// RUN — FITS

Can the Jetson Thor T3000 run Llama Nemotron Nano 8B?

Yes — here's how fast and up to what context, with real measured numbers.

Llama Nemotron Nano 8B on the Jetson Thor T3000

QuantFits?Max contextSpeedBeyond context
FP16 yes 86k 12.5-14.8 t/s ~0.5-0.5 (slow)
Q8 yes 147k 24.9-29.7 t/s ~0.9-1.1 (slow)
Q4 yes 174k 44.5-53 t/s ~1.6-1.9 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.

→ All models on the Jetson Thor T3000 → Llama Nemotron Nano 8B specs → Other hardware

FAQ

Can the Jetson Thor T3000 run Llama Nemotron Nano 8B?▶

Yes. At Q4 it generates ~44.5-53 tok/s and fits up to 174k context; beyond that it spills to SSD swap and slows to ~1.6-1.9 tok/s.

How much context fits?▶

At Q4, up to about 174k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.