NVIDIA H200 SXM 141GB meets the minimum VRAM requirement for Q4 inference of Alibaba-NLP/gte-Qwen2-1.5B-instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H200 SXM 141GB can run Alibaba-NLP/gte-Qwen2-1.5B-instruct with Q4 quantization. At approximately 665 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 138GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 3GB | 141GB | 664.84 tok/s | ✅ Fits comfortably |
| Q8 | 5GB | 141GB | 525.33 tok/s | ✅ Fits comfortably |
| FP16 | 11GB | 141GB | 273.98 tok/s | ✅ Fits comfortably |