// RUN โ€” FITS

Can the NVIDIA GeForce RTX 3090 Ti run EfficientNetV2-XL?

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

EfficientNetV2-XL on the NVIDIA GeForce RTX 3090 Ti

QuantFits?Max contextSpeedBeyond context
FP16 yes 308k 1768.8-2108.1 t/s ~70.2-83.7 (slow)
Q8 yes 311k 3537.7-4216.2 t/s ~140.4-167.3 (slow)
Q4 yes 312k 6317.3-7528.8 t/s ~250.7-298.8 (slow)

Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.

FAQ

Can the NVIDIA GeForce RTX 3090 Ti run EfficientNetV2-XL?โ–ถ

Yes. At Q4 it generates ~6317.3-7528.8 tok/s and fits up to 312k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~250.7-298.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 312k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.