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// RUN — FITS
Can the NVIDIA Jetson T3000 run ProGen2-xlarge?
Yes — here's how fast and up to what context, with real measured numbers.
ProGen2-xlarge on the NVIDIA Jetson T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 111k | 15.6-18.6 t/s | ~0.6-0.7 (slow) |
| Q8 | yes | 159k | 31.1-37.1 t/s | ~1.1-1.4 (slow) |
| Q4 | yes | 181k | 55.6-66.3 t/s | ~2-2.4 (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 ProGen2-xlarge?▶
Yes. At Q4 it generates ~55.6-66.3 tok/s and fits up to 181k context; beyond that it spills to SSD swap and slows to ~2-2.4 tok/s.
How much context fits?▶
At Q4, up to about 181k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.