Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
A combination of significant technological advancements and commercial trends is driving the need for an innovative approach to high-performance input/output operations. The emergence of various non-volatile memory (NVM) technologies is expanding alongside rapidly growing media capacities. Additionally, the adoption of diverse many-core processor architectures is resulting in increased I/O demands and more complex I/O requirements. Emerging high-value business sectors are leveraging analytics and machine learning, further pushing the limits of performance capabilities. Conventional file systems struggle to efficiently handle flash storage at scale, while the performance of hard disk drives diminishes with higher levels of concurrency. In this context, IME offers consistent job performance, enhances computation for data sets that exceed memory limits, accelerates I/O-heavy applications, and provides a reliable, cost-effective, and space-efficient solution for managing fluctuating data loads. This new paradigm is essential for meeting the challenges posed by modern data processing needs.
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
API Access
Has API
Integrations
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
SQLXPress
Sesterce
XYGATE Identity Connector
XYGATE SecurityOne
Integrations
Automai Robotic Process Automation
Check Point IPS
Check Point Infinity
SQLXPress
Sesterce
XYGATE Identity Connector
XYGATE SecurityOne
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DDN Storage
Founded
1998
Country
United States
Website
www.ddn.com/products/ime-flash-native-data-cache/
Vendor Details
Company Name
Hewlett Packard
Founded
2015
Country
United States
Website
www.hpe.com/us/en/solutions/hpc-high-performance-computing/storage.html