DDN Reports Results for First Half of 2014

August 19, 2014

SANTA CLARA, Calif., Aug. 19 — DataDirect Networks (DDN) today announced impressive revenue traction for the first six months of 2014, demonstrating a strong trajectory of profitable growth for the company heading into the second half of the year.

The company added more than 20 net new petabyte-class customers including one of world’s largest banks, a leader in global oil and gas exploration, and a major Japan-based automobile manufacturing company, increasing the storage capacity sold year-to-date to over 250PBs.

In the first half of the year, DDN experienced more than 100 percent growth in its Enterprise Big Data and Object based business compared to the first half of 2013, driven by significant growth in Financial Services (FSI), Life Sciences and Energy Exploration markets.

Building on the company’s 1H14 momentum which included new partnerships, expanded footprint and industry recognition, DDN also opened a Paris Advanced Technology Center to enhance its European technology innovation.

Business Highlights: Strong Enterprise and HPC Business, Market and Customer Momentum

As worldwide demand for DDN high-performance, massively scalable storage for Big Data and Cloud use cases grows, current customers continue to broaden their use of the company’s technology offerings while new customers including James Cook University, Japan National Statistics Center (NSTAC), and NSW Office of Environment & Heritage adopt DDN technology.

Coinciding with rapid sales growth, DDN has accelerated its worldwide employee hiring. The company has grown headcount 20 percent since Q1 and plans to add significant further headcount by year’s end. Key hires include new additions to the company’s technical, engineering, sales, marketing and quality assurance teams.

As a commitment to the European market and large user support needs, DDN has also added a new European Advanced Technology Center just outside of Paris. With upwards of 50 employees expected to be hired in the next year, the Center will be a hotbed of research and development focused on innovation in areas such as end-to-end big data lifecycle management and accelerating time to insight through analytics and application acceleration.

Building on its history of supporting the world’s largest, most data-intensive environments, DDN continued to strengthen its technology partnerships in a number of areas notably in supporting object and cloud storage environments. In addition to joining the Active Archive Alliance, DDN also announced a partnership with Hyve Solutions to release the industry’s first enterprise OCP-compliant webscale object storage appliance.

DDN also invested in strengthening its leadership teams in the first half of 2014, adding Molly Rector as the company’s first Chief Marketing Officer, Bob Merkert as Vice President of Federal Sales, and current Cisco Vice President and Treasurer, Roger Biscay to its Board of Directors.

Technology Momentum Fueled by Big Data, Cloud Computing and Web 2.0 Requirements

Rapid data center evolution fueled by such trends as cloud computing, mobility, big data and social networks is prompting customers to look to new technologies specifically designed to deal with rapidly growing amounts of data and changing workloads. The performance, efficiency, scale and density realities that organizations face today require infrastructures that tightly integrate compute, storage and networking all managed by software, which aim to make infrastructures more programmable, automated, flexible and cost-effective.

DDN is focused on addressing these customer requirements and new workload demands with solutions founded on an integrated portfolio of offerings across different tiers of storage including fast data, persistent data and distributed data, all managed by an intelligent resource management layer.

Over the course of the first half of 2014, DDN’s focus on end-to-end data lifecycle for Big Data storage, analytics, cloud and hyperscale use cases, resulted in several new product introductions, including:

