Which solution will meet these requirements?
Create an Amazon S3 bucket. Import the data into the S3 bucket. Configure an AWS Storage Gateway file gateway to use the S3 bucket. Access the file gateway from the HPC cluster instances.
Create an Amazon S3 bucket. Import the data into the S3 bucket. Configure an Amazon FSx for Lustre file system, and integrate it with the S3 bucket. Access the FSx for Lustre file system from the HPC cluster instances.
Create an Amazon S3 bucket and an Amazon Elastic File System (Amazon EFS) file system. Import the data into the S3 bucket. Copy the data from the S3 bucket to the EFS file system Access the EFS file system from the HPC cluster instances.
Create an Amazon FSx for Lustre file system. Import the data directly into the FSx for Lustre file system. Access the FSx for Lustre file system from the HPC cluster instances.
Explanations:
Using AWS Storage Gateway file gateway does not provide the required sub-millisecond latency or high throughput necessary for HPC applications. It introduces additional latency due to the translation between S3 and the file interface.
Amazon FSx for Lustre provides high performance with sub-millisecond latencies and is optimized for HPC workloads. Integrating it with S3 allows the HPC cluster to access the data efficiently, leveraging the fast throughput of FSx for Lustre.
While EFS provides good performance, it does not meet the required sub-millisecond latency consistently for HPC workloads. Copying data from S3 to EFS adds complexity and potential latency, making it less suitable for high-performance access.
Although Amazon FSx for Lustre is the right solution for performance, importing data directly into FSx for Lustre may not be possible without the Snowball Edge device integration process. This option does not account for the existing data transfer method used with the Snowball devices.