can it run
No. 32GB 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 ~32GB usable → no. 291.0 GB vs 32 GB usable — does not fit
computed roofline: 897 GB/s × 0.46–0.76 efficiency window / 290.0GB (Q4_K_M) — bands, never points.
| model file | 290GB (GGUF Q4_K_M) |
| minimum memory | 363GB working set |
| this machine | 32GB HBM2, 897 GB/s |
| params | 480B A35B cloud-class |
| license | apache-2.0 |
| price | $645 |
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 V100 32GB (used) can run — full list
→ RTX 3090 (24GB, used) — upgrade path machine