can it run
Comfortably. 16GB of memory against a 11GB working set leaves headroom for context, the OS, and anything else you're running.
weights 8.1GB + KV cache 1.5GB at 4k context vs ~16GB usable → full. 9.6 GB needed of 16 GB usable — headroom for context
computed roofline: 732 GB/s × 0.17–0.38 efficiency window / 8.1GB (Q4_K_M) — bands, never points.
| model file | 8.1GB (GGUF Q4_K_M) |
| minimum memory | 11GB working set |
| this machine | 16GB HBM2, 732 GB/s |
| params | 12B |
| license | gemma |
| price | $135 |
easy run: ollama pull gemma3:12b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — this model on the biggest machine
→ every model the Tesla P100 (16GB, used) can run — full list
→ tesla-v100-16gb — the next step up from this machine's GPU