AWS Machine Learning Blog

MAY 14, 2025

You can execute each step in the training pipeline by initiating the process through the SageMaker control plane using APIs, AWS Command Line Interface (AWS CLI), or the SageMaker ModelTrainer SDK. In response, SageMaker launches training jobs with the requested number and type of compute instances to run specific tasks.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

It is important to consider the massive amount of compute often required to train these models. When using compute clusters of massive size, a single failure can often throw a training job off course and may require multiple hours of discovery and remediation from customers. To check the AWS CLI version, use the following command.

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Clustering AWS ML ML 123

Flipboard

JANUARY 15, 2025

The AWS global backbone network is the critical foundation enabling reliable and secure service delivery across AWS Regions. Specifically, we need to predict how changes to one part of the AWS global backbone network might affect traffic patterns and performance across the entire system.

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AWS Machine Learning Blog

APRIL 10, 2025

The failed instance also needs to be isolated and terminated manually, either through the AWS Management Console , AWS Command Line Interface (AWS CLI), or tools like kubectl or eksctl. About the Authors Anoop Saha is a Sr GTM Specialist at Amazon Web Services (AWS) focusing on generative AI model training and inference.

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AWS Machine Learning Blog

FEBRUARY 19, 2025

AWS FSI customers, including NASDAQ, State Bank of India, and Bridgewater, have used FMs to reimagine their business operations and deliver improved outcomes. The new Automated Reasoning checks safeguard is available today in preview in Amazon Bedrock Guardrails in the US West (Oregon) AWS Region. Happy building!

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