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What is Lustre?

The Lustre file system is an open-source, parallel file system engineered to meet the rigorous demands of high-performance computing (HPC) simulation environments typically found in premier facilities. Whether you are part of our dynamic development community or assessing Lustre for your parallel file system needs, you will have access to a wealth of resources and support. With a POSIX-compliant interface, Lustre efficiently scales to support thousands of clients and manage petabytes of data while achieving remarkable I/O bandwidths that can surpass hundreds of gigabytes per second. Its architecture consists of crucial components, including Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Designed to create a cohesive, global POSIX-compliant namespace, Lustre is tailored for extensive computing environments, encompassing some of the largest supercomputing platforms available today. With the ability to handle vast amounts of data storage, Lustre emerges as a powerful solution for organizations aiming to effectively manage large datasets. Its adaptability and scalability render it an excellent choice across diverse applications in scientific research and data-intensive computing, reinforcing its status as a leading file system in the realm of high-performance computing. Organizations leveraging Lustre can expect enhanced data management capabilities and streamlined operations tailored to their computational needs.

What is HPE Pointnext?

The intersection of high-performance computing (HPC) and machine learning is imposing extraordinary demands on storage technologies, given the significantly varying input/output requirements of these two different workloads. This transformation is currently underway, with a recent study by the independent firm Intersect360 indicating that an impressive 63% of HPC users are now incorporating machine learning applications into their systems. Additionally, Hyperion Research anticipates that, if current trends persist, spending on HPC storage by public sector organizations and businesses will grow at a pace 57% quicker than investments in HPC computing over the next three years. In light of these changes, Seymour Cray famously remarked, "Anyone can build a fast CPU; the trick is to build a fast system." In the context of HPC and artificial intelligence, while it may appear simple to create rapid file storage solutions, the real challenge is in designing a storage system that is not only swift but also cost-effective and capable of scaling efficiently. We achieve this by incorporating leading parallel file systems into HPE's parallel storage solutions, ensuring that our approach prioritizes cost efficiency. This methodology not only addresses the immediate needs of users but also strategically positions us for future advancements in the field, allowing us to remain agile in a rapidly evolving technological landscape.

Media

Media

Integrations Supported

Amazon FSx for Lustre
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
Lucide
Qlustar
SQLXPress
TrinityX
XYGATE Identity Connector
XYGATE SecurityOne

Integrations Supported

Amazon FSx for Lustre
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
Lucide
Qlustar
SQLXPress
TrinityX
XYGATE Identity Connector
XYGATE SecurityOne

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

OpenSFS and EOFS

Company Location

United States

Company Website

www.lustre.org

Company Facts

Organization Name

Hewlett Packard

Date Founded

2015

Company Location

United States

Company Website

www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html

Categories and Features

HPC

Categories and Features

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