I am consistently seeing higher validation loss when I train & evaluate a model on AWS GPU vs local CPU.
I am using the exact same train/eval datasets and the exact same Tensorflow code and configuration for both runs. Has anyone else experienced this before and know how to explain?
See screenshots below comparing GPU vs CPU loss for equivalent steps.