RTX 4090 meets the minimum VRAM requirement for Q4 inference of nari-labs/Dia2-2B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run nari-labs/Dia2-2B with Q4 quantization. At approximately 227 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 22GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 24GB | 227.28 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 24GB | 136.99 tok/s | ✅ Fits comfortably |
| FP16 | 5GB | 24GB | 80.53 tok/s | ✅ Fits comfortably |