AWS Machine Learning Blog

APRIL 10, 2025

As cluster sizes grow, the likelihood of failure increases due to the number of hardware components involved. Each hardware failure can result in wasted GPU hours and requires valuable engineering time to identify and resolve the issue, making the system prone to downtime that can disrupt progress and delay completion.

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AWS Machine Learning Blog

DECEMBER 4, 2024

Businesses are under pressure to show return on investment (ROI) from AI use cases, whether predictive machine learning (ML) or generative AI. Only 54% of ML prototypes make it to production, and only 5% of generative AI use cases make it to production. Using SageMaker, you can build, train and deploy ML models.

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AWS Machine Learning Blog

SEPTEMBER 18, 2024

The compute clusters used in these scenarios are composed of more than thousands of AI accelerators such as GPUs or AWS Trainium and AWS Inferentia , custom machine learning (ML) chips designed by Amazon Web Services (AWS) to accelerate deep learning workloads in the cloud.

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AWS Machine Learning Blog

APRIL 2, 2025

At its core, Ray offers a unified programming model that allows developers to seamlessly scale their applications from a single machine to a distributed cluster. Ray promotes the same coding patterns for both a simple machine learning (ML) experiment and a scalable, resilient production application.

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AWS Machine Learning Blog

MAY 14, 2025

The following diagram illustrates the solution architecture for training using SageMaker HyperPod. With HyperPod, users can begin the process by connecting to the login/head node of the Slurm cluster. Alternatively, you can also use AWS Systems Manager and run a command such as the following to start the session.

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AWS Machine Learning Blog

JUNE 6, 2025

In this post, we discuss how an enterprise with multiple accounts can access a shared Amazon SageMaker HyperPod cluster for running their heterogenous workloads. Account A hosts the SageMaker HyperPod cluster. To access Account A’s EKS cluster as a user in Account B, you will need to assume a cluster access role in Account A.

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Snorkel AI

MAY 3, 2023

In this article, we share our journey and hope that it helps you design better machine learning systems. Table of contents Why we needed to redesign our interactive ML system In this section, we’ll go over the market forces and technological shifts that compelled us to re-architect our ML system.

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