Google Gemma 2 27B It speed on AMD Instinct MI210 and quantization-level VRAM fit.
AMD Instinct MI210 meets the minimum VRAM requirement for Q4 inference of Google Gemma 2 27B It. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI210 can run Google Gemma 2 27B It with Q4 quantization. At approximately 131 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 50GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 14GB | 64GB | 130.71 tok/s | ✅ Fits comfortably |
| Q8 | 27GB | 64GB | 91.50 tok/s | ✅ Fits comfortably |
| FP16 | 54GB | 64GB | 49.67 tok/s | ✅ Fits comfortably |
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AMD Instinct MI210 can run Google Gemma 2 27B It at Q4 with an estimated 131 tok/s.
Q4 inference is estimated to need about 14GB 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.