Models › NVIDIA-Nemotron-3.5-Bolt-74B-A9B
NVIDIA-Nemotron-3.5-Bolt-74B-A9B: VRAM needs and speed by GPU
At UD-Q4_K_XL, NVIDIA-Nemotron-3.5-Bolt-74B-A9B needs about 52.9 GB of VRAM. No measured runs yet. Speeds below are estimates. Submit a run.
74.04B parameters (mixture-of-experts, ~9.0B active) · license: other · 262,144-token context · GGUF published Oct 14, 2026 · GGUF files on Hugging Face
Memory needed per quantization
| Quant | File size | Needs (estimate) | Smallest card it fits |
|---|---|---|---|
| UD-IQ1_S | 18.5 GB | 21.2 GB | 24 GB cards |
| UD-IQ1_M | 20.3 GB | 23.0 GB | 24 GB cards |
| UD-IQ2_XXS | 22.0 GB | 24.7 GB | 32 GB cards |
| IQ2_XXS | 22.0 GB | 24.7 GB | 32 GB cards |
| UD-IQ2_M | 24.6 GB | 27.3 GB | 32 GB cards |
| UD-Q2_K_XL | 28.8 GB | 31.4 GB | 32 GB cards |
| UD-IQ3_XXS | 31.6 GB | 34.2 GB | 48 GB cards |
| UD-Q3_K_XL | 39.0 GB | 41.7 GB | 48 GB cards |
| UD-Q4_K_XL | 50.2 GB | 52.9 GB | 96 GB cards |
| UD-Q5_K_XL | 58.9 GB | 61.6 GB | 96 GB cards |
| UD-Q6_K_XL | 72.4 GB | 75.0 GB | 96 GB cards |
| Q8_0 | 78.9 GB | 81.5 GB | 96 GB cards |
| BF16 | 148.2 GB | 150.9 GB | multi-GPU / large unified memory |
Expected speed on popular hardware
| Hardware | Best quant that fits | Expected tok/s |
|---|---|---|
| NVIDIA RTX 3060 | Does not fit | |
| NVIDIA RTX 4060 Ti | Does not fit | |
| NVIDIA RTX 3090 | UD-IQ1_M | 133 estimate |
| NVIDIA RTX 4090 | UD-IQ1_M | 147 estimate |
| NVIDIA RTX 5090 | UD-IQ2_M | 192 estimate |
| AMD Radeon RX 7900 XTX | UD-IQ1_M | 148 estimate |
| Apple M4 Pro (20-core GPU) (64 GB) | UD-IQ3_XXS | 30.2 estimate |
| Apple M3 Max (40-core GPU) (64 GB) | UD-IQ3_XXS | 44.0 estimate |
| AMD Ryzen AI Max+ 395 (Radeon 8060S) | Q8_0 | 10.8 estimate |
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