Google Gemma 2 9B It speed on AMD Instinct MI300X and quantization-level VRAM fit.
AMD Instinct MI300X 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 Instinct MI300X can run Google Gemma 2 9B It with Q4 quantization. At approximately 572 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 187GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 5GB | 192GB | 572.44 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 192GB | 400.71 tok/s | ✅ Fits comfortably |
| FP16 | 18GB | 192GB | 217.53 tok/s | ✅ Fits comfortably |
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AMD Instinct MI300X can run Google Gemma 2 9B It at Q4 with an estimated 572 tok/s.
Q4 inference is estimated to need about 5GB VRAM on this page, while AMD Instinct MI300X has 192GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.