▲ local intelligence

can it run

Can the RTX PRO 6000 Blackwell (96GB) run LLAMA4 Scout 109B A17B?

TIGHT

Yes, but close to the edge. 96GB against a 84GB working set: it runs, with little room for long context windows or other processes.

~12–20 tok/s

weights 67GB + KV cache 0.75GB at 4k context vs ~96GB usable → full. 67.8 GB needed of 96 GB usable — headroom for context

computed roofline: 1792 GB/s × 0.46–0.76 efficiency window / 67.0GB (Q4_K_M) — bands, never points.

→explore the full catalog100 machines indexed · live prices · what each one can run

Specs

model file67GB (GGUF Q4_K_M)
minimum memory84GB working set
this machine96GB GDDR7
paramsScout 109B A17B
licensellama4 (gated on HF)
price$16499

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)

→ ASUS ExpertCenter Pro ET900N G3 (GB300) — this model on the biggest machine

→ every model the RTX PRO 6000 Blackwell (96GB) can run — full list

→ tinybox green v2 blackwell (4× RTX PRO 6000) — upgrade path machine

Buy

NVIDIA ↗ · B&H Photo ↗

2026-10-08 · ← all models on the RTX PRO 6000 Blackwell (96GB) · ← full hardware catalog · prices verified at source, may drift