Refresh your Lustre knowledge

And put it to work on your next project.

The exascale era is closing in and Lustre is more important than ever. Without the right data storage, your HPC workloads can fall behind.

Learn why you should choose Lustre for your next HPC project in this on-demand webinar.

Cray storage experts discuss the state of community Lustre and the major contributors who are advancing it in the HPC community.

The webinar covers topics including:

What advanced Lustre
architecture means for
system performance

The Lustre roadmap
and associated
development activities

How Cray storage
technology fits into the
big picture for Lustre

Watch the on-demand webinar and find out more about using Lustre for your HPC projects.


Explore related resources:

Related Resources

Interactive Demo: Cray ClusterStor Storage

Take a 3D tour and interact with our virtual rack to learn more about Cray ClusterStor storage.

The Cray ClusterStor Difference: Better Quality, Better Design, Better ROI

Cray ClusterStor storage systems balance the value equation by providing enterprise-level performance with more capacity, fewer drives, less IT support required, and more access to data — all of which leads to the lowest TCO.

Infographic: Mind the Gap: Are You About to Fall Into a Budget Shortage?

High-performance computing (HPC) is growing rapidly — and so is the amount of data that needs to be accessed and stored. Are you investing properly to make sure your HPC storage system can handle it, now and in the coming years?

Infographic: Life Sciences Evolution Timeline

Life Sciences Evolution Timeline

Cray ClusterStor NXD Performance Comparison

In this white paper, learn why flash acceleration — and Cray’s ClusterStor NXD software stack — can be a smart choice for your HPC storage requirements.

Cray I/O Solutions: ClusterStor NXD Flash Accelerator for Data Storage

Cray’s ClusterStor NXD Flash Accelerator Intelligent I/O Manager is designed to seamlessly handle small file I/O and large, sequential I/O acceleration for scale-out parallel file systems.

See All Resources