NVIDIA RTX 6000 Ada meets the minimum VRAM requirement for Q4 inference of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA RTX 6000 Ada can run deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct with Q4 quantization. At approximately 175 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 44GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 48GB | 175.33 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 48GB | 128.55 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 48GB | 70.08 tok/s | ✅ Fits comfortably |