Petals Team Stablebeluga2 speed on AMD Radeon Pro W7900 and quantization-level VRAM fit.
AMD Radeon Pro W7900 meets the minimum VRAM requirement for Q4 inference of Petals Team Stablebeluga2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Radeon Pro W7900 can run Petals Team Stablebeluga2 with Q4 quantization. At approximately 175 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 47GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 48GB | 174.54 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 48GB | 122.17 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 48GB | 66.32 tok/s | ✅ Fits comfortably |
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AMD Radeon Pro W7900 can run Petals Team Stablebeluga2 at Q4 with an estimated 175 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while AMD Radeon Pro W7900 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.