Trainbow
Trainbow
the logs in ps node:  the logs in worker node: 
Thanks for response. Looking forward to this feature!
已收到,谢谢!
已收到,谢谢!
@srikumar003 Thank you for your prompt reply, I tried to see the label of "monitor-pods-datasets" and it was set to "enabled." ``` kubectl get ns dlf --show-labels | grep monitor-pods-datasets...
@srikumar003 I tried the same install steps in the local docker-desktop k8s, and it works, so I think the minio's endpoint is correct. Do you mean that the datashim's plugin...
你好,我在尝试volcano gpu number的服务调度,在根据volcano的教程步骤安装之后,每一个带gpu的node都能够正确的显示有多少块gpu,但是在创建pod的时候,container的容器中没有volcano-gpu-number这一个环境变量,在里面输入nvidia-smi能够看到该节点所有的gpu,想问一下是否需要更改yaml文件?
> > 你好,我在尝试volcano gpu number的服务调度,在根据volcano的教程步骤安装之后,每一个带gpu的node都能够正确的显示有多少块gpu,但是在创建pod的时候,container的容器中没有volcano-gpu-number这一个环境变量,在里面输入nvidia-smi能够看到该节点所有的gpu,想问一下是否需要更改yaml文件? > > Hey, which version do you make use of? volcano-1.6.0