Can I Run DeepSeek R1 0528 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 | 728.8 GB | 730.3 GB | 727.8 GB | +55.2 GB |
| Q6_K | 565.3 GB | 566.8 GB | 564.3 GB | +218.7 GB |
| Q5_K_M | 487.4 GB | 488.9 GB | 486.4 GB | +296.6 GB |
| Q4_K_M | 416.3 GB | 417.8 GB | 415.3 GB | +367.7 GB |
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Top-ranked open-source models that fit in 784GB.
FAQ
Can the NVIDIA DGX Station (Blackwell Ultra) run DeepSeek R1 0528?
Yes. The NVIDIA DGX Station (Blackwell Ultra)'s 784GB of unified memory is enough to run DeepSeek R1 0528 at Q8_0 quantization (728.8GB required).
What's the best quantization to use?
Q8_0 is the highest-precision quantization that fits in your 784GB. It uses about 728.8GB of memory and 730.3GB 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.