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Bring a Machine Learning Application in Managed Kubernetes

Tuesday, Apr. 28, 2020 | 3:00 PM - 3:45 PM UTC+2:00

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Kubernetes makes deployments of machine learning (ML) workflows to be simple, portable and scalable. We will demonstrate setting up K8s GPU clusters, deploying Jupyter Notebook data science environment, traning machine learning model in a distributed running environment and deploying prediction application in cloud native.


  • Overview
  • ML Challenges
  • K8S MNIST Demo
  • Kubernetes/Kubeflow
  • Kubernetes/Kubeflow/Arena
  • ML Solution
  • ML Production Case


  • Dr. Jianhua Shao

    Solution Architect, Alibaba Cloud Intelligence

    Dr. Jianhua Shao is a data scientist in Alibaba Cloud Intelligence International. Although London based, he works to design and deliver Alibaba cloud solution for Alibaba global customers, with a primary focus in data, AI and finance.

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