Amazon SageMaker HyperPod is purpose-built to accelerate foundation model (FM) training. Join this session to learn how to train FMs for weeks and months without disruption with Amazon SageMaker HyperPod. Discover how it continuously monitors cluster health and repairs and replaces faulty nodes on the fly to automatically resume training without losing progress. Learn about how it is preconfigured with SageMaker distributed training libraries that make it possible for you to improve FM training performance by making it easy to split training data and FMs into smaller chunks and process them in parallel across the cluster nodes while fully utilizing the cluster’s compute and network infrastructure.
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