The MPI Operator makes it easy to run allreduce-style distributed training.

kubectl create -f deploy/

Launch a multi-node tensorflow benchmark training job:

kubectl create -f examples/tensorflow-benchmarks.yaml

Once everything starts, the logs are available in the launcher pod.