NVIDIA NVIDIA Nemotron Nano 9B V2 speed on RTX 4090 and quantization-level VRAM fit.
RTX 4090 meets the minimum VRAM requirement for Q4 inference of NVIDIA NVIDIA Nemotron Nano 9B V2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run NVIDIA NVIDIA Nemotron Nano 9B V2 with Q4 quantization. At approximately 135 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 19GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 24GB | 135.00 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 24GB | 94.50 tok/s | ✅ Fits comfortably |
| FP16 | 18GB | 24GB | 51.30 tok/s | ✅ Fits comfortably |
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Compare prebuilt systems →RTX 4090 can run NVIDIA NVIDIA Nemotron Nano 9B V2 at Q4 with an estimated 135 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while RTX 4090 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.