Machine learning at scale using Kubeflow with Amazon EKS & Amazon EFS
summary
Shows how to run Kubeflow on Amazon EKS using the EFS CSI driver to mount shared storage, create a storage class, and run a TensorFlow training job that uses an EFS-mounted dataset; demo provisions the EFS file system, creates an access point, launches a Jupyter notebook, and runs a two-replica job that completes (training ends with ~52% accuracy for the small flowers dataset). Highlights EKS + Kubeflow + EFS, 500 TB customer example, and two TensorFlow replicas.
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chapters (7)
- 0:00ML with containers
- 1:59ML on Kubernetes
- 5:07Kubeflow and EFS overview
- 7:24Deep dive into Amazon EFS
- 16:05Architecture and setup
- 21:24Hands-on demonstration
- 43:00Resources and closing
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