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Dell EMC Expands High Performance Computing Portfolio with Advances in Cloud, Software and Systems

SALT LAKE CITY — (BUSINESS WIRE) — November 15, 2016 — Dell EMC:

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Dell EMC today announced new high performance computing (HPC) cloud offerings, software, systems and customer success, continuing its focus on democratizing HPC for enterprises of all sizes, optimizing HPC technology innovations and advancing the HPC community.

“The global HPC market forecast exceeds $30 billion in 2016 for all product and services spending, including servers, software, storage, cloud, and other categories, with continued growth expected at 5.2 percent CAGR through 2020,” said Addison Snell, CEO, Intersect360 Research. “Bolstered by its combination with EMC, Dell will hold the number-one position in total HPC revenue share heading into 2017.”

Democratizing HPC to Extend Capabilities to Mainstream Enterprises

As a global leader in high performance computing, Dell EMC continues to bring HPC capabilities to mainstream enterprises, announcing today:

Optimizing HPC Portfolio for Performance and Efficiency

Dell EMC, as the global leader in server shipments, enterprise storage and converged systems, offers a robust portfolio optimized for HPC, available all in one place. New examples of innovative HPC technology being demonstrated at SC16 this week include:

Advancing the HPC Community, Enabling Customers to Accelerate Pace of Innovation

MIT Lincoln Laboratory Supercomputing Center (LLSC) has selected Dell EMC to install a 648-node HPC system through the Dell EMC and Intel early access program for the Intel® Xeon Phi™ processor. LLSC’s new “TX-Green” system, one of the largest of its kind on the US East Coast, exceeds one petaflop and has provided the center with a 4X computing capacity boost.

The new HPC system provides the LLSC’s researchers and collaborators a dramatic increase in its interactive, on-demand HPC and big data capabilities to enable research in fields such as space observations, robotic vehicles, cyber security, machine learning, sensor processing, electronic devices, bioinformatics, and air traffic control.

Peking University has selected Dell EMC to install two HPC clusters to further cryo-electron microscopy (cryo-EM) cooperative research with Harvard University. These clusters, with 144 nodes and approximately two petabytes of storage with Intel EE Lustre, will enable university researchers to map the three-dimensional structure of biological macromolecules to design inhibitors and develop new drugs to treat or cure patients of cancer and other diseases.

Additional Quotes:

Jim Ganthier, senior vice president, Validated Solutions and HPC Organization, Dell EMC
“Dell EMC is uniquely capable of breaking through the barriers of data-centric HPC and navigating new and varied workloads that are converging with big data and cloud. We are collaborating with the HPC community, including our customers, to advance and optimize HPC innovations while making these capabilities easily accessible and deployable for organizations and businesses of all sizes.”

Jeremy Kepner, MIT Lincoln Laboratory Fellow and head of the Lincoln Laboratory Supercomputing Center
“Dell EMC has been a great partner in enabling us to dramatically increase the capabilities of our supercomputing center. The Dell HPC team was very knowledgeable and responsive and able to deliver, install, and benchmark our Petaflop-scale system in less than a month. This was a great example of a well-coordinated and dedicated organization that was able to allocate the appropriate resources to exceed customer expectations.”

Dr. Youdong “Jack” Mao, Assistant Professor of Biophysics, Peking University
“The HPC clusters from Dell EMC are critical to our research missions that highly depend on the analysis of big data generated from highly automated cryo-electron microscopes. The HPC systems facilitate the development of state-of-the-art algorithms in pursuit of structural solutions to those grand biomedical problems, which would deliver innovations in cancer immunotherapy and precision medicine.”

Jason Stowe, CEO, Cycle Computing
“Hybrid solutions are the future for HPC customers and teaming with Dell EMC to meet that need is very exciting. The Dell EMC team clearly understands this market and their customers. With their unique insight, we believe our combined forces will deliver real value to customers, enabling them to significantly reduce their queue times, instant access to increased capacity when needed, and the ability to easily manage it all.”

Charles Wuischpard, vice president, Data Center Group, Intel
“We’re entering an era where personalized medicine can help to save and improve lives like never before. We continue to collaborate with Dell on bringing Intel Scalable System Framework based clusters to market, and the Dell EMC PowerEdge C6320p server, based on Intel Xeon Phi processor, Intel® HPC Orchestrator, and Intel Omni-path Architecture fabric, will help customers solve some of the most important life science and deep learning challenges.”

Ian Buck, vice president of accelerated computing, NVIDIA
“The NVIDIA Tesla P100 is the most powerful GPU accelerator ever built for high performance computing, big data analytics and artificial intelligence. We are working with Dell EMC to target some of the world’s most complex visual computing problems in life sciences, research, and A.I., and the PowerEdge C4130 and R730 servers were built to supercharge these applications.”

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DELL EMC

Dell EMC, a part of Dell Technologies, enables organizations to modernize, automate and transform their data center using industry-leading converged infrastructure, servers, storage and data protection technologies. This provides a trusted foundation for businesses to transform IT, through the creation of a hybrid cloud, and transform their business through the creation of cloud-native applications and big data solutions. Dell EMC services customers across 180 countries – including 98 percent of the Fortune 500 – with the industry’s most comprehensive and innovative portfolio from edge to core to cloud.

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