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A major achievement of JobSet has been the adoption of JobSet as a component for [Kubeflow Training Operator](https://github.com/kubeflow/training-operator) V2.
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There has been a collaborative effort with the Kubeflow community and the batch community to implement the features needed for this integration.
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A major achievement of JobSet has been the adoption of JobSet
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as a component for [Kubeflow Trainer](https://github.com/kubeflow/trainer) V2, the next generation of the Kubeflow Training Operator project.
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[Metaflow](https://github.com/Netflix/metaflow/pull/1804) has adopted the use of JobSet for distributed ML training.
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@@ -92,6 +92,11 @@ WG-Batch provided a series of kubernetes enhancements that improved the experien
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### Talks
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- Democratizing AI Model Training on Kubernetes with Kubeflow TrainJob and JobSet
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### Community adoption
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-[Kubeflow Training Operator v2](https://github.com/kubeflow/training-operator/blob/0c30f5cd306611f061b6dd529d3c7b7981a7d27c/docs/proposals/2170-kubeflow-training-v2/README.md#kep-2170-kubeflow-training-v2-api) will be using JobSet as a critical component for training and finetuning.
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-[Kubeflow Trainer v2](https://github.com/kubeflow/trainer/tree/62e958fa8c07ae73be0b10a30e1fb5e4c3d0e8f3/docs/proposals/2170-kubeflow-training-v2) will be using JobSet as a critical component for distributed training and LLMs fine-tuning.
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-[Metaflow supports JobSet](https://github.com/Netflix/metaflow/pull/1804) for distributed training.
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- Airflow has built an [integration](https://airflow.apache.org/docs/apache-airflow-providers-cncf-kubernetes/stable/_api/airflow/providers/cncf/kubernetes/operators/kueue/index.html) with Kueue.
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