can it run
No. 16GB of memory can't hold the 363GB working set this model needs. A smaller quant or a bigger machine is required.
weights 290GB + KV cache 0.97GB at 4k context vs ~16GB usable → no. 291.0 GB vs 16 GB usable — does not fit
computed roofline: 160.4 GB/s × 0.28–0.50 efficiency window / 290.0GB (Q4_K_M) — bands, never points.
| model file | 290GB (GGUF Q4_K_M) |
| minimum memory | 363GB working set |
| this machine | 16GB GDDR5 (2×8 GB), 160 GB/s |
| params | 480B A35B cloud-class |
| license | apache-2.0 |
| price | $35 |
easy run: ollama pull qwen3-coder:480b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — cheapest machine that runs it ($60000)
→ every model the Tesla M60 (16GB, used) can run — full list
→ tesla-p100-16gb — the next step up from this machine's GPU