▲ local intelligence

can it run

Can the tinybox pro v2 (8× RTX 5090) run qwen3.8 27B?

YES

Comfortably. 256GB of memory against a 21GB working set leaves headroom for context, the OS, and anything else you're running.

~60–87 tok/s

weights 16.5GB + KV cache 2GB at 4k context vs ~32GB usable → full. 18.5 GB needed of 32 GB usable — headroom for context

computed roofline: 1792 GB/s × 0.55–0.80 efficiency window / 16.5GB (Q4_K_M) — bands, never points.

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Specs

model file16.5GB (GGUF Q4_K_M)
minimum memory21GB working set
this machine256GB VRAM (8× 32GB)
params27B
licenseapache-2.0
price$100000

Run it

model files: hugging face ↗

easy run: ollama pull qwen3.8:27b

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

Alternatives

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

→ rtx-pro-6000 — the next step up from this machine's GPU

Buy

tinygrad ↗ · Amazon ↗

2026-10-08 · ← full hardware catalog · prices verified at source, may drift