RTX 4090 meets the minimum VRAM requirement for Q4 inference of moonshotai/Kimi-K2.5. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 4090 can run moonshotai/Kimi-K2.5 with Q4 quantization. At approximately 197 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 20GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 24GB | 197.05 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 24GB | 123.25 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 24GB | 70.07 tok/s | ✅ Fits comfortably |