GitHub - bbrfkr/deployKF: deployKF builds world-class data and machine learning platforms on any Kubernetes cluster, in any cloud or environment.
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deployKF helps you build world-class data and machine learning platforms on any Kubernetes cluster, in any cloud or environment.
Our vision is that anyone with Kubernetes experience can effortlessly build and support a custom data and machine learning platform for their organization, without requiring specialized MLOps knowledge.
Why use deployKF?
By combining the ease of a managed service with the flexibility of a self-hosted solution;
deployKF creates a platform tailored to your organization's needs, while not also requiring a team of MLOps experts to build and maintain it.
The key features of deployKF are:
Runs on any Kubernetes, including on-premises and in the cloud
If you need commercial support for deployKF, please contact Aranui Solutions.
Aranui Solutions is a US-based company founded by the creators of deployKF to help organizations build ML & Data Platforms on Kubernetes.
deployKF is a new and growing project.
If you like what we are doing, please help others discover us by sharing the project with your colleagues and/or the wider community.
Also, we greatly appreciate GitHub Stars ⭐ on the deployKF/deployKF repository.
Finally, please consider adding your organization to the deployKF Adopters list.
Other Resources
Release Information
For more information about our releases, please see:
deployKF was originally created and is maintained by Mathew Wicks (GitHub: @thesuperzapper), a Kubeflow lead and maintainer of the popular Apache Airflow Helm Chart.
deployKF is a community-led project that welcomes contributions from anyone who wants to help.
How are Kubeflow and deployKF related?
Kubeflow and deployKF are two different but related projects.
For more details, please see our deployKF vs Kubeflow comparison.
Do you have a Slack or Mailing List?
Yes! For more information, please see our community page.
About
deployKF builds world-class data and machine learning platforms on any Kubernetes cluster, in any cloud or environment.