NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of google/gemma-2-2b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 40GB PCIe can run google/gemma-2-2b-it with Q4 quantization. At approximately 247 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 39GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 40GB | 246.85 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 40GB | 208.41 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 40GB | 100.92 tok/s | ✅ Fits comfortably |