Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
How much GPU VRAM you need to run Nemotron Cascade 2 Nemotron Cascade 2 70B by NVIDIA locally, a 70B-parameter model. Figures are quantized weights + KV cache + framework overhead from a memory-bandwidth roofline model.
Nemotron Cascade 2 70B needs about 43 GB VRAM at Q4_K_M.
| Quant | Bits/weight | Weights | Total VRAM |
|---|---|---|---|
| Q2_K | 2.63 | 23.0 GB | 23.8 GB |
| Q3_K_M | 3.41 | 29.8 GB | 30.6 GB |
| Q4_K_M | 4.83 | 42.3 GB | 43.1 GB |
| Q5_K_M | 5.67 | 49.6 GB | 50.4 GB |
| Q6_K | 6.56 | 57.4 GB | 58.2 GB |
| Q8_0 | 8.50 | 74.4 GB | 75.2 GB |
| F16 | 16.00 | 140.0 GB | 140.8 GB |
Switch quantization in the interactive calculator, or see the full Nemotron Cascade 2 model page.
Model creators: paste this into your Hugging Face model card README to link readers straight to this VRAM breakdown.
[](https://llmconfigurator.com/en/vram-calculator/nemotron-cascade-2-70b)
Estimates only — actual VRAM varies with context length, batch size, runtime and KV-cache settings.