NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of zai-org/GLM-OCR. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run zai-org/GLM-OCR with Q4 quantization. At approximately 499 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 | 498.75 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 80GB | 317.89 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 80GB | 175.95 tok/s | ✅ Fits comfortably |