// RUN โ€” FITS

Can the NVIDIA Jetson T3000 run GLA Transformer 340M?

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

GLA Transformer 340M on the NVIDIA Jetson T3000

QuantFits?Max contextSpeedBeyond context
FP16 yes 406k 293.1-349.3 t/s ~10.7-12.8 (slow)
Q8 yes 411k 586.1-698.6 t/s ~21.5-25.6 (slow)
Q4 yes 414k 1046.7-1247.4 t/s ~38.3-45.7 (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 GLA Transformer 340M?โ–ถ

Yes. At Q4 it generates ~1046.7-1247.4 tok/s and fits up to 414k context; beyond that it spills to SSD swap and slows to ~38.3-45.7 tok/s.

How much context fits?โ–ถ

At Q4, up to about 414k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.