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AWS reimagines AI lifecycle management with Unified Studio and HyperPod

  • Amazon SageMaker has evolved into a comprehensive platform integrating data management and AI development.
  • The SageMaker AI rebrand aims to enable faster and scalable innovation by addressing infrastructure, governance, and ease of use.
  • SageMaker Unified Studio combines data preparation, machine learning model development, and governance in a unified interface, streamlining the AI lifecycle.
  • HyperPod, a purpose-built feature for gen AI, addresses challenges in scaling GPU and Trainium clusters and provides flexible training plans for efficient compute resource management.

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