A deep-learning job must train across multiple nodes. What should be configured together?

1. A supported distributed training framework, launch configuration, and compatible compute resources
2. Assume all scripts become distributed automatically on any cluster
3. Copy the same result file to several folders
4. Only increase the run's display-name length