Google Gemma 2 27B It speed on AMD Ryzen AI Max+ 395 and quantization-level VRAM fit.
AMD Ryzen AI Max+ 395 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 Ryzen AI Max+ 395 can run Google Gemma 2 27B It with Q4 quantization. At approximately 20 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 114GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 14GB | 128GB | 20.07 tok/s | ✅ Fits comfortably |
| Q8 | 28GB | 128GB | 14.05 tok/s | ✅ Fits comfortably |
| FP16 | 55GB | 128GB | 7.63 tok/s | ✅ Fits comfortably |
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AMD Ryzen AI Max+ 395 can run Google Gemma 2 27B It at Q4 with an estimated 20 tok/s.
Q4 inference is estimated to need about 14GB VRAM on this page, while AMD Ryzen AI Max+ 395 has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.