Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
The convergence of high-performance computing (HPC) and machine learning is placing unprecedented requirements on storage solutions, as the input/output demands of these two distinct workloads diverge significantly. This shift is occurring at this very moment, with a recent analysis from the independent firm Intersect360 revealing that a striking 63% of current HPC users are actively implementing machine learning applications. Furthermore, Hyperion Research projects that, if trends continue, public sector organizations and enterprises will see HPC storage expenditures increase at a rate 57% faster than HPC compute investments over the next three years. Reflecting on this, Seymour Cray famously stated, "Anyone can build a fast CPU; the trick is to build a fast system." In the realm of HPC and AI, while creating fast file storage may seem straightforward, the true challenge lies in developing a storage system that is not only quick but also economically viable and capable of scaling effectively. We accomplish this by integrating top-tier parallel file systems into HPE's parallel storage solutions, ensuring that cost efficiency is a fundamental aspect of our approach. This strategy not only meets the current demands of users but also positions us well for future growth.
Description
The Lustre file system is a parallel, open-source file system designed to cater to the demanding requirements of high-performance computing (HPC) simulation environments often found in leadership class facilities. Whether you are part of our vibrant development community or evaluating Lustre as a potential parallel file system option, you will find extensive resources and support available to aid you. Offering a POSIX-compliant interface, the Lustre file system can efficiently scale to accommodate thousands of clients, manage petabytes of data, and deliver impressive I/O bandwidths exceeding hundreds of gigabytes per second. Its architecture includes essential components such as Metadata Servers (MDS), Metadata Targets (MDT), Object Storage Servers (OSS), Object Server Targets (OST), and Lustre clients. Lustre is specifically engineered to establish a unified, global POSIX-compliant namespace suited for massive computing infrastructures, including some of the largest supercomputing platforms in existence. With its capability to handle hundreds of petabytes of data storage, Lustre stands out as a robust solution for organizations looking to manage extensive datasets effectively. Its versatility and scalability make it a preferable choice for a wide range of applications in scientific research and data-intensive computing.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon FSx for Lustre
No
Automai Robotic Process Automation
Yes
Check Point IPS
Yes
Check Point Infinity
Yes
Lucide
No
Qlustar
No
SQLXPress
Yes
TrinityX
No
XYGATE Identity Connector
Yes
XYGATE SecurityOne
Yes
Integrations
Amazon FSx for Lustre
Yes
Automai Robotic Process Automation
No
Check Point IPS
No
Check Point Infinity
No
Lucide
Yes
Qlustar
Yes
SQLXPress
No
TrinityX
Yes
XYGATE Identity Connector
No
XYGATE SecurityOne
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Hewlett Packard
Founded
2015
Country
United States
Website
www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html
Vendor Details
Company Name
OpenSFS and EOFS
Country
United States
Website
www.lustre.org