Will the task/actors queued if there are not enough resources?

I got a warning said if the Ray is autoscaled, you can ignore this. But if Ray is not autoscaled, will the unassigned tasks/actors queued?

"WARNING worker.py:1091 – The actor or task with ID d5d2b80cb084b08dffffffff04000000 is pending and cannot currently be scheduled. It requires {CPU: 1.000000}, {memory: 0.488281 GiB} for execution and {CPU: 1.000000}, {memory: 0.488281 GiB} for placement, but this node only has remaining {node:172.20.1.133: 1.000000}, {CPU: 1.000000}, {memory: 5.224609 GiB}, {object_store_memory: 1.513672 GiB}. In total there are 1 pending tasks and 0 pending actors on this node. This is likely due to all cluster resources being claimed by actors. To resolve the issue, consider creating fewer actors or increase the resources available to this Ray cluster. You can ignore this message if this Ray cluster is expected to auto-scale.
"

cc @Alex Can you answer this question?

Yes, they will be queued until the resources become available (a task finishes, or an actor or placement group is removed)

so can I ignore the warning then?

Hi there, I m new to Ray and I have a question:
if a task requires more resources than the cluster has, like my cluster has 16 CPUs and the task requires 20CPUs, will the task be queued forever? or there is a time limit for a queued task?