Using FSx-Lustre for high performance shared storage - Using Ellexus Breeze for EDA Workload Migration to AWS

Using FSx-Lustre for high performance shared storage

For this example, there are no shared file system dependencies when running on AWS. If the workflow had dependencies on shared file systems, using Amazon FSx for Lustre can provide the necessary performance to run EDA workflows on AWS. Additionally, the project data and results can be stored in Amazon S3, and before the instances are launched, the FSx-Lustre file system can be populated with the data from Amazon S3. This eliminates the need for a local instance store. It would then be possible to terminate the compute instances and post process the results in bulk from the shared storage.