Dell EMC has introduced new high performance computing (HPC) cloud offerings, software, systems and customer success, continuing its focus on democratising HPC for enterprises of all sizes, optimising 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.”
Democratising 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:
· The Dell EMC HPC System for Life Sciences will be available with the PowerEdge C6320p Server with the Intel® Xeon Phi™ processor by early Q1 2017. This accelerates results for bioinformatics centers to identify treatments in clinically relevant timeframes while protecting confidential data. · New cloud bursting services from Cycle Computing, enabling cloud orchestration and management, connecting to the three largest public cloud services including Azure, AWS and Google. This allows customers of all sizes to most efficiently utilise their on-premises systems while seamlessly providing access to the vast resources of the public cloud for HPC needs. · Dell EMC will offer customers the Intel® HPC Orchestrator this quarter to help simplify the installation, management and ongoing maintenance of high-performance computing systems. Intel® HPC Orchestrator, based on the OpenHPC open source project, can help accelerate customers’ time to results and value in their HPC deployments.
Optimising HPC Portfolio for Performance and Efficiency
Dell EMC, as the global leader in server shipments, enterprise storage and converged systems, offers a robust portfolio optimised for HPC, available all in one place. New examples of innovative HPC technology being demonstrated at SC16 this week include:
· Dell EMC PowerEdge C4130 and R730 servers are now available with NVIDIA® Tesla™ P100 accelerators, designed to boost throughput and save money for HPC and hyperscale data centers, advancing intensive deep learning applications and applying artificial intelligence techniques to drive advances in science. · The University of Pisa is using the Dell EMC PowerEdge C4130 servers, with NVIDIA Tesla P100 accelerators and NVIDIA Deep Learning GPU Training System (DIGITS), for deep learning of DNA sequencing. · Additions of Dell EMC Isilon, DSSD, ScaleIO and Elastic Cloud Storage (ECS) to the expanded HPC portfolio to further accelerate storage and cloud capabilities for HPC customers.
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.
