// RUN โ€” FITS

Can the NVIDIA A100 PCIe 80GB run Pythia-410m?

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

Pythia-410m on the NVIDIA A100 PCIe 80GB

QuantFits?Max contextSpeedBeyond context
FP16 yes 1088k 1722.6-2053 t/s ~35.6-42.4 (slow)
Q8 yes 1094k 3445.2-4106 t/s ~71.2-84.9 (slow)
Q4 yes 1097k 6152.2-7332.1 t/s ~127.2-151.6 (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 A100 PCIe 80GB run Pythia-410m?โ–ถ

Yes. At Q4 it generates ~6152.2-7332.1 tok/s and fits up to 1097k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~127.2-151.6 tok/s.

How much context fits?โ–ถ

At Q4, up to about 1097k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.