can it run
Yes, but close to the edge. 24GB against a 22GB working set: it runs, with little room for long context windows or other processes.
weights 17GB + KV cache 1.94GB at 4k context vs ~22GB usable → tight. 18.9 of 22 GB usable — keep context modest
computed roofline: 273 GB/s × 0.25–0.65 efficiency window / 17.0GB (Q4_K_M) — bands, never points.
| model file | 17GB (GGUF Q4_K_M) |
| minimum memory | 22GB working set |
| this machine | 24GB unified LPDDR5X (18-core CPU / 5,120-core GPU base config) |
| params | 27B |
| license | gemma |
| price | $2599.99 |
easy run: ollama pull gemma3:27b
runs with: ollama · llama.cpp · koboldcpp · lm studio
→ Tesla V100 32GB (used) — cheapest machine that runs it ($700)
→ ASUS ExpertCenter Pro ET900N G3 (GB300) — this model on the biggest machine
→ rtx-5090 — the next step up from this machine's GPU