can it run
No. 32GB of memory can't hold the 178GB working set this model needs. A smaller quant or a bigger machine is required.
weights 142GB + KV cache 0.73GB at 4k context vs ~32GB usable → no. 142.7 GB vs 32 GB usable — does not fit
computed roofline: 1792 GB/s × 0.55–0.80 efficiency window / 13.3GB (Q4_K_M) — bands, never points.
MoE: file is 142GB (that decides fit) but only ~22B of experts activate per token (~13.3GB streamed) — band below is the active-expert estimate, optimistic; community MoE rows run several× the naive bandwidth math
| model file | 142GB (GGUF Q4_K_M) |
| minimum memory | 178GB working set |
| this machine | 32GB GDDR7 |
| params | 235B-A22B MoE |
| license | apache-2.0 |
| price | $5000 |
easy run: ollama pull qwen3:235b-a22b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — cheapest machine that runs it ($60000)
→ every model the RTX 5090 (32GB) can run — full list
→ RTX PRO 6000 Blackwell (96GB) — upgrade path machine
B&H Photo ↗ · Amazon ↗ · Amazon ↗