·FAIR FIT
9.5 GBB55
Qwen1.5 32B Chat32.5B
Q4_K_M·32.2 t/s tok/s·33K ctx·GOOD FIT
20.3 GBA70
Qwen1.5 32B32.5B
Q4_K_M·32.2 t/s tok/s·33K ctx·GOOD FIT
20.3 GBA70
Gemma 4 31B IT32.7B
Q4_K_M·30.9 t/s tok/s·262K ctx·FAIR FIT
21.2 GBB60
Qwen1.5 14B14.2B
Q4_K_M·62.5 t/s tok/s·33K ctx·FAIR FIT
10.5 GBB59
Qwen2.5 Coder 32B32.8B
Q4_K_M·32.0 t/s tok/s·33K ctx·GOOD FIT
20.5 GBA70
Gemma 3 12B IT12.2B
Q4_K_M·81.5 t/s tok/s·33K ctx·FAIR FIT
8.0 GBB49
Gemma 4 12B IT12.0B
Q4_K_M·79.6 t/s tok/s·262K ctx·FAIR FIT
8.2 GBB49
Phi 4 Reasoning14.7B
Q4_K_M·68.8 t/s tok/s·33K ctx·FAIR FIT
9.5 GBB55
Mistral Nemo Instruct 240712.2B
Q4_K_M·81.2 t/s tok/s·131K ctx·FAIR FIT
8.1 GBB49
Llama 2 13B Chat HF13.0B
Q4_K_M·76.3 t/s tok/s·FAIR FIT
8.6 GBB51
Llama 2 13B HF13.0B
Q4_K_M·76.3 t/s tok/s·FAIR FIT
8.6 GBB51
Deepseek Coder 33B Instruct33.3B
Q4_K_M·31.5 t/s tok/s·16K ctx·FAIR FIT
20.8 GBB63

NVIDIA GeForce RTX 3090 Ti Specifications

Brand
NVIDIA
Architecture
Ampere
Compute Capability
8.6 (CUDA SM version)
VRAM
24.0 GB GDDR6X
Memory Bandwidth
1008.0 GB/s
CUDA Cores
10,752
Tensor Cores
336
FP16 Performance
80.00 TFLOPS
TDP
450W
Release Date
2022-03-29
MSRP
$1,999

Get Started

Ollama (Recommended)

$curl -fsSL https://ollama.com/install.sh | sh
$ollama run llama3:8b

LM Studio

LM Studio

Download LM Studio, search for a model, and run it with one click.

GPUs to Consider Over NVIDIA GeForce RTX 3090 Ti

Similar GPUs and upgrades with more VRAM or higher bandwidth for AI

NVIDIA GeForce RTX 5090

NVIDIA · Blackwell

32 GB
1792.0 GB/s21,760 CUDA575W TDP$1,999

NVIDIA A100 40GB PCIe

NVIDIA · Ampere

40 GB
1555.0 GB/s6,912 CUDA250W TDP

NVIDIA RTX 6000 Ada Generation

NVIDIA · Ada Lovelace

48 GB
960.0 GB/s18,176 CUDA300W TDP$6,799

NVIDIA V100 SXM2 32GB

NVIDIA · Volta

32 GB
900.0 GB/s5,120 CUDA300W TDP

NVIDIA RTX PRO 4500 Blackwell

NVIDIA · Blackwell

32 GB
896.0 GB/s10,496 CUDA200W TDP$2,600

AMD Radeon PRO W7900

AMD · RDNA 3

48 GB
864.0 GB/s6,144 SP295W TDP$3,999
All GPUs with 24+ GB VRAM →

Frequently Asked Questions

Can NVIDIA GeForce RTX 3090 Ti run Qwen3.6 27B?

Yes, the NVIDIA GeForce RTX 3090 Ti with 24 GB can run Qwen3.6 27B, Gemma 3 27B IT, Gemma 4 26B A4B IT, and 1264 other models. 69 models run at excellent quality, and 153 at good quality. Check the compatibility table above for the full list with VRAM usage and estimated speed.

Is NVIDIA GeForce RTX 3090 Ti good for AI?

The NVIDIA GeForce RTX 3090 Ti has 24 GB of GDDR6X, making it excellent for running local AI models. It supports 222 models at good quality or better. With 1008.0 GB/s memory bandwidth, it delivers fast token generation speeds. This is an enthusiast-grade GPU that handles most popular open-source LLMs.

How many parameters can NVIDIA GeForce RTX 3090 Ti handle?

With 24 GB, the NVIDIA GeForce RTX 3090 Ti supports models from 3B to 30B parameters depending on quantization level. At Q4_K_M (the recommended sweet spot), you can fit roughly 40B parameters. This means 7B models at high quality (Q6/Q8) or 30B+ models at Q4.

What quantization should I use on NVIDIA GeForce RTX 3090 Ti?

For the best balance of quality and speed on the NVIDIA GeForce RTX 3090 Ti, start with Q4_K_M — it preserves ~85% of the original model quality while keeping VRAM usage reasonable. With 24+ GB, you have the headroom to run 7B models at Q5_K_M or even Q6_K for noticeably better output quality. For larger 30B models, Q4_K_M remains the sweet spot.

How fast is NVIDIA GeForce RTX 3090 Ti for AI inference?

With 1008.0 GB/s memory bandwidth, the NVIDIA GeForce RTX 3090 Ti achieves approximately 146 tokens/sec on a 7B model at Q4_K_M — that's very fast, well above conversational speed. A 14B model runs at ~73 tok/s. Token generation speed scales inversely with model size — smaller models are significantly faster.

tok/s = (1008 GB/s ÷ model GB) × efficiency

Smaller models = faster inference. Memory bandwidth is the main bottleneck for token generation speed.

Estimated speed on NVIDIA GeForce RTX 3090 Ti

~38 tok/s
~36 tok/s
~40 tok/s
~37 tok/s

Real-world results typically within ±20%. Speed depends on quantization kernel, batch size, and software stack.

Learn more about tok/s estimation →

What's the best model for NVIDIA GeForce RTX 3090 Ti?

The top-rated models for the NVIDIA GeForce RTX 3090 Ti are Qwen3.6 27B, Gemma 3 27B IT, Gemma 4 26B A4B IT. The best choice depends on your use case: coding assistants benefit from code-tuned models, while general chat works well with instruction-tuned models like Llama or Qwen.

What power supply and cooling does NVIDIA GeForce RTX 3090 Ti need?

The NVIDIA GeForce RTX 3090 Ti has a TDP of 450 W. A good rule of thumb is to provide at least double the GPU's TDP to cover the rest of the system — that means a 1000 W PSU or larger. At this power level, a high-airflow case matters: aim for at least two front intake fans and one rear exhaust, with tidy cabling so hot air isn't trapped around the card. LLM inference sustains full GPU load continuously — longer and more consistently than most gaming workloads — so also make sure your CPU cooler can keep up under combined load.