Virtual Event
August 17–August 20, 2020
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Wednesday, August 19 • 13:45 - 14:20
Taming Data/State Challenges for ML Applications and Kubeflow - Skyler Thomas, Hewlett Packard Enterprise

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The Kubeflow project brings incredibly powerful Machine Learning frameworks like TensorFlow and PyTorch to Kubernetes. The ability to parallelize training and the ability to scale workflows up and down is revolutionary. However, state and persistent storage are a much bigger challenge for machine learning workloads because of their training data, library files, and models. We will discuss what it took to create AI/ML environments running thousands of pods and that request petabytes of training data.

We will explore the various state and storage challenges that crop up when you are building Kubeflow applications. We will discuss where distributed persistent storage solutions fit in the picture. We will address various storage api's including: POSIX/CSI solutions, NFS, S3, and HDFS fit into solutions. Data security and privacy issues will be discussed.

avatar for Skyler Thomas

Skyler Thomas

Distinguished Technologist, Hewlett Packard Enterprise
Skyler Thomas is a Distinguished Technologist and Hewlett Packard Enterprise. He the chief architect for Kubernetes based Artificial Intelligence and Machine Learning at HPE. He joined HPE in the MapR acquisition where he he helped customers design ML simulation environments with... Read More →

Wednesday August 19, 2020 13:45 - 14:20 CEST
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