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What is Red Hat OpenShift Data Foundation?

Red Hat® OpenShift® Data Foundation, previously referred to as Red Hat OpenShift Container Storage, is a versatile software-defined storage solution specifically designed for container environments. Serving as the core platform for data and storage services within Red Hat OpenShift, it allows teams to develop and deploy applications quickly and efficiently across multiple cloud platforms. Developers, even those with limited expertise in storage, can easily provision storage directly through Red Hat OpenShift, maintaining focus on their main interface without any interruptions. This solution supports a variety of data formats, including files, blocks, and objects, meeting the diverse needs of enterprise Kubernetes workloads. Furthermore, our dedicated technical team is on hand to work alongside you in crafting a strategy that meets your specific storage needs for both hybrid and multicloud container environments, ensuring that your infrastructure is fine-tuned for optimal performance and scalability. By leveraging this robust platform, organizations can enhance their operational efficiency and responsiveness in the ever-evolving cloud landscape.

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

Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
Ozone
Red Hat OpenShift
SQLXPress
XYGATE Identity Connector
XYGATE SecurityOne

Integrations Supported

Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
Ozone
Red Hat OpenShift
SQLXPress
XYGATE Identity Connector
XYGATE SecurityOne

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

Red Hat

Date Founded

1993

Company Location

United States

Company Website

www.redhat.com/en/technologies/cloud-computing/openshift-data-foundation

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

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