local intelligence

can it run

Can the RTX 5080 (16GB) run LLAMA4 Scout 109B A17B?

NO

No. 16GB of memory can't hold the 84GB working set this model needs. A smaller quant or a bigger machine is required.

~7.2–11 tok/s

weights 67GB + KV cache 0.75GB at 4k context vs ~16GB usable → no. 67.8 GB vs 16 GB usable — does not fit

computed roofline: 960 GB/s × 0.50–0.80 efficiency window / 67.0GB (Q4_K_M) — bands, never points.

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Specs

model file67GB (GGUF Q4_K_M)
minimum memory84GB working set
this machine16GB GDDR7
paramsScout 109B A17B
licensellama4 (gated on HF)
price$1400

Run it

model files: hugging face ↗

easy run: ollama pull llama4:scout

runs with: ollama · llama.cpp · koboldcpp · lm studio

Alternatives

NIMO AI Mini PC (128GB) — cheapest machine that runs it ($1999)

every model the RTX 5080 (16GB) can run — full list

rtx-5090 — the next step up from this machine's GPU

Buy

Amazon ↗ · Newegg ↗ · Amazon ↗ (affiliate)

2026-09-17 · ← all models on the RTX 5080 (16GB) · ← full hardware catalog · prices verified at source, may drift