Can I Run Nemotron 70B on NVIDIA RTX PRO 6000 Blackwell?
Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — Nemotron 70B Instruct at Q4_K_M needs 46.1 GB at 8K context (42.6 GB weights + 3.5 GB KV cache/overhead), leaving ~49.9 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~32 tok/s (est.), with room for up to 64K context.
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NVIDIA RTX PRO 6000 Blackwell Specs
| VRAM | 96 GB |
| Memory Bandwidth | 1792 GB/s |
Nemotron 70B Instruct on the NVIDIA RTX PRO 6000 Blackwell: VRAM by quantization
| Quant | VRAM needed | Fits 96 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 144.7 GB | ✗ No | — | — |
| Q8_0 | 78.5 GB | ✓ Yes | 32K | — |
| Q6_K | 61.4 GB | ✓ Yes | 64K | — |
| Q5_K_M | 53.5 GB | ✓ Yes | 64K | — |
| Q4_K_M | 46.1 GB | ✓ Yes | 64K | — |
| Q3_K_M | 33.6 GB | ✓ Yes | 64K | — |
| Q2_K | 26.7 GB | ✓ Yes | 64K | — |
Assumes an 8K-token context with an f16 KV cache. A longer window needs more; a quantized KV cache needs less. “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.
Context costs VRAM too. At Q4_K_M on the NVIDIA RTX PRO 6000 Blackwell: 8K 46.1 GB · 32K 54.2 GB · 125K 85.4 GB. Every window this model publishes still fits 96 GB.
No compatible GPU? Nemotron 70B Instruct on 256 GB of system RAM, CPU only: runs, but too slowly to be worth it.
Nemotron 70B Sizes That Fit the NVIDIA RTX PRO 6000 Blackwell (at 8K context)
| Nemotron 70B Instruct | Q4_K_M · 46.1 GB at 8K context · ~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.
FAQ
Will Nemotron 70B run on the NVIDIA RTX PRO 6000 Blackwell?
Yes, comfortably — Nemotron 70B Instruct at Q4_K_M needs 46.1 GB at 8K context (42.6 GB weights + 3.5 GB KV cache/overhead), leaving ~49.9 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~32 tok/s (est.), with room for up to 64K context.
Which Nemotron 70B variant fits best on the NVIDIA RTX PRO 6000 Blackwell?
Nemotron 70B Instruct at Q4_K_M quantization needs 46.1 GB at 8K context (42.6 GB weights + 3.5 GB KV cache/overhead), estimated ~32 tokens/sec, up to 64K context.
Nemotron 70B on Other GPUs
- Nemotron 70B on Apple M2 Max
- Nemotron 70B on NVIDIA A100 80GB (PCIe)
- Nemotron 70B on NVIDIA H100 80GB (PCIe)
- Nemotron 70B on Apple M3 Max
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