▸ DEVICE UNDER TEST
NVIDIA RTX 4090 — 24 GB VRAM.
▸ RTX 4090 SPEC
- BRAND
- NVIDIA
- VRAM
- 24 GB GDDR6X
- BANDWIDTH
- 1008 GB/s
- FP16 COMPUTE
- 165 TFLOPS
- FP32 COMPUTE
- 82.6 TFLOPS
- CUDA CORES
- 16,384
- TENSOR CORES
- 512
- TDP
- 450 W
- ARCHITECTURE
- Ada Lovelace
- MSRP
- $1599
▸ AI CAPABILITY
330/ 449 models @ Q4
With 24 GB VRAM and 1008 GB/s bandwidth, this GPU handles models up to 34.4B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~115 tok/s.
§ 01TOP MODELS FOR RTX 4090
330 FIT · SHOWING 20| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| Nous Capybara 34B | 34.4B | 21.5 GB | 23 | 42.0 |
| Yi-1.5 34B | 34.4B | 21.5 GB | 23 | 45.3 |
| Falcon-H1 34B | 34B | 21.3 GB | 24 | 66.1 |
| CodeLlama 34B | 34B | 21.3 GB | 24 | 25.4 |
| Nous Hermes 2 34B | 34B | 21.3 GB | 24 | 47.0 |
| Phind CodeLlama 34B | 34B | 21.3 GB | 24 | 68.1 |
| LLaVA-1.6 Yi 34B | 34B | 21.3 GB | 24 | 47.4 |
| WizardCoder Python 34B | 34B | 21.3 GB | 24 | 73.2 |
| Yi 34B | 34B | 21.3 GB | 24 | 33.4 |
| Qwen3-VL 32B Instruct | 33.36B | 20.9 GB | 24 | 44.6 |
| DeepSeek Coder 33B | 33B | 20.7 GB | 24 | 26.0 |
| Vicuna 33B | 33B | 20.7 GB | 24 | 17.2 |
| LLaMA 1 30B | 33B | 20.7 GB | 24 | 17.8 |
| DeepSeek-R1-Distill-Qwen-32B | 32.8B | 20.5 GB | 25 | 46.9 |
| Qwen3 32B | 32.8B | 20.5 GB | 25 | 54.9 |
| Gemma 4 31B | 32.68B | 20.5 GB | 25 | 53.7 |
| Qwen2.5-32B | 32.5B | 20.4 GB | 25 | 54.3 |
| Qwen 2.5 Coder 32B | 32.5B | 20.4 GB | 25 | 48.0 |
| QwQ-32B | 32.5B | 20.4 GB | 25 | 43.7 |
| Granite Switch 4.1 30B Preview | 32.24B | 20.2 GB | 25 | 36.1 |