SAA-C03 Q379 · Storage

Question

A machine learning (ML) team is building an application that uses data that is in an Amazon S3 bucket. The ML team needs a storage solution for its model training workflow on AWS. The ML team requires high- performance storage that supports frequent access to training datasets. The storage solution must integrate natively with Amazon S3. Which solution will meet these requirements with the LEAST operational overhead?

Accepted Answer

Amazon FSx for Lustre is purpose-built for this exact use case. Here's how it satisfies every requirement:

1. **High-performance storage**: FSx for Lustre is a fully managed high-performance parallel file system designed for workloads like ML training. It delivers sub-millisecond latencies, up to hundreds of GB/s throughput, and millions of IOPS.

2. **Frequent access to training datasets**: Lustre is optimized for compute-intensive workloads that require fast, frequent access to large datasets. It caches frequently accessed data automatically.

3. **Native S3 integration**: This is the key differentiator. FSx for Lustre can be **linked directly to an S3 bucket** as a data repository. When you create the file system, you specify an S3 bucket, and FSx for Lustre automatically presents S3 o

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