FSx for Lustre is also compatible with both x86-based EC2 instances and Arm-based EC2 instances powered by the AWS Graviton2 processor. Q: What instance types and AMIs work with Amazon FSx for Lustre?įSx for Lustre is compatible with the most popular Linux-based AMIs, including Amazon Linux, Amazon Linux 2, Red Hat Enterprise Linux (RHEL), CentOS, SUSE Linux and Ubuntu. For HDD-based file systems, the optional SSD cache improves performance by automatically placing your most frequently read data on SSD (the cache size is 20% of your file system size). Choose HDD storage for throughput-focused workloads that aren’t latency-sensitive. Q: How do I choose the right storage type for my application?Ĭhoose SSD storage for latency-sensitive workloads or workloads requiring the highest levels of IOPS/throughput. The data volumes attached to the file servers are replicated independently from the file servers to which they are attached. The file servers are highly available, and data is automatically replicated within the AWS Availability Zone (AZ) that is associated with the file system. Persistent file systems are designed for longer-term storage and workloads. Data is not replicated and does not persist if a file server fails. Scratch file systems are designed for temporary storage and shorter-term processing of data. Q: What is the difference between scratch and persistent deployment options?Īmazon FSx for Lustre provides two deployment options: scratch and persistent. Learn more about getting started with FSx for Lustre. Within minutes, your file system is running and accessible to your compute instances. With an AWS account, you can easily create a file system from the AWS Management Console, the AWS Command Line Interface (AWS CLI), or the Amazon FSx API (and various language-specific SDKs). If you do not have one, sign up on Sign up for AWS.
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To use Amazon FSx for Lustre, you must have an AWS account. Q: How do I get started with Amazon FSx for Lustre? Use Amazon FSx for Lustre for workloads where speed matters, such as machine learning, high performance computing (HPC), video processing, financial modeling, genome sequencing, and electronic design automation (EDA). Q: What use cases does Amazon FSx for Lustre support?
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It also provides multiple deployment options so you can optimize cost for your needs.Īmazon FSx also integrates with Amazon S3, making it easy for you to process cloud data sets with the Lustre high-performance file system. When linked to an S3 bucket, an FSx for Lustre file system transparently presents S3 objects as files and can automatically update the contents of the linked S3 bucket as files are added to, changed in, or deleted from the file system. Amazon FSx eliminates the traditional complexity of setting up and managing high-performance Lustre file systems, allowing you in minutes to spin up, run, and scale a battle-tested high-performance file system. Lustre was built to solve the problem of quickly and cheaply processing the world’s ever-growing data sets, and it’s the most widely used file system for the 500 fastest computers in the world.Īs a fully managed service, Amazon FSx brings Lustre to the masses, allowing you to use it for any workload where storage speed matters. The open source Lustre file system is designed for applications that require fast storage – where you want your storage to keep up with your compute. Amazon FSx for Lustre makes it easy and cost effective to launch, run, and scale the world’s most popular high-performance file system.