Petals Team Stablebeluga2 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 Petals Team Stablebeluga2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Ryzen AI Max+ 395 can run Petals Team Stablebeluga2 with Q4 quantization. At approximately 44 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 127GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 128GB | 43.79 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 128GB | 30.66 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 128GB | 16.64 tok/s | ✅ Fits comfortably |
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AMD Ryzen AI Max+ 395 can run Petals Team Stablebeluga2 at Q4 with an estimated 44 tok/s.
Q4 inference is estimated to need about 1GB 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.