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// RUN — FITS
Can the Jetson Thor T3000 run EXAONE Deep 2.4B?
Yes — here's how fast and up to what context, with real measured numbers.
EXAONE Deep 2.4B on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 343k | 41.5-49.5 t/s | ~1.5-1.8 (slow) |
| Q8 | yes | 380k | 83-99 t/s | ~3-3.6 (slow) |
| Q4 | yes | 396k | 148.3-176.7 t/s | ~5.4-6.5 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the Jetson Thor T3000 run EXAONE Deep 2.4B?▶
Yes. At Q4 it generates ~148.3-176.7 tok/s and fits up to 396k context; beyond that it spills to SSD swap and slows to ~5.4-6.5 tok/s.
How much context fits?▶
At Q4, up to about 396k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.