A research lab needs to process about 8 TB of data with sub-millisecond latencies and a minimum storage throughput of 6 GBps. Hundreds of Amazon Linux EC2 instances will distribute and process the data. Which solution meets the performance requirements?
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Correct answer: Create an Amazon S3 bucket to store the raw data. Create an Amazon FSx for Lustre file system that uses persistent SSD storage. Select the option to import data from and export data to Amazon S3. Mount the file system on the EC2 instances..
Why this is the answer
FSx for Lustre is optimized for high-performance computing (HPC) workloads, offering sub-millisecond latencies and high throughput, especially with persistent SSD storage, which directly addresses the 6 GBps requirement. Integrating with S3 allows for easy data import and export, making it suitable for processing large datasets. FSx for NetApp ONTAP is a good choice for enterprise workloads but might not consistently deliver the extreme throughput and low latency required for this specific HPC scenario compared to FSx for Lustre. Setting tiering policy to ALL or NONE doesn't fundamentally change its core performance profile to meet the 6 GBps throughput. Using FSx for Lustre with persistent HDD storage would not meet the sub-millisecond latency and 6 GBps throughput requirements, as HDDs are significantly slower than SSDs.
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