I’m about to run a p2.16xlarge instance on AWS. I was wondering if anyone had any insight into the best settings for object detection.
I’m following the instructions here. https://github.com/nvidia/digits/tree/master/examples/object-detection to build a vehicle detection model.
but I think the settings are only running a single GPU for the testing.
The p2.16xlarge includes
16 Nvidia K80 GPU’s
192 GB GPU memory
as I wanted to get this trained as fast as possible. But what would be the settings to really take advantage of that.