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    Accelerating ML with Kubeflow for Autonomous Vehicles

    MLOps.community0.0
    55 minutes
    English
    0/47 уроков (0%)
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    Accelerating ML with Kubeflow for Autonomous Vehicles

    YouTube·Kubeflow

    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Dive into a comprehensive 55-minute conference talk from MLOps Community Meetup #119 featuring Aurora Innovation's senior engineers discussing how they accelerated machine learning model development for autonomous vehicles using Kubeflow. Learn about the evolution of Kubeflow infrastructure, pipeline building, developer experience, and the benefits of using pipelines. Explore the process of adopting Kubeflow organization-wide, including local deployment, multi-user setup, authentication, high availability, and lessons learned. Gain insights into Aurora's AV development workflow, pain points, and solutions implemented through Kubeflow components. Discover how the team leverages various tools like Batch API, Sagemaker, and GitHub PR comments in their pipeline design. Get recommendations for those starting with Kubeflow and understand its comparison with other competitors in the MLOps space.

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