Jacob Tomlinson • 7/27/2022

Using Dask on KubeFlow with the Dask Kubernetes Operator

This technical article details the integration of Dask, a parallel computing library, with the Kubeflow MLOps platform on Kubernetes. It covers how Dask can accelerate data loading and preparation (ETL) stages in ML workflows by distributing Pandas/NumPy operations across a cluster, enabling work with larger-than-memory datasets. The guide explains the setup within Kubeflow's environment and the benefits of using the Dask Kubernetes Operator for scaling computations beyond a single notebook instance.

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#Machine Learning #data processing #Kubernetes