Google Gemma 2 27B It speed on AMD Radeon Pro W7800 and quantization-level VRAM fit.
AMD Radeon Pro W7800 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 Radeon Pro W7800 can run Google Gemma 2 27B It with Q4 quantization. At approximately 49 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 18GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 14GB | 32GB | 49.20 tok/s | ✅ Fits comfortably |
| Q8 | 28GB | 32GB | 34.44 tok/s | ✅ Fits comfortably |
| FP16 | 55GB | 32GB | 18.69 tok/s | ❌ Not recommended |
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AMD Radeon Pro W7800 can run Google Gemma 2 27B It at Q4 with an estimated 49 tok/s.
Q4 inference is estimated to need about 14GB VRAM on this page, while AMD Radeon Pro W7800 has 32GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.