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In September 2018, DDN purchased the virtualization focused storage company [[Tintri]].<ref>[https://www.hpcwire.com/off-the-wire/ddn-completes-60-million-tintri-acquisition-and-enters-enterprise-virtualization-market/]</ref> In May, 2019, DDN acquired the [[software defined storage]] vendor Nexenta. In November 2019, DDN finalized the acquisition of the IntelliFlash division, formerly known as Tegile, from Western Digital Corporation [[Western Digital]].<ref>[https://searchstorage.techtarget.com/news/252471218/DDN-storage-expands-buys-Western-Digitals-IntelliFlash]</ref> These three acquisitions have been integrated to form an enterprise use case focused business unit under the Tintri Enterprise Business Unit.<ref>{{Cite web|last=Burt|first=Jeffrey|date=2019-10-09|title=DDN Uses Acquisitions to Grow In The Enterprise|url=https://www.nextplatform.com/2019/10/09/ddn-uses-acquisitions-to-grow-in-the-enterprise/|access-date=2021-03-04|website=The Next Platform|language=en-US}}</ref>
In November 2020, DDN announced they had won the business for University of Florida's new AI SuperComputer. Erik Deumens, director of information technology, UF said at the time, “Advancing our efforts to integrate AI across curriculum, improve research and empower students, as well as drive breakthroughs and discoveries are highly dependent on productive computing and efficient data systems, like those from DDN. We have a history of success with DDN storage systems powering our HPC computing and anticipate similar high productivity for our AI workloads."
In February of 2021, DDN reported revenues of $400M annually and claimed 11,000 customers globally.<ref>{{Cite web|last=Mellor|first=Chris|date=2021-03-02|title=Your occasional storage digest with Arcserve, StorageCraft, DDN, and more|url=https://blocksandfiles.com/2021/03/02/enterprise-storage-news-digest-arcserve/|access-date=2021-03-04|website=Blocks and Files|language=en-GB}}</ref>
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'''NexentaStor''' - Software-Defined Storage (SDS) – software-only storage solutions, suitable for deploying on open hardware servers to support telecoms and cloud services, supporting object-, file-, and block filesystem protocols.<ref>{{Cite web|last=Feldman|first=Michael|date=2019-05-06|title=DDN Adds Nexenta to Expanding Storage Empire|url=https://www.nextplatform.com/2019/05/06/ddn-expands-storage-empire/|access-date=2021-03-17|website=The Next Platform|language=en-US}}</ref>
== Typical Deployments ==
DDN’s At Scale storage solutions are typically deployed for applications which need low latency, high capacity and sustained throughput. In 2019, IDC estimated the worldwide storage market at approximately $28.7B<ref>{{Cite web|title=Worldwide and U.S. External Enterprise Storage Systems Forecast Update, 2020–2024|url=https://www.idc.com/getdoc.jsp?containerId=US46069720|access-date=2021-03-23|website=IDC: The premier global market intelligence company}}</ref>, while Intersect360 estimated the market for high-performance storage at approximately $5.8B<ref>{{Cite web|last=July 24|last2=2020|title=Worldwide HPC 2019 Total Market Model: Storage Revenue Shares|url=https://www.intersect360.com/reports/worldwide-hpc-2019-total-market-model-storage-revenue-shares|access-date=2021-03-23|website=www.intersect360.com|language=en}}</ref>. Typical deployments include:
{| class="wikitable"
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|'''AI and Deep Learning'''
|AI compute systems, typically consisting of arrays of GPUs, require high-bandwidth parallel access to very large volumes of unstructured data, to accelerate ingest, classification, machine learning and inference. DDN and NVIDIA have published reference architectures for AI and Deep Learning at scale.<ref>{{Cite web|title=What's New in Deep Learning & Artificial Intelligence from NVIDIA|url=https://www.nvidia.com/en-gb/data-center/resources/ddn-a3i-reference-architecture/|access-date=2021-03-23|website=NVIDIA|language=en-gb}}</ref>
|-
|'''Enterprise and Cloud at Scale'''
|Consolidation and orchestration of enterprise storage at scale, often looking to consolidate critical systems such as enterprise analytics, filesystems, virtual desktops, archiving and data management into a unified data platform, both in datacenters and the cloud.
