Shanghai, China
June 24–26, 2019
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Tuesday, June 25 • 18:15 - 18:50
Multi-Cloud Machine Learning Data and Workflow with Kubernetes - Lei Xue, Momenta & Fei Xue, Google

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Autonomous vehicles require hardware accelerated machine learning for critical problems such as tracking and classification. Momenta trains ML models in on-prem regions and public clouds, each comes with different GPUs and network interfaces (Infiniband, RoCE).

In this talk we discuss how we use Kubernetes to build a multi-cloud ML platform - in particular how we manage training data across different environments; how we address multi-user and gang scheduling; and how we support heterogeneous hardware.


Fei Xue

Product Manager, Ant Financial
Fei Xue is currently a product manager at Ant Financial working on ML and data platform. Fei was an early member of the Kubeflow team at Google, an open source effort to help developers and enterprise develop and deploy cloud-native machine learning everywhere. Fei comes from a distributed... Read More →
avatar for Lei Xue

Lei Xue

Infrastructure Tech Lead, Momenta
Lei Xue currently works as an AI Infrastructure tech lead at Momenta. He leads a development team that focuses on GPU cluster management for Kubernetes&Docker. Previously, Lei was a member of KataContainers/Hyper team and the software engineer of Oracle/Sun Microsystems. He is also... Read More →

Tuesday June 25, 2019 18:15 - 18:50 CST