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// RUN — FITS
Can the NVIDIA Jetson T3000 run Pythia-410m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-410m on the NVIDIA Jetson T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 404k | 243-289.6 t/s | ~8.9-10.6 (slow) |
| Q8 | yes | 410k | 486.1-579.3 t/s | ~17.8-21.2 (slow) |
| Q4 | yes | 413k | 868-1034.5 t/s | ~31.8-37.9 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA Jetson T3000 run Pythia-410m?▶
Yes. At Q4 it generates ~868-1034.5 tok/s and fits up to 413k context; beyond that it spills to SSD swap and slows to ~31.8-37.9 tok/s.
How much context fits?▶
At Q4, up to about 413k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.