Nari Labs Dia2 2B speed on NVIDIA A6000 and quantization-level VRAM fit.
NVIDIA A6000 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.
NVIDIA A6000 can run Nari Labs Dia2 2B with Q4 quantization. At approximately 159 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 47GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 48GB | 158.87 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 48GB | 111.21 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 48GB | 60.37 tok/s | ✅ Fits comfortably |
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NVIDIA A6000 can run Nari Labs Dia2 2B at Q4 with an estimated 159 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while NVIDIA A6000 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.