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Rigor and flexibility: the benefits of agent-based computational economics

In this post, we describe Agent-Based Computational Economics (ACE), and how extreme scale computing makes it beneficial for policy design. Read the Post on the AWS Blog Channel

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How to build clusters that span multiple AZs in a region

Building ParallelClusters that span multiple Availability Zones in a region take some careful planning with respect to storage and networking, but opens up options for more capacity - which is often the driver behind this design. Matt …

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Best practices for monitoring Amazon FSx for Lustre clients and file systems

Lustre is a high-performance parallel file system commonly used in workloads requiring throughput up to hundreds of GB/s and sub-millisecond per-operation latencies, such as machine learning (ML), high performance computing (HPC), video …

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Introducing a cost control solution for Amazon Braket

Everyone needs effective cost management. In this post, we’ll introduce you to an Amazon Braket cost-control solution, which we’ve open-sourced on GitHub under an MIT license. Read the Post on the AWS Blog Channel

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Performance analysis for different Amazon EFS throughput modes via Amazon CloudWatch

When I talk with customers about their file storage, I frequently get asked “How can I determine the right throughput capacity for my file storage?” The simple answer is through monitoring the performance of your workload to determine the …

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Streamlining distributed ML workflow orchestration using Covalent with AWS Batch

Complicated multi-step workflows can be challenging to deploy, especially when using a variety of high-compute resources. Covalent is an open-source orchestration tool that streamlines the deployment of distributed workloads on AWS …

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Perform batch transforms with Amazon SageMaker Jumpstart Text2Text Generation large language models

Today we are excited to announce that you can now perform batch transforms with Amazon SageMaker JumpStart large language models (LLMs) for Text2Text Generation. Batch transforms are useful in situations where the responses don’t need to be …

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Introducing GPU health checks in AWS ParallelCluster 3.6

AWS ParallelCluster 3.6.0 can now detect GPU failures in HPC and AI/ML tasks. Health checks run at the start of Slurm jobs and if they fail, the job is requeued on another instance. This can increase reliability and prevent wasted spend. …

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