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// RUN — FITS
Can the GMKtec EVO-X3 run MT-DNN?
Yes — here's how fast and up to what context, with real measured numbers.
MT-DNN on the GMKtec EVO-X3
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1725k | 252.1-306.4 t/s | ~9.8-12 (slow) |
| Q8 | yes | 1730k | 504.2-612.8 t/s | ~19.7-23.9 (slow) |
| Q4 | yes | 1732k | 900.4-1094.4 t/s | ~35.2-42.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the GMKtec EVO-X3 run MT-DNN?▶
Yes. At Q4 it generates ~900.4-1094.4 tok/s and fits up to 1732k context; beyond that it spills to SSD swap and slows to ~35.2-42.7 tok/s.
How much context fits?▶
At Q4, up to about 1732k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.