Can I Run Qwen 3.6 35B A3B on a NVIDIA RTX PRO 5000 Blackwell?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 48.0GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 38.2 GB | 39.7 GB | 37.2 GB | +9.8 GB |
| Q6_K | 29.8 GB | 31.3 GB | 28.8 GB | +18.2 GB |
| Q5_K_M | 25.9 GB | 27.4 GB | 24.9 GB | +22.1 GB |
| Q4_K_M | 22.2 GB | 23.7 GB | 21.2 GB | +25.8 GB |
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Top-ranked open-source models that fit in 48.0GB.
FAQ
Can the NVIDIA RTX PRO 5000 Blackwell run Qwen 3.6 35B A3B?
Yes. The NVIDIA RTX PRO 5000 Blackwell's 48.0GB of VRAM is enough to run Qwen 3.6 35B A3B at Q8_0 quantization (38.2GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 48.0GB. It uses about 38.2GB of memory and 39.7GB 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.