▲ local intelligence

can it run

Can the tinybox pro v2 black (8× RTX PRO 6000 Blackwell) run qwen3 0.6B?

YES

Comfortably. 768GB of memory against a 4GB working set leaves headroom for context, the OS, and anything else you're running.

~1400–2300 tok/s

weights 0.6GB + KV cache 0.44GB at 4k context vs ~96GB usable → full. 1.0 GB needed of 96 GB usable — headroom for context

computed roofline: 1792 GB/s × 0.46–0.76 efficiency window / 0.6GB (Q4_K_M) — bands, never points. Small models (under ~4.5B) run BELOW these bands — kernel-launch overhead keeps them from saturating bandwidth (measured against community medians, 09-06).

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

Specs

model file0.6GB (GGUF Q4_K_M)
minimum memory4GB working set
this machine768GB VRAM (8× 96GB)
params0.6B
licenseapache-2.0
price$200000

Run it

model files: hugging face ↗

easy run: ollama pull qwen3:0.6b

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

Alternatives

no alternatives — every machine in the catalog can run this one.

Buy

tinygrad ↗ · Amazon ↗

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