Petals Team Stablebeluga2 speed on NVIDIA A4000 and quantization-level VRAM fit.
NVIDIA A4000 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.
NVIDIA A4000 can run Petals Team Stablebeluga2 with Q4 quantization. At approximately 92 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 92.25 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 16GB | 64.58 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 16GB | 35.05 tok/s | ✅ Fits comfortably |
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NVIDIA A4000 can run Petals Team Stablebeluga2 at Q4 with an estimated 92 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while NVIDIA A4000 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.