  • Object Storage: WOS Technology – Enabling organizations to a build highly reliable, infinitely scalable storage pool for all their unstructured data needs, DDN WOS 360, announced in March 2014, redefines the architecture of scale-out storage infrastructures through a broad set of sophisticated new data protection, archive, collaboration and distribution capabilities designed specifically to meet the five key object storage requirements of customers today: scalability, accessibility, efficiency, reliability and performance. Delivering trillion-file scalability and 200x performance increases over previous generations, when used with the low cost Archive Node, in combination with Global ObjectAssure, WOS 360 helps drive down costs by up to 20 percent.
  • Block Storage: SFA 12K and SFA7700 Appliance Series – In June 2014, DDN announced the world’s highest density storage system with 5 PBs in a single rack. An industry first, the DDN ultra high density SS8460 disk drive enclosures, in conjunction with DDN’s SFA storage platforms, nearly doubles the amount of storage in a single rack than was previously available, providing up to 40 percent more density as compared to even the highest density storage array offerings available in the market today, slashing Operational Expense by half and delivering unprecedented levels of performance and scalability for organizations looking to solve their Big Data challenges.
  • File Storage: WOS-Bridge and EXAScaler and GRIDScaler – Allowing users for the first time to connect their parallel file systems to the cloud, WOS-Bridge, announced in June 2014, when deployed in conjunction with DDN’s parallel file system appliances, EXAScaler and GRIDScaler, provides users seamless cloud tiering, content collaboration and archive of up to hundreds of PBs of parallel file system data across local and remote sites and the cloud, all within one global namespace. This enables enterprises, researchers and educational facilities to increase time to discovery and insight, while significantly reducing complexity of managing islands of information, and slashing storage TCO and management costs.

Industry Accolades

Independent recognition for the company’s technology leadership in the first half of 2014 included:

  • Gartner – In February 2014, Gartner rated DDN Excellent in its 2013 ‘Critical Capabilities for Object Storage’ research report.
  • NewBay Media – In April 2014, from a pool of hundreds of competing new products at the NAB show in Las Vegas, DDN WOS technology was awarded Media and Entertainment (M&E) industry’s prestigious Best of Show Award.

“We are very pleased that our solutions for Big Data storage, object and lifecycle data management are gaining significant recognition in many areas in the enterprise such as finance services, oil and gas, automotive and life sciences. We doubled our revenue in the Enterprise Big Data and Cloud markets in the first half of 2014, achieved profitability and opened a European advanced technology center in Paris. Our solid management team, comprehensive end-to-end Big Data and Cloud storage product portfolio, global footprint and strong profitable growth, ideally position us to continue to capitalize on the Big Data and Cloud market opportunity in the second half of 2014 and beyond,” said Alex Bouzari, CEO, DDN.

Source: DataDirect Networks

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

NSF Project Sets Up First Machine Learning Cyberinfrastructure – CHASE-CI

July 25, 2017

Earlier this month, the National Science Foundation issued a $1 million grant to Larry Smarr, director of Calit2, and a group of his colleagues to create a community infrastructure in support of machine learning research Read more…

By John Russell

DARPA Continues Investment in Post-Moore’s Technologies

July 24, 2017

The U.S. military long ago ceded dominance in electronics innovation to Silicon Valley, the DoD-backed powerhouse that has driven microelectronic generation for decades. With Moore's Law clearly running out of steam, the Read more…

By George Leopold

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in 2017 with scale-up production for enterprise datacenters and Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Servers Deliver High Performance Remote Visualization

Whether generating seismic simulations, locating new productive oil reservoirs, or constructing complex models of the earth’s subsurface, energy, oil, and gas (EO&G) is a highly data-driven industry. Read more…

Trinity Supercomputer’s Haswell and KNL Partitions Are Merged

July 19, 2017

Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated are now available for use on classified work in the Nationa Read more…

By HPCwire Staff

NSF Project Sets Up First Machine Learning Cyberinfrastructure – CHASE-CI

July 25, 2017

Earlier this month, the National Science Foundation issued a $1 million grant to Larry Smarr, director of Calit2, and a group of his colleagues to create a comm Read more…

By John Russell

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's out Read more…

By Tiffany Trader

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee Read more…

By Alex R. Larzelere

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provid Read more…

By Tiffany Trader

Satellite Advances, NSF Computation Power Rapid Mapping of Earth’s Surface

July 13, 2017

New satellite technologies have completely changed the game in mapping and geographical data gathering, reducing costs and placing a new emphasis on time series Read more…

By Ken Chiacchia and Tiffany Jolley

Intel Skylake: Xeon Goes from Chip to Platform

July 13, 2017

With yesterday’s New York unveiling of the new “Skylake” Xeon Scalable processors, Intel made multiple runs at multiple competitive threats and strategic Read more…

By Doug Black

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This