Ray Cluster Resources Issue

Hi,

I have some issues.
I don’t know this is a bug or not. Please notify me about this issue.
I am setting up cluster. Firstly, I set Centos machine as head node, worker node1 Ubuntu, worker node2 also ubuntu. But when deployed code which simple consume resource, Centos machine not consume of resource. Also when I checked as ray status, Centos Cpu resource not adding to Head Node.

This scenario like also same between centos machines. (But Centos CPU resource not adding to cluster)

I could just connected CPU resources between ubuntu 18.04 Linux distribution.

Ray version = 2.1.0
Python version=3.8.8

Ray and Python versions same in the all machines.

Why this happening?

Please let me know.

Machines:

1.Cluster structure ( This worked)
Linux Machines:
x.x.x.x => Head Node => Ubuntu 18.04.4 LTS
x.x.x.x => Worker Node => Ubuntu 18.04.4 LTS
x.x.x.x => Worker Node => Ubuntu 18.04.4 LTS

2.Cluster structure(On this scenario, Ubuntu CPU resource adding to cluster. But Centos CPU resource not adding to cluster)
Linux Machines:
x.x.x.x => Head Node => Centos
x.x.x.x => Worker Node => Ubuntu
x.x.x.x => Worker Node => Ubuntu

3.Cluster structure (On this scenario, only the head node is added to the cluster. CPU of other machines are not adding to the cluster )
Linux Machines:
x.x.x.x => Head Node => CentOS-7
x.x.x.x => Worker Node => CentOS-7
x.x.x.x => Worker Node => CentOS-7

Hi @cansucandanx , sorry you’re running into this. Thanks for the details about what worked and what didn’t work. This seems to be a bug, I would expect Ray to work on CentOS. Would you mind filing an issue on the Ray github? If you have more details about the commands you ran to set up the cluster, that would be helpful the include as well.

Hi @architkulkarni
I filed this issue on the Ray github.

Thank you for support.