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Kubeflow Pipelines on-prem with MiniKF
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An end-to-end ML pipeline on-prem: Notebooks & Kubeflow Pipelines on the new MiniKF.
We showcase a simplified data science experience, which improves a user's workflow, removing the need for even a hint of K8s knowledge. We also introduce the first steps towards a unified integration of Notebooks & Kubeflow Pipelines.
In a nutshell, this tutorial will highlight the following benefits of using MiniKF, Kubeflow, and Rok:
- Easy execution of a local/on-prem Kubeflow Pipelines e2e example
- Seamless Notebook and Kubeflow Pipelines integration with Rok
- KFP workflow execution without K8s-specific knowledge
Have questions or need help? Join us on the #minikf channel in Kubeflow Community Slack:
#kubeflow, #mlops #machinelearning
We showcase a simplified data science experience, which improves a user's workflow, removing the need for even a hint of K8s knowledge. We also introduce the first steps towards a unified integration of Notebooks & Kubeflow Pipelines.
In a nutshell, this tutorial will highlight the following benefits of using MiniKF, Kubeflow, and Rok:
- Easy execution of a local/on-prem Kubeflow Pipelines e2e example
- Seamless Notebook and Kubeflow Pipelines integration with Rok
- KFP workflow execution without K8s-specific knowledge
Have questions or need help? Join us on the #minikf channel in Kubeflow Community Slack:
#kubeflow, #mlops #machinelearning