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+# Donate MPI-Operator.v2 repo to kubernetes-sigs
+ Donate the kubeflow/mpi-operator to a more generic/neutral place (e.g. K8s-sigs) where this project could be beneficial to more people, not limiting to ML-specific workloads. Especially given that now kubeflow/training-operator gets heavier, people should be given the option to only install MPI Operator for their use cases.
+
+ During kubernetes SIG-APPS (Mar-7 2022) [call]((https://github.com/kubernetes/community/tree/master/sig-apps#meetings)) the topic was proposed to the SIG chairs, and they agreed to sponsor the repo.
+
+- [Motivation](#motivation)
+- [Goals](#goals)
+- [Non-Goals](#non-goals)
+- [Process](#process)
+- [Alternatives Considered](#alternatives-considered)
+
+<!-- END doctoc generated TOC please keep comment here to allow auto update -->
+
+_Status_
+
+* 2022-03-11 - Proposed 
+
+## Motivation
+Kubeflow currently is moving to an [Unified operator](https://github.com/kubeflow/training-operator)
+The motivation is to encourage non-training users (like HPC) to use and contribute to mpi-operator, without having to install or learn about kubeflow's training-operator.
+
+## Goals
+* Migrate repo kubeflow/mpi-operator/v2 to kubernetes-sigs/mpi-operator
+* Kubeflow declares the kubernetes-sigs/mpi-operator as a dependency
+* The Kubeflow Training WG continues to be involved in the mpi-operator development, proposing and implementing changes that align with the needs of AI/ML.
+
+## Non-Goals
+* Migrate kubeflow/mpi-operator.v1
+
+## Process
+
+* Donate kubeflow/mpi-operator to kuberenetes-sigs as detailed [here](https://github.com/kubernetes/community/blob/master/github-management/kubernetes-repositories.md#rules-for-donated-repositories), being tracked [here](https://github.com/kubeflow/mpi-operator/issues/459)
+* Close https://github.com/kubeflow/training-operator/issues/1479
+* Close https://github.com/kubeflow/mpi-operator/issues/422
+* Re-org the repo to remove dependency on kubeflow/common
+* Cut a first release under k8s-sigs
+
+## Alternatives Considered
+Continue to maintain the MPI-Operator as a stand alone project unregarless of the development of the universal operator, for non AI/ML use cases.