limengxuan

> > can this issue be reproduced without install Gpu Operator? > > I tried it. > > `volocano-device-plugin` pod on GPU node produced the following error output. > >...

Is your kubernetes cluster set up to use docker or containerd as its underlying container runtime? If it’s containerd, you need to follow the instructions under the containerd tab here...

/assign @william-wang @wangyang0616

> It is necessary to fix issue#3141. While there are several ways to add device score capability, like in `Device` interface or in nodeOrder plugin, there isn't a specific scenes...

> > > It is necessary to fix issue#3141. While there are several ways to add device score capability, like in `Device` interface or in nodeOrder plugin, there isn't a...

@Monokaix i put the device-score > It is necessary to fix issue#3141. While there are several ways to add device score capability, like in `Device` interface or in nodeOrder plugin,...

这个建议使用vgpu-scheduler，目前vgpu-device-plugin只支持到cuda11.3，更新版本的cuda任务就会出现你说的那个问题，如果存在使用困难的话，欢迎加我wx:xuanzong4493

该功能暂时不支持

Could you tell me the k8s version and the type of GPU on that node?

Hello and thanks for your issue, unfortunately we are not compatible with DCGM, but we have our own monitor system, please refer to this repo: https://github.com/4paradigm/k8s-vgpu-scheduler