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Improve the speed and cost of HPC deployment with Mountpoint for Amazon S3

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This article discusses how to improve the speed and cost of HPC deployment by using Mountpoint for Amazon S3, an open-source file client that allows you to mount an S3 bucket on your compute instances and access it as a local file system.

Specifically, the article covers:

  • An introduction to Mountpoint for Amazon S3 and its benefits for HPC workloads
  • How to deploy Mountpoint for Amazon S3 in an AWS ParallelCluster using a Community Recipe Library
  • Running the IOR parallel I/O benchmark tool to test the performance of Mountpoint for Amazon S3 across the cluster
  • Performance results and observations, showing high read and write throughput when accessing data from S3 using Mountpoint
  • Conclusion highlighting the benefits of using Mountpoint for Amazon S3 for cost-efficient and scalable storage for ML training workloads


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