Can I Run Qwen 3 Coder on a NVIDIA DGX Station (Blackwell Ultra)?
Runs at Q8_0 — near-lossless quality.
4 quantizations fit your 784GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| Q8_0BEST | 511.0 GB | 512.5 GB | 510.0 GB | +273.0 GB |
| Q6_K | 396.4 GB | 397.9 GB | 395.4 GB | +387.6 GB |
| Q5_K_M | 341.8 GB | 343.3 GB | 340.8 GB | +442.2 GB |
| Q4_K_M | 292.0 GB | 293.5 GB | 291.0 GB | +492.0 GB |
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Top-ranked open-source models that fit in 784GB.
FAQ
Can the NVIDIA DGX Station (Blackwell Ultra) run Qwen 3 Coder?
Yes. The NVIDIA DGX Station (Blackwell Ultra)'s 784GB of unified memory is enough to run Qwen 3 Coder at Q8_0 quantization (511.0GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 784GB. It uses about 511.0GB of memory and 512.5GB 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.