Can I Run NVIDIA Nemotron 3 Super on a NVIDIA DGX Station (Blackwell Ultra)?
Runs at full precision (fp16). Zero quality loss.
5 quantizations fit your 784GB
| Quant | Min VRAM | Recommended | File size | Headroom |
|---|---|---|---|---|
| fp16BEST | 681.0 GB | 682.5 GB | 680.0 GB | +103.0 GB |
| Q8_0 | 362.3 GB | 363.8 GB | 361.3 GB | +421.8 GB |
| Q6_K | 281.1 GB | 282.6 GB | 280.1 GB | +502.9 GB |
| Q5_K_M | 242.4 GB | 243.9 GB | 241.4 GB | +541.6 GB |
| Q4_K_M | 207.1 GB | 208.6 GB | 206.1 GB | +576.9 GB |
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Top-ranked open-source models that fit in 784GB.
FAQ
Can the NVIDIA DGX Station (Blackwell Ultra) run NVIDIA Nemotron 3 Super?
Yes. The NVIDIA DGX Station (Blackwell Ultra)'s 784GB of unified memory is enough to run NVIDIA Nemotron 3 Super at fp16 quantization (681.0GB required).
What's the best quantization to use?
fp16 is the highest-precision quantization that fits in your 784GB. It uses about 681.0GB of memory and 682.5GB 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.