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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 DDN Infinite Memory Engine (IME)?

The convergence of major technological progress and market dynamics necessitates a fresh strategy for optimizing high-efficiency input/output operations. As various non-volatile memory (NVM) technologies continue to emerge alongside the exponential growth of media capacities, the increasing adoption of many-core processor architectures is intensifying I/O demands and complicating requirements. Meanwhile, high-value sectors are utilizing analytics and machine learning to further test the boundaries of performance. Traditional file systems are finding it difficult to effectively manage flash storage at scale, while the effectiveness of hard disk drives declines with heightened concurrency levels. In light of these challenges, IME provides steady job performance, boosts computation for large data sets that surpass memory limits, accelerates applications that are I/O-intensive, and offers a dependable, economical, and space-efficient method for handling varying data loads. This innovative approach is critical for addressing the evolving challenges associated with contemporary data processing requirements. Furthermore, adapting to these shifts will allow organizations to remain competitive and efficient in an increasingly data-driven landscape.

Media

Media

Integrations Supported

IBM Cloud
Kubernetes
Red Hat OpenShift
Sesterce
Stor2RRD

Integrations Supported

IBM Cloud
Kubernetes
Red Hat OpenShift
Sesterce
Stor2RRD

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

DDN Storage

Date Founded

1998

Company Location

United States

Company Website

www.ddn.com/products/ime-flash-native-data-cache/

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