Can the RTX 4090 run Nemotron 3.5 Super VL?
No. Nemotron 3.5 Super VL needs about 39.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4090 has 24 GB, so it won't fit without offloading layers to system RAM, which is far slower.
Every quantization
Nemotron 3.5 Super VL (65.8B) on 24 GB
| Quant | Weights | Needs | Fit | Est. speed |
|---|---|---|---|---|
| Q4_K_M | 38 GB | 39.8 GB | Too big | - |
| Q5_K_M | 47 GB | 48.8 GB | Too big | - |
| Q8_0 | 70 GB | 71.8 GB | Too big | - |
| FP16 | 132 GB | 133.8 GB | Too big | - |
Estimates. Needs = weights + 1.8 GB for KV cache and runtime at modest context. Speed is single-stream decode scaled from the RTX 4090's 1008 GB/s bandwidth (XiongjieDai/GPU-Benchmarks-on-LLM-Inference). Long contexts need more memory and run slower.
What to do instead
Two ways forward
Cheapest cards that run it
- NVIDIA RTX A6000 - 48 GB, ~$3,299
- Mac Studio M4 Ultra - 192 GB, ~$4,699
- NVIDIA RTX 6000 Ada Generation - 48 GB, ~$5,800
- NVIDIA L40S - 48 GB, ~$8,500
Models that fit the RTX 4090
- Qwen3-Coder-30B-A3B-Instruct - 30.5B, 18 GB at Q4
- Qwen3.6 27B - 28B, 16 GB at Q4
- Qwen3.8 27B - 27.8B, 16 GB at Q4
- Gemma 4 26B A4B - 26.5B, 15 GB at Q4
Compare
Same model, other hardware - and other models on this card
Nemotron 3.5 Super VL on other hardware
- RTX 6000D~24 tok/s
- MacBook Pro 16" M4 Max~8.2 tok/s
- DGX Spark (GB10)~4.1 tok/s
- RTX Spark N1X (128 GB)~4.1 tok/s
Also runs on the RTX 4090
- Qwen3-Coder-30B-A3B-Instruct~236 tok/s
- Qwen3-30B-A3B-Instruct-2507~236 tok/s
- Qwen3.6 27B~39 tok/s
- Qwen3.8 27B~39 tok/s
- Gemma 4 26B A4B~184 tok/s
- gpt-oss-20b~208 tok/s
- Nemotron 3.5 Lightning~63 tok/s
- Qwen2.5-Coder-14B-Instruct~70 tok/s
Frequently asked
Quick answers
Can the NVIDIA RTX 4090 run Nemotron 3.5 Super VL?
No. Nemotron 3.5 Super VL needs about 39.8 GB at Q4_K_M (weights plus 1.8 GB runtime overhead), and the RTX 4090 has 24 GB, so it won't fit without offloading layers to system RAM, which is far slower.
How much VRAM does Nemotron 3.5 Super VL need?
About 38 GB of weights at Q4_K_M, 70 GB at Q8_0 and 132 GB at FP16. Add roughly 1.8 GB for the KV cache and runtime at modest context lengths.
How fast is Nemotron 3.5 Super VL on the RTX 4090?
It doesn't fit in the RTX 4090's memory, so speed depends on how many layers you offload to system RAM - typically single-digit tokens per second or lower.