Google Gemma 2 9B 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 9B 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 9B It with Q4 quantization. At approximately 27 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 123GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 128GB | 27.37 tok/s | ✅ Fits comfortably |
| Q8 | 10GB | 128GB | 19.16 tok/s | ✅ Fits comfortably |
| FP16 | 19GB | 128GB | 10.40 tok/s | ✅ Fits comfortably |
Need a GPU with 5GB+ VRAM? These guides match your requirements.
Check current pricing links for AMD Ryzen AI Max+ 395 and similar cards.
Open AMD Ryzen AI Max+ 395 buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →Rent cloud GPUs by the hour — no upfront hardware cost.
AMD Ryzen AI Max+ 395 can run Google Gemma 2 9B It at Q4 with an estimated 27 tok/s.
Q4 inference is estimated to need about 5GB 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.