  Monitoring energy behaviors in AI data centers is crucial, both to reduce
their energy consumption and to raise awareness among their users which are key
actors in the AI field. This paper shows a proof of concept of easy and
lightweight monitoring of energy behaviors at the scale of a whole data center,
a user or a job submission. Our system uses software wattmeters and we validate
our setup with per node accurate external wattmeters. Results show that there
is an interesting potential from the efficiency point of view, providing
arguments to create user engagement thanks to energy monitoring.
