NVIDIA L40S 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 L40S can run google/gemma-2-9b-it with Q4 quantization. At approximately 129 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 | 129.05 tok/s | ✅ Fits comfortably |
| Q8 | 10GB | 48GB | 93.58 tok/s | ✅ Fits comfortably |
| FP16 | 20GB | 48GB | 49.68 tok/s | ✅ Fits comfortably |