Native Kubernetes integration for Dask.
This is a forked version of Dask-Kubernetes that aims to provide an enhanced integration with Kubeflow, allowing for efficient distributed computing on Kubernetes within the Kubeflow ecosystem.
Dask-Kubernetes is a powerful tool that enables distributed computing with Dask on Kubernetes clusters. This fork focuses on improving the integration of Dask with Kubeflow, an open-source machine learning (ML) platform built on Kubernetes. By leveraging Dask's parallel computing capabilities, users can seamlessly execute scalable and distributed ML workloads on Kubeflow.
To use this forked version effectively, please ensure you have the following prerequisites in place:
This project is licensed under the MIT License. It is based on the original Dask-Kubernetes project by the Dask development team. We would like to acknowledge their valuable work and thank the community for their contributions.
Feel free to adapt and modify this example text to suit your specific changes and requirements.