Can I Run Cogito v1 on NVIDIA A100 80GB (PCIe)?
Written by Jakub Rusinowski · Last updated July 21, 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 ~34.3 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~26 tok/s (est.), with room for up to 64K context.
See what else this hardware can run →
or compare on Vast.ai from $0.77/hr (typical low · varies)
As an Amazon Associate we earn from qualifying purchases. Cloud GPU links are referral links — we may earn a commission at no extra cost to you.
NVIDIA A100 80GB (PCIe) Specs
| VRAM | 80 GB |
| Memory Bandwidth | 1935 GB/s |
Cogito v1 70B on the NVIDIA A100 80GB (PCIe): VRAM by quantization
| Quant | VRAM needed | Fits 80 GB? | Max context | Whole PC |
|---|---|---|---|---|
| F16 | 143.5 GB | ✗ No | — | — |
| Q8_0 | 77.9 GB | ✓ Yes | 8K | — |
| Q6_K | 60.9 GB | ✓ Yes | 64K | — |
| Q5_K_M | 53.1 GB | ✓ Yes | 64K | — |
| Q4_K_M | 45.7 GB | ✓ Yes | 64K | — |
| 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 80 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 A100 80GB (PCIe): 8K 45.7 GB · 32K 53.8 GB · 128K 86 GB ✗. Past 128K it no longer fits 80 GB — a q8_0 KV cache buys roughly half of that back, which the calculator will price for you.
No compatible GPU? Cogito v1 on 8 GB of system RAM, CPU only: runs.
Cogito v1 Sizes That Fit the NVIDIA A100 80GB (PCIe) (at 8K context)
| Cogito v1 70B | Q4_K_M · 45.7 GB at 8K context · ~26 tok/s (est.) |
| Cogito v1 32B | Q4_K_M · 22.3 GB at 8K context · ~52 tok/s (est.) |
| Cogito v1 14B | Q4_K_M · 10.9 GB at 8K context · ~101 tok/s (est.) |
| Cogito v1 8B | Q4_K_M · 6.7 GB at 8K context · ~149 tok/s (est.) |
| Cogito v1 3B | Q4_K_M · 3.6 GB at 8K context · ~242 tok/s (est.) |
At 2 hrs/day, buying (~$15,000) beats renting at $0.77/hr after about 27.1 years.
Affiliate links — we may earn a commission if you sign up, at no extra cost to you.
Cloud rates verified 2026-07 — estimates, and marketplace prices vary. Buying price is GPU MSRP only, not a full PC.
FAQ
Can I run Cogito v1 on the NVIDIA A100 80GB (PCIe)?
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 ~34.3 GB of the NVIDIA A100 80GB (PCIe)'s 80 GB, at ~26 tok/s (est.), with room for up to 64K context.
What's the best Cogito v1 size for the NVIDIA A100 80GB (PCIe)?
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 ~26 tokens/sec, up to 64K context.
Every Cogito v1 size on the NVIDIA A100 80GB (PCIe)
| Size | VRAM at 8K | Verdict | Speed |
|---|---|---|---|
| Cogito v1 70B | 45.7 GB | Runs | ~26 tok/s |
| Cogito v1 32B | 22.3 GB | Runs | ~52 tok/s |
| Cogito v1 14B | 10.9 GB | Runs | ~101 tok/s |
| Cogito v1 8B | 6.7 GB | Runs | ~149 tok/s |
| Cogito v1 3B | 3.6 GB | Runs | ~242 tok/s |
Cogito v1 on Other GPUs
- Cogito v1 on NVIDIA H100 80GB (PCIe)
- Cogito v1 on Apple M2 Max
- Cogito v1 on Apple M1 Max
- Cogito v1 on Apple M5 Pro
- Cogito v1 on NVIDIA RTX PRO 6000 Blackwell
Popular Models on the NVIDIA A100 80GB (PCIe)
VRAM Tier
Troubleshooting
Buying Guide
← Can I Run It? | Cogito v1 Model Page | NVIDIA A100 80GB (PCIe) GPU Page | VRAM calculator | Check Your Hardware