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// RUN — FITS
Can the NVIDIA Jetson T2000 run StyleGAN3-R?
Yes — here's how fast and up to what context, with real measured numbers.
StyleGAN3-R on the NVIDIA Jetson T2000
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 197k | 31648.7-37718.4 t/s | ~2310.1-2753.2 (slow) |
| Q8 | yes | 197k | 63297.5-75436.7 t/s | ~4620.3-5506.3 (slow) |
| Q4 | yes | 197k | 113031.2-134708.4 t/s | ~8250.5-9832.7 (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 T2000 run StyleGAN3-R?▶
Yes. At Q4 it generates ~113031.2-134708.4 tok/s and fits up to 197k context; beyond that it spills to SSD swap and slows to ~8250.5-9832.7 tok/s.
How much context fits?▶
At Q4, up to about 197k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.