NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of google/gemma-2-9b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run google/gemma-2-9b-it with Q4 quantization. At approximately 134 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 43GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 48GB | 133.51 tok/s | ✅ Fits comfortably |
| Q8 | 10GB | 48GB | 86.27 tok/s | ✅ Fits comfortably |
| FP16 | 20GB | 48GB | 55.74 tok/s | ✅ Fits comfortably |