NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of google/gemma-2-27b-it. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 40GB PCIe can run google/gemma-2-27b-it with Q4 quantization. At approximately 116 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 26GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 14GB | 40GB | 116.28 tok/s | ✅ Fits comfortably |
| Q8 | 28GB | 40GB | 79.55 tok/s | ✅ Fits comfortably |
| FP16 | 56GB | 40GB | 49.75 tok/s | ❌ Not recommended |