Zai Org Glm 5 speed on NVIDIA H100 SXM5 80GB and quantization-level VRAM fit.
NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of Zai Org Glm 5. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run Zai Org Glm 5 with Q4 quantization. At approximately 495 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 | 495.07 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 80GB | 346.55 tok/s | ✅ Fits comfortably |
| FP16 | 14GB | 80GB | 188.13 tok/s | ✅ Fits comfortably |
Check current pricing links for NVIDIA H100 SXM5 80GB and similar cards.
Open NVIDIA H100 SXM5 80GB buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →NVIDIA H100 SXM5 80GB can run Zai Org Glm 5 at Q4 with an estimated 495 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while NVIDIA H100 SXM5 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.