How severe does this issue affect your experience of using Ray?
- Low: It annoys or frustrates me for a moment.
i am running ray on kubeflow,i have follow the instruction of this doc.
https://docs.ray.io/en/latest/cluster/kubernetes/k8s-ecosystem/kubeflow.html
i follow all the step besides install kubeflow v1.9
here when i run the final code
i get error ConnectionError: ray client connection timeout
it seeme like i can’t connect to raycluster which install on my original machine.
every thins is fine, i figure out what’s going on. using vpn and set no_proxy fix my problem.
by the way,using ray in kubeflow, is that i am using my original resources like cpu,memory,gpu but code it in a few notebook? is there any using cases that suit this kind of situation? i think it might be easier that using it just real environment not a container because when i using kubeflow and bulid a notebook it is hard to do apt install to install some tools.the only thin i can do is pip install
