Qwen Qwen3 30B A3b Instruct 2507 speed on NVIDIA A4000 and quantization-level VRAM fit.
NVIDIA A4000 meets the minimum VRAM requirement for Q4 inference of Qwen Qwen3 30B A3b Instruct 2507. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A4000 can run Qwen Qwen3 30B A3b Instruct 2507 with Q4 quantization. At approximately 92 tokens/second, you can expect Good speed - acceptable for interactive use.
VRAM usage will be very close to your GPU's limit. Consider closing other applications or using Q3 quantization for more margin.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 16GB | 16GB | 92.25 tok/s | ⚠️ Tight fit |
| Q8 | 31GB | 16GB | 64.58 tok/s | ❌ Not recommended |
| FP16 | 62GB | 16GB | 35.05 tok/s | ❌ Not recommended |
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NVIDIA A4000 can run Qwen Qwen3 30B A3b Instruct 2507 at Q4 with an estimated 92 tok/s.
Q4 inference is estimated to need about 16GB VRAM on this page, while NVIDIA A4000 has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.