// RUN โ€” FITS

Can the Intel Gaudi 3 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 Intel Gaudi 3

QuantFits?Max contextSpeedBeyond context
FP16 yes 1766k 3916.1-4861.3 t/s ~42.3-52.6 (slow)
Q8 yes 1770k 7832.1-9722.6 t/s ~84.7-105.1 (slow)
Q4 yes 1772k 13985.9-17361.8 t/s ~151.2-187.7 (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 Intel Gaudi 3 run base LM+GNN+kNN?โ–ถ

Yes. At Q4 it generates ~13985.9-17361.8 tok/s and fits up to 1772k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~151.2-187.7 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1772k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.