What is the version?
4.1.1-4.0.4
What happened?
I started several Pods on the A100 using mps, and running dcgm-exporter with env: KUBERNETES_VIRTUAL_GPUS: true,although each pod can be bound to an metric with label vgpu:xx,but all the pod metrics have the same value in the time series.Each pod should use a different case of gpu, otherwise these same value of pod indicators would not be meaningful?
What did you expect to happen?
All Pods should have different metric values for usage
What is the GPU model?
A100
What is the environment?
No response
How did you deploy the dcgm-exporter and what is the configuration?
No response
How to reproduce the issue?
No response
Anything else we need to know?
No response
What is the version?
4.1.1-4.0.4
What happened?
I started several Pods on the A100 using mps, and running dcgm-exporter with env: KUBERNETES_VIRTUAL_GPUS: true,although each pod can be bound to an metric with label vgpu:xx,but all the pod metrics have the same value in the time series.Each pod should use a different case of gpu, otherwise these same value of pod indicators would not be meaningful?
What did you expect to happen?
All Pods should have different metric values for usage
What is the GPU model?
A100
What is the environment?
No response
How did you deploy the dcgm-exporter and what is the configuration?
No response
How to reproduce the issue?
No response
Anything else we need to know?
No response