Autor: Jakub Rusinowski · Ostatnia aktualizacja: 15 sierpnia 2026
Yes, but it's tight — Nemotron 3 Super 120B-A12B at Q4_K_M needs 72.45 GB of the NVIDIA A100 80GB's 80 GB, leaving only ~7.5 GB, ~106 tok/s (est.) with room for up to 16K context.
or compare on Vast.ai from $0.77/hr (typical low · varies)
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| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
| Quant | VRAM needed | Fits 80 GB? | Max context |
|---|---|---|---|
| F16 | 242.2 GB | ✗ No | — |
| Q8_0 | 129.7 GB | ✗ No | — |
| Q6_K | 100.6 GB | ✗ No | — |
| Q5_K_M | 87.3 GB | ✗ No | — |
| Q4_K_M | 74.7 GB | ✓ Yes | 16K |
| Q3_K_M | 53.4 GB | ✓ Yes | 64K |
| Q2_K | 41.7 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 80 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Nemotron 3 Super 120B-A12B | Q4_K_M · 72.45 GB · ~106 tok/s (est.) |
At 2 hrs/day, buying (~$15,000) beats renting at $0.77/hr after about 27.1 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, but it's tight — Nemotron 3 Super 120B-A12B at Q4_K_M needs 72.45 GB of the NVIDIA A100 80GB's 80 GB, leaving only ~7.5 GB, ~106 tok/s (est.) with room for up to 16K context.
Nemotron 3 Super 120B-A12B at Q4_K_M quantization (72.45 GB), estimated ~106 tokens/sec, up to 16K context.
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