Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — you'll have ~53.4 GB of headroom running Nemotron 70B Instruct at Q4_K_M (42.62475 GB, ~32 tok/s (est.)) with room for up to 64K context.
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| VRAM | 96 GB |
| Memory Bandwidth | 1792 GB/s |
| Quant | VRAM needed | Fits 96 GB? | Max context |
|---|---|---|---|
| F16 | 143.3 GB | ✗ No | — |
| Q8_0 | 77.2 GB | ✓ Yes | 32K |
| Q6_K | 60 GB | ✓ Yes | 64K |
| Q5_K_M | 52.2 GB | ✓ Yes | 64K |
| Q4_K_M | 44.8 GB | ✓ Yes | 64K |
| Q3_K_M | 32.2 GB | ✓ Yes | 64K |
| Q2_K | 25.4 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 96 GB. Figures are estimates from parameter count, quantization and memory bandwidth — the analyzer lets you tune KV-cache quant and context.
| Nemotron 70B Instruct | Q4_K_M · 42.62475 GB · ~32 tok/s (est.) |
At 2 hrs/day, buying (~$8,565) beats renting at $0.77/hr after about 15.4 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 ~53.4 GB of headroom running Nemotron 70B Instruct at Q4_K_M (42.62475 GB, ~32 tok/s (est.)) with room for up to 64K context.
Nemotron 70B Instruct at Q4_K_M quantization (42.62475 GB), estimated ~32 tokens/sec, up to 64K context.
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