NVIDIA H100 SXM5 80GB 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 H100 SXM5 80GB can run google/gemma-2-9b-it with Q4 quantization. At approximately 377 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 75GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 80GB | 376.93 tok/s | ✅ Fits comfortably |
| Q8 | 10GB | 80GB | 259.18 tok/s | ✅ Fits comfortably |
| FP16 | 20GB | 80GB | 153.45 tok/s | ✅ Fits comfortably |