Amazon SageMaker Studio provides IDEs and tools to build, train, and deploy machine learning models, while SageMaker HyperPod delivers resilient and scalable infrastructure for generative AI model development. In this video, we will show you how to integrate these two powerful features for large-scale model training, simplify GPU cluster creation and management, and enable efficient distributed training of large language models (LLMs) and foundation models (FMs).
Learn more about Amazon SageMaker HyperPod – https://go.aws/3WwsBA3
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