Written by Jakub Rusinowski · Last updated July 12, 2026
Yes, comfortably — you'll have ~5.9 GB of headroom running Nemotron Cascade 2 30B at Q4_K_M (18.1125 GB, ~29 tok/s (est.)) with room for up to 16K context.
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| VRAM | 24 GB |
| Memory Bandwidth | 936 GB/s |
| Quant | VRAM needed | Fits 24 GB? | Max context |
|---|---|---|---|
| F16 | 61.7 GB | ✗ No | — |
| Q8_0 | 33.6 GB | ✗ No | — |
| Q6_K | 26.3 GB | ✗ No | — |
| Q5_K_M | 23 GB | ✓ Yes | 8K |
| Q4_K_M | 19.8 GB | ✓ Yes | 16K |
| Q3_K_M | 14.5 GB | ✓ Yes | 32K |
| Q2_K | 11.6 GB | ✓ Yes | 32K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “Max context” is the largest window that still fits in 24 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Nemotron Cascade 2 30B | Q4_K_M · 18.1125 GB · ~29 tok/s (est.) |
At 2 hrs/day, buying (~$1,499) beats renting at $0.34/hr after about 6.1 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 ~5.9 GB of headroom running Nemotron Cascade 2 30B at Q4_K_M (18.1125 GB, ~29 tok/s (est.)) with room for up to 16K context.
Nemotron Cascade 2 30B at Q4_K_M quantization (18.1125 GB), estimated ~29 tokens/sec, up to 16K context.
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