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Explore the AWS re:Invent catalog to discover a wide variety of session types, activities, and more. Or visit our Content Types and Policies page to learn more about how to navigate our catalog and event. New content is added regularly, and all content is subject to change.

Registration
1 sessions
  • Breakout session
    AI/ML
    Serverless Compute & Containers
    Manufacturing & Industrial
    Lambda-Based Applications
    Startup
    Cost Optimization
    300 – Advanced
    Data Scientist
    Developer / Engineer
    DevOps Engineer
    Mandalay Bay
    Amazon SageMaker
    Amazon Simple Queue Service (Amazon SQS)
    AWS Lambda
    8:00 a.m. Wednesday, Dec 04
    Wednesday, Dec 04
    Explore how serverless containers revolutionize machine learning (ML) deployment at scale. This session showcases Instrumental’s journey in using serverless technologies for deep learning, creating a simple, scalable, and cost-effective architecture. Learn how we combined Amazon SageMaker and AWS Lambda to scale training jobs and predictions. Delve into serverless options for ML use cases and discover strategies to implement this serverless approach and optimize your MLOps for both internal and external users.

    , Machine Learning Engineering Manager, Instrumental

    , Senior Developer Advocate, AWS

    • Wednesday, Dec 48:30 AM - 9:30 AM PST
      Mandalay Bay | Lower Level North | Islander F