Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit speed on NVIDIA H100 PCIe 80GB and quantization-level VRAM fit.
NVIDIA H100 PCIe 80GB meets the minimum VRAM requirement for Q4 inference of Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA H100 PCIe 80GB can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit with Q4 quantization. At approximately 393 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 | 392.83 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 80GB | 274.98 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 80GB | 149.28 tok/s | ✅ Fits comfortably |
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NVIDIA H100 PCIe 80GB can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 8bit at Q4 with an estimated 393 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while NVIDIA H100 PCIe 80GB has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.