The giant company Dell EMC has announced new bundles of high performance computing (HPC) cloud package, software and systems to make more HPC services available to enterprises of all sizes, optimize HPC technology innovations, and advance 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," as stated by Addison Snell, CEO of Intersect360 Research.
"Bolstered by its combination with EMC, Dell will hold the number-one position in total HPC revenue share heading into 2017," added by Addison Snell.
Surrounded by the new products and services is the new "HPC System for Life Sciences," which will be equipped with the PowerEdge C6320p Server by the first quarter 2017. The company said the new life science service accelerates concludes for bioinformatics centers to identify treatments in clinically relevant timeframes while protecting confidential data.
"Highly parallelized computing plays an important role in high performance computing. Compared to serial computing; parallel computing is much better suited for modeling, simulating and understanding complex, real world phenomena," as stated by Ed Turkel, HPC Strategist at Dell EMC.
The "PowerEdge C6320p Server" is specifically designed to address this parallel processing environment to drive improved performance and faster big data analysis.
"Dell EMC" has been increasingly placing its bets on HPC services, opening a portfolio of several new HPC technologies earlier this month. The company introduced its PowerEdge C4130 and R730 servers created to boost throughput and improve cost savings for HPC and hyper scale data centers to support more broad learning applications and artificial intelligence techniques in technological and scientific fields such as DNA sequencing.
"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.