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// RUN — FITS
Can the Jetson Thor T3000 run data2vec (language)?
Yes — here's how fast and up to what context, with real measured numbers.
data2vec (language) on the Jetson Thor T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 395k | 141.3-168.4 t/s | ~5.2-6.2 (slow) |
| Q8 | yes | 406k | 282.6-336.8 t/s | ~10.4-12.3 (slow) |
| Q4 | yes | 411k | 504.7-601.5 t/s | ~18.5-22 (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 data2vec (language)?▶
Yes. At Q4 it generates ~504.7-601.5 tok/s and fits up to 411k context; beyond that it spills to SSD swap and slows to ~18.5-22 tok/s.
How much context fits?▶
At Q4, up to about 411k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.