Back to Calculator
Nemotron Ultra 253B
HotNVIDIA's reasoning-optimized model derived from Llama 3.1 405B via Neural Architecture Search, with toggleable reasoning mode
Model Specifications
ArchitectureTEXT
Parameters253B
Familynemotron
VRAM (Q4)126.5GB
Requires 8x H100 for inference. Reasoning ON/OFF controlled via system prompt
Estimated Quantization Sizes
| Format | Precision | Est. VRAM | Recommendation |
|---|---|---|---|
| FP16 / BF16 | 16-bit | 506.0 GB | Uncompressed Base |
| Q8_0High | 8-bit | 253.0 GB | Near Lossless |
| Q6_K | 6-bit | 189.8 GB | Excellent Balance |
| Q4_K_MPopular | 4-bit | 126.5 GB | Standard Use |
Share this Model
Send this model's specs directly to your community.
Similar Models
Related Guides
How much VRAM do you really need?
A complete breakdown of quantization levels and VRAM overhead for running local models.
Best GPUs for Machine Learning in 2026
Comparing NVIDIA and AMD options for the best speed-to-dollar ratio.
GGUF vs EXL2 vs AWQ
Understanding local AI formats and which one to pick for your specific hardware.