Microsoft Phi 2 speed on AMD Instinct MI210 and quantization-level VRAM fit.
AMD Instinct MI210 meets the minimum VRAM requirement for Q4 inference of Microsoft Phi 2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI210 can run Microsoft Phi 2 with Q4 quantization. At approximately 285 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 63GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 64GB | 285.19 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 64GB | 199.63 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 64GB | 108.37 tok/s | ✅ Fits comfortably |
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AMD Instinct MI210 can run Microsoft Phi 2 at Q4 with an estimated 285 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while AMD Instinct MI210 has 64GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.