Gartner Reprint

Gartner Reprint


“AI engineering is a discipline that encompasses a streamlined AI development life cycle, including DataOps, ModelOps and DevOps, and uninterrupted transitions for AI models across operational and maintenance environments.”

DDN Gartner Reprint

Gartner is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved

Gartner, Top Strategic Technology Trends for 2022: AI Engineering, Kevin Gabbard, Soyeb Barot, Jitendra Subramanyam, 18 October 2021

At DDN, we believe that a fully integrated AI platform, with full orchestration of Compute, Network and Storage is the best way to support these evolving disciplines, to provide the tools for continuous delivery and optimization of AI services.

​Download this research note from Gartner to learn how IT leaders who industrialize AI solution delivery will create vastly greater value faster and compound these gains as AI solutions scale enterprisewide:


Intelligent Infrastructure

DDN’s Enterprise Division, Tintri, provides solutions that combine autonomous operations with real-time insights and AI-driven analytics.

Workload Consolidation:

No-Silo, Flexible and, Single-System for physical and virtualized environments

Intelligent Infrastructure:

Automation and visibility for virtualized environments

More Visibility,
Accuracy and Control

Simplifying and Providing True Insight:


DDN is transforming the way customers are storing, managing and using their data for differentiation and discovery.

We simplify the complex and bring intelligence to challenging workflows. With a comprehensive portfolio, DDN powers the world’s data intensive workflows in all industries.

Unmatched performance and scale coupled with expertise gained through more than 20 years’ experience means we help customers store and access more data faster, on premises and in the cloud.

DDN’s scale-out, parallel architecture delivers the
performance we need to keep stride with the rapid
pace of science research and discovery at Harvard.
There is no contention for resources and no complaints
from our users, which empowers us to focus on the research.

~ Scott Yockel, PhD | Director of Research Computing

Harvard University



Harvard University

DDN delivered a 900% improvement in read capability
at a low cost while enabling us to access millions of small
files on dedicated solid-state modules while continuing
to stream very large data files simultaneously. Simple data
queries that used to take two minutes now take two seconds.​

~ Mike Shuey​ | Research Infrastructure Architecture​

Purdue University​​



Purdue University

“We’ll save hundreds of thousands of dollars by centralizing
storage on DDN for data-intensive research and a dozen
data-hungry scientific instruments. We can elevate the
standard of protection, increase compliance and push
the boundaries of science on a single yet highly scalable
storage platform. That’s why DDN is core to our operation
and a major asset to our scientists.​

~ Zachary Ramjan​ | Computing Architect

Van Andel Research Institute​



Van Andel Research Institute

With DDN’s expertise in AI storage, NAVER
will continue to lead AI research and develop
products that create value for our users.







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