NVIDIA RTX 6000 Ada 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 RTX 6000 Ada can run google/gemma-2-27b-it with Q4 quantization. At approximately 98 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 34GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 14GB | 48GB | 97.66 tok/s | ✅ Fits comfortably |
| Q8 | 28GB | 48GB | 71.80 tok/s | ✅ Fits comfortably |
| FP16 | 56GB | 48GB | 33.84 tok/s | ❌ Not recommended |