Can I Run Cogito v1 on NVIDIA RTX PRO 6000 Blackwell?

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 21 lipca 2026

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 →

Kup ten sprzęt NVIDIA RTX PRO 6000 Blackwell 96GB — 96 GB VRAM · 600 W board powerUruchom w chmurze NVIDIA A40 w RunPod — od $0.44/godz. · stawka sprawdzona 2026-08

lub porównaj w Vast.ai

Jako partner Amazon zarabiamy na kwalifikujących się zakupach. Linki do chmurowych GPU są linkami polecającymi — możemy otrzymać prowizję bez dodatkowych kosztów dla Ciebie.

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

NVIDIA RTX PRO 6000 Blackwell 96GB
96 GB VRAM · 600 W board power
Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.
Sprawdź cenę na Amazon

NVIDIA RTX PRO 6000 Blackwell Specs

VRAM96 GB
Memory Bandwidth1792 GB/s

Cogito v1 70B on the NVIDIA RTX PRO 6000 Blackwell: VRAM by quantization

QuantVRAM neededFits 96 GB?Max contextWhole PC
F16143.5 GB✗ No——
Q8_077.9 GB✓ Yes32K—
Q6_K60.9 GB✓ Yes64K—
Q5_K_M53.1 GB✓ Yes128K—
Q4_K_M45.7 GB✓ Yes128K—
Q3_K_M33.3 GB✓ Yes128K—
Q2_K26.5 GB✓ Yes128K—

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 70BQ4_K_M · 45.7 GB at 8K context · ~32 tok/s (est.)
Cogito v1 32BQ4_K_M · 22.3 GB at 8K context · ~64 tok/s (est.)
Cogito v1 14BQ4_K_M · 10.9 GB at 8K context · ~120 tok/s (est.)
Cogito v1 8BQ4_K_M · 6.7 GB at 8K context · ~173 tok/s (est.)
Cogito v1 3BQ4_K_M · 3.6 GB at 8K context · ~267 tok/s (est.)
Buy vs. rent Cogito v1
Buy the GPU
~$8,565
NVIDIA RTX PRO 6000 Blackwell · MSRP
Rent by the hour
from $0.77/hr
A100 (80 GB) class

At 2 hrs/day, buying (~$8,565) beats renting at $0.77/hr after about 15.4 years.

Affiliate links — we may earn a commission if you sign up, at no extra cost to you.

Vast.ai $0.77/hr · typical low · varies
Rent on Vast.ai →
RunPod $1.39/hr
Rent on RunPod →

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

SizeVRAM at 8KVerdictSpeed
Cogito v1 70B45.7 GBRuns~32 tok/s
Cogito v1 32B22.3 GBRuns~64 tok/s
Cogito v1 14B10.9 GBRuns~120 tok/s
Cogito v1 8B6.7 GBRuns~173 tok/s
Cogito v1 3B3.6 GBRuns~267 tok/s

Cogito v1 on Other GPUs

Popular Models on the NVIDIA RTX PRO 6000 Blackwell

VRAM Tier

Troubleshooting

Buying Guide

← Can I Run It? | Cogito v1 Model Page | NVIDIA RTX PRO 6000 Blackwell GPU Page | VRAM calculator | Check Your Hardware