作者： Jakub Rusinowski · 最后更新： 2026年7月12日
Yes, comfortably — you'll have ~17.9 GB of headroom running Nemotron Cascade 2 30B at Q4_K_M (18.1125 GB, ~4 tok/s (est.)) with room for up to 64K context.
or compare on Vast.ai from $0.35/hr (typical low · varies)
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| VRAM | 36 GB unified memory |
| Memory Bandwidth | 153 GB/s |
| Quant | VRAM needed | Fits 36 GB? | Max context |
|---|---|---|---|
| F16 | 61.7 GB | ✗ No | — |
| Q8_0 | 33.6 GB | ✓ Yes | 8K |
| Q6_K | 26.3 GB | ✓ Yes | 32K |
| Q5_K_M | 23 GB | ✓ Yes | 32K |
| Q4_K_M | 19.8 GB | ✓ Yes | 64K |
| Q3_K_M | 14.5 GB | ✓ Yes | 64K |
| Q2_K | 11.6 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 36 GB of unified memory. 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 · ~4 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.34/hr after about 8.2 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 ~17.9 GB of headroom running Nemotron Cascade 2 30B at Q4_K_M (18.1125 GB, ~4 tok/s (est.)) with room for up to 64K context.
Nemotron Cascade 2 30B at Q4_K_M quantization (18.1125 GB), estimated ~4 tokens/sec, up to 64K context.
| Size | VRAM | Verdict | Speed |
|---|---|---|---|
| Nemotron Cascade 2 70B | 42.3 GB | Runs at Q3_K_M | — |
| Nemotron Cascade 2 30B | 18.1 GB | Runs | ~4 tok/s |
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