// RUN โ€” FITS

Can the Intel Gaudi 3 run MT-DNN?

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

MT-DNN on the Intel Gaudi 3

QuantFits?Max contextSpeedBeyond context
FP16 yes 1764k 3251.5-4036.4 t/s ~35.2-43.6 (slow)
Q8 yes 1769k 6503-8072.7 t/s ~70.3-87.3 (slow)
Q4 yes 1771k 11612.6-14415.6 t/s ~125.5-155.8 (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 Intel Gaudi 3 run MT-DNN?โ–ถ

Yes. At Q4 it generates ~11612.6-14415.6 tok/s and fits up to 1771k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~125.5-155.8 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1771k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.