A financial modeling firm is deploying a high-performance computing (HPC) application on a cluster of Amazon EC2 instances. The application requires concurrent, shared access to a POSIX-compliant file system. The file system must deliver sub-millisecond latencies and support parallel input/output (I/O) operations with a combined throughput of at least . Which two actions should a solutions architect take to meet these requirements? (Select TWO.)
- Create an Amazon FSx for Lustre persistent SSD file system to store the active datasets.Cevap
- Mount the file system on the EC2 instances using the open-source Lustre client.Cevap
- CConfigure Amazon EBS gp3 volumes with Multi-Attach enabled and mount them to all EC2 instances in the cluster.
- DCreate an Amazon EFS file system configured with Provisioned Throughput to meet the throughput requirement.
- EProvision an Amazon EBS io2 volume, enable Multi-Attach, format it with a standard ext4 file system, and mount it to all EC2 instances.
Cevap
Create an Amazon FSx for Lustre persistent SSD file system to store the active datasets, and mount the file system on the EC2 instances using the open-source Lustre client.
The correct solution involves creating an Amazon FSx for Lustre file system using SSD storage and mounting it via the Lustre client. FSx for Lustre is built specifically for HPC workloads, providing sub-millisecond latencies, high parallel throughput, and native POSIX compliance. The Lustre client enables parallel data transfer channels from the EC2 instances to the storage nodes.
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Selecting high-performance, scalable, parallel shared file systems for high-performance computing (HPC) workloads on AWS.
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