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Use Amazon SageMaker HyperPod and Anyscale for next-generation distributed computing

Favorite This post was written with Dominic Catalano from Anyscale. Organizations building and deploying large-scale AI models often face critical infrastructure challenges that can directly impact their bottom line: unstable training clusters that fail mid-job, inefficient resource utilization driving up costs, and complex distributed computing frameworks requiring specialized expertise. These

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Shared by AWS Machine Learning October 10, 2025

Implement a secure MLOps platform based on Terraform and GitHub

Favorite Machine learning operations (MLOps) is the combination of people, processes, and technology to productionize ML use cases efficiently. To achieve this, enterprise customers must develop MLOps platforms to support reproducibility, robustness, and end-to-end observability of the ML use case’s lifecycle. Those platforms are based on a multi-account setup by

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Shared by AWS Machine Learning October 9, 2025

Automate Amazon QuickSight data stories creation with agentic AI using Amazon Nova Act

Favorite Amazon QuickSight data stories support global customers by transforming complex data into interactive narratives for faster decisions. However, manual creation of multiple daily data stories consumes significant time and resources, delaying critical decisions and preventing teams from focusing on valuable analysis. Each organization has multiple business units, and each

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Shared by AWS Machine Learning October 8, 2025