Can I Run Nemotron 3 Ultra 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 | 585.4 GB | 586.9 GB | 584.4 GB | +198.6 GB |
| Q6_K | 454.1 GB | 455.6 GB | 453.1 GB | +329.9 GB |
| Q5_K_M | 391.5 GB | 393.0 GB | 390.5 GB | +392.5 GB |
| Q4_K_M | 334.4 GB | 335.9 GB | 333.4 GB | +449.6 GB |
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All quant variants, benchmark scores, and use-case tags.
Top-ranked open-source models that fit in 784GB.
FAQ
Can the NVIDIA DGX Station (Blackwell Ultra) run Nemotron 3 Ultra?
Yes. The NVIDIA DGX Station (Blackwell Ultra)'s 784GB of unified memory is enough to run Nemotron 3 Ultra at Q8_0 quantization (585.4GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 784GB. It uses about 585.4GB of memory and 586.9GB 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.