NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16: hardware requirements
NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16 needs about 390 GB of memory at Q4 quantization — a 345 GB download plus room for context and overhead. That is beyond consumer hardware; use it through an API instead.
This is a mixture-of-experts model. Only a fraction of its 561B parameters are used for each token, so it runs faster than its size suggests — but all of it still has to fit in memory. The speed is that of a small model; the memory requirement is that of a large one. More on this →
Will it run on your machine?
Download sizes by quantization
Lower quantization means a smaller file and less memory, at some cost to quality. Q4_K_M is the usual starting point. What is this?
| Quant | Download | RAM @ 4K | RAM @ 32K | Source |
|---|---|---|---|---|
| Q4_K_Mrecommended | 345 GB | 390 GB | 390 GB | measured |
| Q5_K_M | 397 GB | 447 GB | 447 GB | measured |
| Q6_K | 451 GB | 509 GB | 509 GB | measured |
| Q8_0 | 584 GB | 658 GB | 658 GB | measured |
| BF16 | 1121 GB | 1259 GB | 1259 GB | estimated |
“Measured” sizes are read from published GGUF files (DevQuasar/nvidia.NVIDIA-Nemotron-3-Ultra-550B-A55B-BF16-GGUF). “Estimated” sizes are derived from the parameter count and are typically within a few percent. The RAM columns add the context cache and runtime overhead to the download size.