NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H200 SXM 141GB can run RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic with Q4 quantization. At approximately 235 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 107GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 141GB | 235.03 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 141GB | 157.83 tok/s | ✅ Fits comfortably |
| FP16 | 137GB | 141GB | 86.75 tok/s | ✅ Fits comfortably |