Vikhyatk Moondream2 speed on RTX 3090 and quantization-level VRAM fit.
RTX 3090 meets the minimum VRAM requirement for Q4 inference of Vikhyatk Moondream2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3090 can run Vikhyatk Moondream2 with Q4 quantization. At approximately 185 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 23GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 24GB | 185.02 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 24GB | 129.52 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 24GB | 70.31 tok/s | ✅ Fits comfortably |
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RTX 3090 can run Vikhyatk Moondream2 at Q4 with an estimated 185 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 3090 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.