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|'''Financial Services'''
|Analysis and decision making for high-frequency trading, typically requiring very low latency access to real-time trading records. 40% of leading global investment banks use DDN storage for high-speed analytics.
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|'''Life Sciences and Pharmaceuticals'''
|Analysis of clinical data such as imaging for automated diagnosis and predicting patient outcomes, and for bioinformatics such as molecular modeling, protein folding and genomic analysis. [[Wellcome Sanger Institute|The Sanger Institute]] has one of the largest sequencing centers in the world, and runs genome analysis for COG-UK on DDN’s EXAScaler high performance storage systems.<ref>{{Cite web|title=DDN Wins Multiple 2020 HPCwire Readers' and Editors' Choice Awards|url=https://www.hpcwire.com/off-the-wire/ddn-wins-multiple-2020-hpcwire-readers-and-editors-choice-awards/|access-date=2021-03-23|website=HPCwire|language=en-US}}</ref>
|-
|'''Autonomous Systems'''
|Data acquisition, Deep Learning, Machine Learning and inference to support self-governing systems, such as autonomous cars, boats, aircraft and manufacturing processes.
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|'''Imaging and Natural Language Processing'''
|Real-time analysis and classification of visual and audio data for video surveillance, industrial, environmental and aerospace applications.
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|'''Federal, Research & Academia'''
|National supercomputing resources for strategic research and development, including climate sciences, energy research, cosmology, and fundamental sciences. For example, the [[Fugaku (supercomputer)|Fugaku]] supercomputer is installed at the [[RIKEN]] Center for Computational Science in [[Kobe]], [[Japan]].
|-
|'''HPC'''
|High-performance computing systems, used for analytics, simulation and modelling, such as computational fluid dynamics or research sciences. Examples include energy, aerospace and engineering. In September 2020, was rated #1 overall in the Intersect360 User Survey for HPC Storage.<ref>{{Cite web|last=September 24|last2=2020|title=HPC User Ratings Survey: Awareness, Satisfaction, Loyalty Across Processors, Servers, Storage, Cloud|url=https://www.intersect360.com/reports/hpc-user-ratings-survey-awareness-satisfaction-loyalty-across-processors-servers-storage-cloud|access-date=2021-03-23|website=www.intersect360.com|language=en}}</ref>
|}
==Notable awards and achievements==
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* 2014: [[National Association of Broadcasters]]' Best of Show Award for its WOS object storage product.<ref>[http://www.videoedge.net/news/news-articles/and-winners-newbay-media-s-2014-best-show-awards-presented-video-edge-magazine-are/358711 Grotticelli, M.: “And the Winners of NewBay Media’s 2014 Best of Show Awards Presented by 'Video Edge' Magazine Are ...”], Video Edge, May 9, 2014]</ref>
* 2015: Best in Video Surveillance Data Storage Award for its GS7K appliance at the SIA New Product Showcase.<ref>https://www.securityindustry.org/Pages/PressReleases/2015/MorphoWAVE-from-Safran-Morpho-Named-Best-New-Product-at-SIA%E2%80%99s-2015-New-Product-Showcase.aspx</ref>
*2019: IDC noted that DDN was the fastest growing all flash array vendor.<ref>{{Cite web|last=Moore|first=Ben|title=IDC names DDN fastest-growing all-flash array vendor|url=https://datacenternews.us/story/idc-names-ddn-fastest-growing-all-flash-array-vendor|access-date=2021-03-23|website=datacenternews.us|language=en}}</ref>
==References==
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