The new task is not running inside a new subprocess. Our platform trains several models, and we'd like each of them to be tracked in their own Task . When running locally, this is "out of the box", as we can init and close before and after each model.
When running remotely, one cannot close the main task (since it is what orchestrates everything), and so this workaround was needed.