can it run
Comfortably. 32GB of memory against a 12GB working set leaves headroom for context, the OS, and anything else you're running.
weights 9GB + KV cache 0.75GB at 4k context vs ~32GB usable → full. 9.8 GB needed of 32 GB usable — headroom for context
computed roofline: 897 GB/s × 0.46–0.76 efficiency window / 9.0GB (Q4_K_M) — bands, never points.
| model file | 9.0GB (GGUF Q4_K_M) |
| minimum memory | 12GB working set |
| this machine | 32GB HBM2, 897 GB/s |
| params | distill 14B |
| license | mit |
| price | $645 |
easy run: ollama pull deepseek-r1:14b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — this model on the biggest machine
→ every model the Tesla V100 32GB (used) can run — full list
→ RTX 3090 (24GB, used) — upgrade path machine