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// RUN — FITS
Can the NVIDIA Jetson T3000 run TxGemma 9B?
Yes — here's how fast and up to what context, with real measured numbers.
TxGemma 9B on the NVIDIA Jetson T3000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 71k | 11.1-13.2 t/s | ~0.4-0.5 (slow) |
| Q8 | yes | 140k | 22.1-26.4 t/s | ~0.8-1 (slow) |
| Q4 | yes | 170k | 39.5-47.1 t/s | ~1.4-1.7 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA Jetson T3000 run TxGemma 9B?▶
Yes. At Q4 it generates ~39.5-47.1 tok/s and fits up to 170k context; beyond that it spills to SSD swap and slows to ~1.4-1.7 tok/s.
How much context fits?▶
At Q4, up to about 170k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.