Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026
Yes, comfortably — you'll have ~5.7 GB of headroom running Nemotron Cascade 2 70B at Q4_K_M (42.2625 GB, ~20 tok/s (est.)) with room for up to 16K context.
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| VRAM | 48 GB |
| Memory Bandwidth | 960 GB/s |
| Quant | VRAM needed | Fits 48 GB? | Max context |
|---|---|---|---|
| F16 | 142 GB | ✗ No | — |
| Q8_0 | 76.4 GB | ✗ No | — |
| Q6_K | 59.4 GB | ✗ No | — |
| Q5_K_M | 51.6 GB | ✗ No | — |
| Q4_K_M | 44.3 GB | ✓ Yes | 16K |
| Q3_K_M | 31.8 GB | ✓ Yes | 32K |
| Q2_K | 25 GB | ✓ Yes | 64K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 48 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Nemotron Cascade 2 70B | Q4_K_M · 42.2625 GB · ~20 tok/s (est.) |
| Nemotron Cascade 2 30B | Q4_K_M · 18.1125 GB · ~42 tok/s (est.) |
At 2 hrs/day, buying (~$6,799) beats renting at $0.77/hr after about 12.3 years.
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Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
Yes, comfortably — you'll have ~5.7 GB of headroom running Nemotron Cascade 2 70B at Q4_K_M (42.2625 GB, ~20 tok/s (est.)) with room for up to 16K context.
Nemotron Cascade 2 70B at Q4_K_M quantization (42.2625 GB), estimated ~20 tokens/sec, up to 16K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Nemotron Cascade 2 70B | 42.3 GB | Runs | ~20 tok/s |
| Nemotron Cascade 2 30B | 18.1 GB | Runs | ~42 tok/s |
← Can I Run It? | Nemotron Cascade 2 Model Page | NVIDIA RTX 6000 Ada Generation GPU Page | Check Your Hardware