Can I Run Cogito v1 on NVIDIA RTX PRO 6000 Blackwell?
作者： Jakub Rusinowski · 最后更新： 2026年7月21日
Yes, comfortably — Cogito v1 70B at Q4_K_M needs 45.7 GB at 8K context (42.3 GB weights + 3.4 GB KV cache/overhead), leaving ~50.3 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~32 tok/s (est.), with room for up to 128K context.
See what else this hardware can run →
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NVIDIA RTX PRO 6000 Blackwell Specs
| VRAM | 96 GB |
| Memory Bandwidth | 1792 GB/s |
Cogito v1 70B on the NVIDIA RTX PRO 6000 Blackwell: VRAM by quantization
| Quant | VRAM needed | Fits 96 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 143.5 GB | ✗ No | — | — |
| Q8_0 | 77.9 GB | ✓ Yes | 32K | — |
| Q6_K | 60.9 GB | ✓ Yes | 64K | — |
| Q5_K_M | 53.1 GB | ✓ Yes | 128K | — |
| Q4_K_M | 45.7 GB | ✓ Yes | 128K | — |
| Q3_K_M | 33.3 GB | ✓ Yes | 128K | — |
| Q2_K | 26.5 GB | ✓ Yes | 128K | — |
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 45.7 GB · 32K 53.8 GB · 128K 86 GB. Every window this model publishes still fits 96 GB.
No compatible GPU? Cogito v1 on 8 GB of system RAM, CPU only: runs.
Cogito v1 Sizes That Fit the NVIDIA RTX PRO 6000 Blackwell (at 8K context)
| Cogito v1 70B | Q4_K_M · 45.7 GB at 8K context · ~32 tok/s (est.) |
| Cogito v1 32B | Q4_K_M · 22.3 GB at 8K context · ~64 tok/s (est.) |
| Cogito v1 14B | Q4_K_M · 10.9 GB at 8K context · ~120 tok/s (est.) |
| Cogito v1 8B | Q4_K_M · 6.7 GB at 8K context · ~173 tok/s (est.) |
| Cogito v1 3B | Q4_K_M · 3.6 GB at 8K context · ~267 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
Is the NVIDIA RTX PRO 6000 Blackwell enough to run Cogito v1 locally?
Yes, comfortably — Cogito v1 70B at Q4_K_M needs 45.7 GB at 8K context (42.3 GB weights + 3.4 GB KV cache/overhead), leaving ~50.3 GB of the NVIDIA RTX PRO 6000 Blackwell's 96 GB, at ~32 tok/s (est.), with room for up to 128K context.
What's the best Cogito v1 size for the NVIDIA RTX PRO 6000 Blackwell?
Cogito v1 70B at Q4_K_M quantization needs 45.7 GB at 8K context (42.3 GB weights + 3.4 GB KV cache/overhead), estimated ~32 tokens/sec, up to 128K context.
Every Cogito v1 size on the NVIDIA RTX PRO 6000 Blackwell
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Cogito v1 70B | 45.7 GB | Runs | ~32 tok/s |
| Cogito v1 32B | 22.3 GB | Runs | ~64 tok/s |
| Cogito v1 14B | 10.9 GB | Runs | ~120 tok/s |
| Cogito v1 8B | 6.7 GB | Runs | ~173 tok/s |
| Cogito v1 3B | 3.6 GB | Runs | ~267 tok/s |
Cogito v1 on Other GPUs
- Cogito v1 on Apple M2 Max
- Cogito v1 on NVIDIA A100 80GB (PCIe)
- Cogito v1 on NVIDIA H100 80GB (PCIe)
- Cogito v1 on Apple M3 Max
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