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What is IBM Elastic Storage System?

The IBM Elastic Storage System (ESS) is a sophisticated solution for software-defined storage, facilitating the implementation of rapid and scalable storage options specifically created for AI and big data use cases. It employs state-of-the-art NVMe storage technology known for its low latency and remarkable performance, in conjunction with the vast 8YB global file system and extensive data services that IBM Spectrum Scale provides. Both the ESS 3200 and ESS 5000 nodes can scale to YB configurations within a cohesive global storage framework that connects edge, core data centers, and even the public cloud. By merging storage demands and eliminating silos across different platforms like Kubernetes and Red Hat OpenShift, IBM ESS not only boosts efficiency but also reduces acquisition expenses and streamlines the management of storage assets. This system is crafted to accommodate a wide array of intensive workloads, ensuring that organizations achieve optimal performance throughout their operations. Additionally, the adaptability and scalability of the IBM ESS position it as an excellent option for enterprises aiming to meet the changing demands of data storage, thereby future-proofing their infrastructure. Ultimately, this empowers businesses to remain competitive in a data-driven 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
IBM Cloud
Kubernetes
Red Hat OpenShift
SQLXPress
Stor2RRD
XYGATE Identity Connector
XYGATE SecurityOne

Integrations Supported

Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
IBM Cloud
Kubernetes
Red Hat OpenShift
SQLXPress
Stor2RRD
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/elastic-storage-system

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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