I have a gaming rig with an i9 CPU, 32GB RAM and RTX 2080, and I have a GCP VM with 4 vCPU, 52 GB RAM and V100.
I try to train the same dataset using the same toolchain on both machines and these are my ETA's:
GCP VM: 16 days Gaming rig: 5 days
How can a single $600 GPU outperform a 10k GPU?
What's going on here?
And what should I even expect?
