NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of bigscience/bloomz-560m. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run bigscience/bloomz-560m with Q4 quantization. At approximately 473 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 76GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 80GB | 472.55 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 80GB | 346.76 tok/s | ✅ Fits comfortably |
| FP16 | 15GB | 80GB | 180.62 tok/s | ✅ Fits comfortably |