// RUN โ€” FITS

Can the NVIDIA GeForce RTX 5080 run base LM+GNN+kNN?

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

base LM+GNN+kNN on the NVIDIA GeForce RTX 5080

QuantFits?Max contextSpeedBeyond context
FP16 yes 193k 1278.8-1524.1 t/s ~53.3-63.5 (slow)
Q8 yes 198k 2557.7-3048.2 t/s ~106.6-127 (slow)
Q4 yes 199k 4567.3-5443.2 t/s ~190.3-226.8 (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 5080 run base LM+GNN+kNN?โ–ถ

Yes. At Q4 it generates ~4567.3-5443.2 tok/s and fits up to 199k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~190.3-226.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 199k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.