Container size analysis: TensorFlow 2.8 base image vs Deep Learning

TLDR, building our DeepCell container from a base TensorFlow image is 50% faster to load and 60% smaller than using the Deep Learning container.

Deep Learning image
Base TF image
Reduction




Uncompressed
19.5 GB
7.2 GB
63%


Compressed
8.4 GB
3.2 GB
62%


Batch job load time
6 min
3 min
50%

This post covers how we rebuilt our container on the smaller base image; and why the Deep Learning container is so big to begin with. The long and …

ai analysis building deep learning docker faster image job min optimization tensorflow