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Average Ratings 0 Ratings

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ease
features
design
support

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Description

GlusterFS is an adaptable network filesystem designed for high-demand applications, including cloud storage solutions and media streaming. This software is both free and open source, making it compatible with readily available hardware. It functions as a scalable, distributed file system that merges storage resources from various servers into a unified global namespace. Organizations have the flexibility to expand their capacity, performance, and availability as needed without being tied to a specific vendor, whether they operate on-premises, in the public cloud, or in hybrid settings. Many organizations across diverse sectors such as media, healthcare, government, education, web 2.0, and financial services have adopted GlusterFS for their production environments. The system is capable of scaling to several petabytes and efficiently managing thousands of clients while ensuring POSIX compatibility. It operates on standard commodity hardware and supports any on-disk filesystem that allows extended attributes. Furthermore, GlusterFS can be accessed via widely-used protocols like NFS and SMB, and it offers essential features including replication, quotas, geo-replication, snapshots, bitrot detection, and much more, ensuring data integrity and availability. Its versatility and robust capabilities make it a preferred choice for organizations looking to optimize their data storage solutions.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Automai Robotic Process Automation No 
Check Point IPS No 
Check Point Infinity No 
KubeSphere Yes 
Migrateq Yes 
Pavilion HyperOS Yes 
SQLXPress No 
XYGATE Identity Connector No 
XYGATE SecurityOne No 

Integrations

Automai Robotic Process Automation Yes 
Check Point IPS Yes 
Check Point Infinity Yes 
KubeSphere No 
Migrateq No 
Pavilion HyperOS No 
SQLXPress Yes 
XYGATE Identity Connector Yes 
XYGATE SecurityOne Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Gluster

Founded

2005

Country

United States

Website

docs.gluster.org/en/latest/

Vendor Details

Company Name

Hewlett Packard

Founded

2015

Country

United States

Website

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

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