Can I Run Qwen3 Next 80B A3B Thinking on a NVIDIA RTX PRO 5000 Blackwell?
Runs at Q4_K_S — good quality with reasonable headroom.
5 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q4_K_SBEST | 47.5 GB | 49.0 GB | 45.5 GB | +0.5 GB |
| Q4_0 | 46.7 GB | 48.2 GB | 45.3 GB | +1.3 GB |
| Q3_K_M | 35.0 GB | 36.5 GB | 38.3 GB | +13.0 GB |
| Q3_K_S | 32.3 GB | 33.8 GB | 34.6 GB | +15.7 GB |
| Q2_K | 27.7 GB | 29.2 GB | 29.2 GB | +20.3 GB |
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FAQ
Can the NVIDIA RTX PRO 5000 Blackwell run Qwen3 Next 80B A3B Thinking?
Yes. The NVIDIA RTX PRO 5000 Blackwell's 48.0GB of VRAM is enough to run Qwen3 Next 80B A3B Thinking at Q4_K_S quantization (47.5GB required).
What's the best quantization to use?
Q4_K_S is the highest-precision quantization that fits in your 48.0GB. It uses about 47.5GB of memory and 49.0GB recommended for comfortable inference.
What if I need more headroom for context length?
KV cache memory grows with context length. The numbers above assume a baseline 2K-4K context. For long-context use (32K+), add another 2-6GB depending on the model architecture.