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Multi-Cloud Machine Learning Data and Workflow with Kubernetes

Offered By: Linux Foundation via YouTube

Tags

Kubernetes Courses Machine Learning Courses Autonomous Vehicles Courses Data Management Courses GPU Computing Courses Distributed Computing Courses Cloud Infrastructure Courses Hardware Acceleration Courses

Course Description

Overview

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Explore a comprehensive conference talk on building a multi-cloud machine learning platform using Kubernetes for autonomous vehicle development. Discover how Momenta manages training data across diverse environments, addresses multi-user and gang scheduling challenges, and supports heterogeneous hardware. Learn about the intricacies of training ML models in on-premises regions and public clouds with varying GPUs and network interfaces like Infiniband and RoCE. Gain insights into the critical role of hardware-accelerated machine learning in solving autonomous vehicle challenges such as tracking and classification. Delve into the strategies employed to overcome the complexities of multi-cloud environments and optimize ML workflows for enhanced efficiency and performance.

Syllabus

Multi-Cloud Machine Learning Data and Workflow with Kubernetes - Lei Xue & Fei Xue


Taught by

Linux Foundation

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