Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 4bit speed on NVIDIA L40 and quantization-level VRAM fit.
NVIDIA L40 meets the minimum VRAM requirement for Q4 inference of Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 4bit. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40 can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 4bit with Q4 quantization. At approximately 207 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 44GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 48GB | 207.05 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 48GB | 144.93 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 48GB | 78.68 tok/s | ✅ Fits comfortably |
Check current pricing links for NVIDIA L40 and similar cards.
Open NVIDIA L40 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 →Rent cloud GPUs by the hour — no upfront hardware cost.
NVIDIA L40 can run Lmstudio Community Deepseek R1 0528 Qwen3 8B Mlx 4bit at Q4 with an estimated 207 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while NVIDIA L40 has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.