ray-project / ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

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[Ray PlacementGroup] Is there any plan or consideration to support the PlacementGroup's Resize capability?

infzo opened this issue · comments

commented

Description

Function requirement: After a PlacementGroup of Ray is created, the resource size can be adjusted to adapt to the AutoScale of the K8S cluster.

Currently, it is found that a corresponding solution was proposed in 2021, [WIP] [Placement Group] resizing placement group feature part1: dynamic add bundles. by clay4444 · Pull Request #19753 · ray-project/ray

Not sure why there is no follow up support? Is there a reason or an alternative solution?

Use case

No response

Currently it's not supported. We will re-implement placement group using virtual cluster (ray-project/enhancements#49) and we can consider supporting re-sizing there.