NVIDIA H100 SXM5 80GB meets the minimum VRAM requirement for Q4 inference of apple/OpenELM-1_1B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 SXM5 80GB can run apple/OpenELM-1_1B-Instruct with Q4 quantization. At approximately 576 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 79GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 80GB | 576.47 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 80GB | 407.29 tok/s | ✅ Fits comfortably |
| FP16 | 2GB | 80GB | 237.54 tok/s | ✅ Fits comfortably |