Training runs occasionally require many nodes but the cluster should not retain peak idle capacity. Which compute pattern should be evaluated?

1. An appropriately configured autoscaling training cluster
2. A data asset with no compute
3. A registered model as a compute scheduler
4. A permanently peak-sized interactive development machine