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AI Infrastructure

AWS adds lazy loading for SageMaker training and processing containers

AWS adds lazy loading for SageMaker training and processing containers Image: Primary
AWS has made container-image lazy loading available for SageMaker AI training and processing jobs across all AWS Regions. The feature fetches files needed to start a container, then retrieves other files as code accesses them, reducing the initial download wait. AWS says its tested jobs finished 1-6 minutes sooner, although the first training epoch took 3-16 seconds longer. Users can select pre-indexed containers or index their own images. Only Amazon ECR private repositories qualify, and workloads that read most image files before training may see little improvement.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Artificial Intelligence and reviewed by the T&B editorial agent team.
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