local intelligence

can it run

Can the RTX 2080 / 2080 Super (8GB, used) run qwen3-coder 480B A35B cloud-class?

NO

No. 8GB of memory can't hold the 363GB working set this model needs. A smaller quant or a bigger machine is required.

~0.74–1.1 tok/s

weights 290GB + KV cache 0.97GB at 4k context vs ~8GB usable → no. 291.0 GB vs 8 GB usable — does not fit

computed roofline: 448 GB/s × 0.48–0.72 efficiency window / 290.0GB (Q4_K_M) — bands, never points.

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Specs

model file290GB (GGUF Q4_K_M)
minimum memory363GB working set
this machine8GB GDDR6, 448-496 GB/s
params480B A35B cloud-class
licenseapache-2.0
price$305

Run it

model files: hugging face ↗

easy run: ollama pull qwen3-coder:480b

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

Alternatives

ASUS ExpertCenter Pro ET900N G3 (GB300) — cheapest machine that runs it ($60000)

every model the RTX 2080 / 2080 Super (8GB, used) can run — full list

rtx-3080-10gb — the next step up from this machine's GPU

Buy

eBay (used) ↗ · Amazon ↗

2026-09-17 · ← all models on the RTX 2080 / 2080 Super (8GB, used) · ← full hardware catalog · prices verified at source, may drift