can it run
Comfortably. 256GB of memory against a 7GB working set leaves headroom for context, the OS, and anything else you're running.
weights 4.9GB + KV cache 0.5GB at 4k context vs ~32GB usable → full. 5.4 GB needed of 32 GB usable — headroom for context
computed roofline: 1792 GB/s × 0.55–0.80 efficiency window / 4.9GB (Q4_K_M) — bands, never points.
| model file | 4.9GB (GGUF Q4_K_M) |
| minimum memory | 7GB working set |
| this machine | 256GB VRAM (8× 32GB) |
| params | distill 8B |
| license | mit |
| price | $100000 |
easy run: ollama pull deepseek-r1:8b
runs with: ollama · llama.cpp · koboldcpp · lm studio
no alternatives — every machine in the catalog can run this one.
→ rtx-pro-6000 — the next step up from this machine's GPU