Google Gemma 2B speed on AMD Instinct MI250X and quantization-level VRAM fit.
AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of Google Gemma 2B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI250X can run Google Gemma 2B with Q4 quantization. At approximately 573 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 127GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 128GB | 573.07 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 128GB | 401.15 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 128GB | 217.77 tok/s | ✅ Fits comfortably |
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AMD Instinct MI250X can run Google Gemma 2B at Q4 with an estimated 573 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while AMD Instinct MI250X has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.