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https://github.com/kubernetes-retired/kube-batch

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
https://github.com/kubernetes-retired/kube-batch

bigdata hpc k8s-sig-scheduling kubernetes machine-learning

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A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

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# kube-batch

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`kube-batch` is a batch scheduler for Kubernetes, providing mechanisms for applications which would like to run batch jobs leveraging Kubernetes. It builds upon a decade and a half of experience on running batch workloads at scale using several systems, combined with best-of-breed ideas and practices from the open source community.

Refer to [tutorial](doc/usage/tutorial.md) on how to use `kube-batch` to run batch job in Kubernetes.

## Overall Architecture

The following figure describes the overall architecture and scope of `kube-batch`; the out-of-scope part is going to be handled by other projects.

![kube-batch](doc/images/kube-batch.png)

## Who uses kube-batch?

As the kube-batch Community grows, we'd like to keep track of our users. Please send a PR with your organization name.

Currently **officially** using kube-batch:

1. [openBCE](https://github.com/openbce)
1. [Kubeflow](https://www.kubeflow.org)
1. [Volcano](https://github.com/volcano-sh/volcano)
1. [Baidu Inc](http://www.baidu.com)
1. [TuSimple](https://www.tusimple.com)
1. [MOGU Inc](https://www.mogujie.com)
1. [Vivo](https://www.vivo.com)

## Community, discussion, contribution, and support

Learn how to engage with the Kubernetes community on the [community page](http://kubernetes.io/community/).

You can reach the maintainers of this project at:

- Slack: #sig-scheduling
- Mailing List: https://groups.google.com/forum/#!forum/kubernetes-sig-scheduling

### Code of conduct

Participation in the Kubernetes community is governed by the [Kubernetes Code of Conduct](code-of-conduct.md).