Written by Jakub Rusinowski · Last updated July 21, 2026
Yes, comfortably — you'll have ~14.2 GB of headroom running Llama 4 Scout 17B at Q4_K_M (65.80875 GB, ~114 tok/s (est.)) with room for up to 64K context.
| VRAM | 80 GB |
| Memory Bandwidth | 2000 GB/s |
| Quant | VRAM needed | Fits 80 GB? | Max context |
|---|---|---|---|
| F16 | 219.6 GB | ✗ No | — |
| Q8_0 | 117.4 GB | ✗ No | — |
| Q6_K | 91 GB | ✗ No | — |
| Q5_K_M | 78.9 GB | ✓ Yes | 8K |
| Q4_K_M | 67.4 GB | ✓ Yes | 64K |
| Q3_K_M | 48.1 GB | ✓ Yes | 128K |
| Q2_K | 37.4 GB | ✓ Yes | 128K |
VRAM needed assumes a 4K-token context with an f16 KV cache; “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.
| Llama 4 Scout 17B | Q4_K_M · 65.80875 GB · ~114 tok/s (est.) |
At 2 hrs/day, buying (~$25,000) beats renting at $0.77/hr after about 45.1 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.
Yes, comfortably — you'll have ~14.2 GB of headroom running Llama 4 Scout 17B at Q4_K_M (65.80875 GB, ~114 tok/s (est.)) with room for up to 64K context.
Llama 4 Scout 17B at Q4_K_M quantization (65.80875 GB), estimated ~114 tokens/sec, up to 64K context.
← Can I Run It? | Llama 4 Model Page | NVIDIA H100 80GB GPU Page | Check Your Hardware