How severe does this issue affect your experience of using Ray?
- High: It blocks me to complete my task.
I’m using ray.remote() to launch a number of parallel tasks, and finding that the rate of task completion is unexpectedly bottlenecked. I noticed that dashboard/agent.py is constantly at or near 100% CPU. Does that indicate some kind of Ray internals are the limiting factor? If so, is there a way to eliminate unnecessary work internal to Ray? For example, I don’t need the dashboard functionality and just need maximum throughput. Any suggestions welcome, thanks!