Accelerating ETL on KubeFlow with RAPIDS
Read OriginalThis technical article demonstrates how to integrate the RAPIDS data science framework into KubeFlow to accelerate ETL pipelines and data processing tasks using GPUs. It covers setting up a GPU-enabled Kubernetes cluster on GKE, installing KubeFlow, and scaling workloads with Dask for multi-GPU, multi-node performance within machine learning workflows.
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