Autor: Jakub Rusinowski · Ostatnia aktualizacja: 12 lipca 2026
Yes, comfortably — you'll have ~21.4 GB of headroom running Nemotron 70B Instruct at Q4_K_M (42.62475 GB, ~4 tok/s (est.)) with room for up to 32K context.
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| VRAM | 64 GB unified memory |
| Memory Bandwidth | 307 GB/s |
| Quant | VRAM needed | Fits 64 GB? | Max context |
|---|---|---|---|
| F16 | 143.3 GB | ✗ No | — |
| Q8_0 | 77.2 GB | ✗ No | — |
| Q6_K | 60 GB | ✓ Yes | 8K |
| Q5_K_M | 52.2 GB | ✓ Yes | 32K |
| Q4_K_M | 44.8 GB | ✓ Yes | 32K |
| 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 64 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 70B Instruct | Q4_K_M · 42.62475 GB · ~4 tok/s (est.) |
At 2 hrs/day, buying (~$1,999) beats renting at $0.77/hr after about 3.6 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 ~21.4 GB of headroom running Nemotron 70B Instruct at Q4_K_M (42.62475 GB, ~4 tok/s (est.)) with room for up to 32K context.
Nemotron 70B Instruct at Q4_K_M quantization (42.62475 GB), estimated ~4 tokens/sec, up to 32K context.
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