RTX 5090 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.
RTX 5090 can run google/gemma-2-2b-it with Q4 quantization. At approximately 390 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 31GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 32GB | 390.12 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 32GB | 255.58 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 32GB | 145.39 tok/s | ✅ Fits comfortably |