Deepseek AI Deepseek Coder V2 Lite Instruct speed on AMD Instinct MI300X and quantization-level VRAM fit.
AMD Instinct MI300X 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.
AMD Instinct MI300X can run Deepseek AI Deepseek Coder V2 Lite Instruct with Q4 quantization. At approximately 1145 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 191GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 192GB | 1144.89 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 192GB | 801.42 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 192GB | 435.06 tok/s | ✅ Fits comfortably |
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AMD Instinct MI300X can run Deepseek AI Deepseek Coder V2 Lite Instruct at Q4 with an estimated 1145 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while AMD Instinct MI300X has 192GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.