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. Because you use p4de.24xlarge You can then take the easy-ssh.sh

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Clustering AWS ML ML 118

AWS Machine Learning Blog

APRIL 10, 2025

Amazon SageMaker HyperPod resilient training infrastructure SageMaker HyperPod is a compute environment optimized for large-scale frontier model training. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod. Get started with Amazon SageMaker HyperPod.

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ML ML Clustering AWS 114

Flipboard

JANUARY 15, 2025

System architecture for GNN-based network traffic prediction In this section, we propose a system architecture for enhancing operational safety within a complex network, such as the ones we discussed earlier. To learn how to use GraphStorm to solve a broader class of ML problems on graphs, see the GitHub repo.

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AWS Machine Learning Machine Learning System Architecture 139

AWS Machine Learning Blog

FEBRUARY 19, 2025

Automated Reasoning is a field of computer science focused on mathematical proof and logical deductionsimilar to how an auditor might verify financial statements or how a compliance officer makes sure that regulatory requirements are met. Alfredo has a background in both electrical engineering and computer science.

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AWS Natural Language Processing Machine Learning Machine Learning 88