NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-Base. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run GSAI-ML/LLaDA-8B-Base with Q4 quantization. At approximately 518 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 | 517.79 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 80GB | 362.85 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 80GB | 175.31 tok/s | ✅ Fits comfortably |