Broadberry Lustre Storage

How Lustre Works

Lustre separates metadata operations from file-data transfers, allowing each part of the storage environment to scale around the workload.

Lustre Architecture Services

Before recommending a Lustre architecture, Broadberry evaluates how your applications access data, how many clients operate concurrently and where performance bottlenecks are most likely to occur.

Why Choose Lustre?

Match Lustre Storage to the Workload

Different workloads place very different demands on storage. Broadberry sizes Lustre around the application's actual I/O pattern rather than a single peak-bandwidth target.

Performance Is More Than Bandwidth

Peak storage bandwidth tells only part of the story. Lustre performance depends on the complete data path and the way applications access files.

Design for Availability and Recovery

Lustre availability depends on more than the filesystem itself. Broadberry designs storage, networking and recovery together to meet your availability requirements.

Lustre Storage Use Cases

Lustre is best suited to compute environments that benefit from shared, concurrent access to large or data-intensive file workloads.

Is Lustre Right for Your Environment?

Why Broadberry for Lustre?

Broadberry combines Lustre architecture expertise with workload-led hardware design to deliver a complete storage platform sized around the way your applications actually access data.

Workload-Led Design

Architecture based on your applications, clients and I/O requirements.

Complete System Engineering

Metadata, storage, compute, media and networking designed together.

Flexible Hardware

Choose HDD, SSD and NVMe configurations.

Deployment and Lifecycle Support

Qualification, validation, expansion and ongoing operational support.

Frequently Asked Questions About Lustre Storage

What is Lustre storage?

Lustre is an open-source parallel filesystem for Linux compute environments. It provides a shared namespace while distributing file data across multiple storage targets, allowing many clients to access shared datasets concurrently.

When should I use Lustre instead of a traditional file server?

Lustre is a strong fit when many compute clients need shared data and the required capacity or aggregate I/O exceeds the practical limits of a single storage server. For modest office file-sharing requirements, its additional complexity may not be justified.

Does Lustre require all-flash storage?

No. Lustre can use HDD, SSD or NVMe targets, or a combination. Media should be selected around capacity, metadata activity, latency and workload performance requirements.

Is Lustre suitable for AI and GPU clusters?

Yes. Lustre can provide shared access to training datasets across GPU servers while supporting parallel dataset reads and checkpoint writes. The architecture should be sized around actual application demand rather than GPU count alone.

Does file striping provide data protection?

No. Striping distributes data across storage targets to improve capacity and I/O parallelism. Data protection and recovery must be provided by the underlying storage and availability architecture.

Can Lustre handle small files?

Yes, with an appropriate metadata and file-layout design. Small-file performance should be tested using representative create, open, stat and delete activity rather than relying on large-file bandwidth tests.

Does a wider stripe always improve performance?

No. Stripe size and count should match the workload. Excessive striping can introduce unnecessary overhead, particularly with smaller files.

Can Lustre storage expand over time?

Yes. Additional storage targets can add capacity and throughput, while metadata resources can scale separately. Existing data placement and migration requirements should be considered as part of expansion planning.

Does Lustre replace backup?

No. Working-space protection and filesystem availability do not replace an independent backup. Backup and archive requirements should be designed separately.

Plan the Right Lustre Storage Platform

Tell us about your applications, compute clients, usable capacity, file profile and performance requirements. Broadberry will design the metadata, storage and networking architecture around your workload.