You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I hope spiderpool could be support to select a reasonable VF based on the topology of GPU and PF.
Why is this needed?
I think this feature can better take advantage of computing power performance, especially in AI training scenarios.
How to implement it (if possible)?
I might start with topology awareness、scheduler improvements and CNI optimization. It seems that kubelet can only randomly allocate vf, and I do not plan to optimize kubelet, but give the scheduling results to CNI.
Additional context
Hope to build this function together.
The text was updated successfully, but these errors were encountered:
What would you like to be added?
I hope spiderpool could be support to select a reasonable VF based on the topology of GPU and PF.
Why is this needed?
I think this feature can better take advantage of computing power performance, especially in AI training scenarios.
How to implement it (if possible)?
I might start with topology awareness、scheduler improvements and CNI optimization. It seems that kubelet can only randomly allocate vf, and I do not plan to optimize kubelet, but give the scheduling results to CNI.
Additional context
Hope to build this function together.
The text was updated successfully, but these errors were encountered: