High performance computing (HPC) is critical to a wide range of research in a variety of disciplines, including artificial intelligence, bioscience, weather forecasting and more. Dell is doing its part to provide the technology to accelerate research, analysis and storage with its EMC HPC computing portfolio. Its EMC HPC solutions bring together servers, accelerators, liquid cooling and networking.
“Advances in IT are making HPC systems increasingly more powerful and innovative to accelerate the time necessary to reach new discoveries, but many still believe implementations can be complex,” says Thierry Pellegrino, vice president and general manager of HPC at Dell EMC. “Based on decades of experience with leading institutions, technology partners and strategic customers, Dell EMC provides an extensive portfolio of technologies that simplify HPC adoption to advance research and further democratize HPC. We remain focused on leading the way in HPC innovation and helping organizations of all types and sizes further advance expanding opportunities in artificial intelligence and machine learning.”
Some of the new HPC solutions include an EMC Isilon Scale-Out NAS storage, EMC PowerVault ME4 storage arrays, and a variety of servers to support the latest GPU and FPGA accelerators.
“One of the keys to Precision Medicine is being able to analyze the human genome, find abnormalities, then target them with specific treatments. Data sets using multiple inputs are becoming so massive, we must rely on Artificial Intelligence (AI) to help make sense of it all,” says James Lowey, CIO of TGen. “Dell Technologies is a critical partner as we push the science forward, and Dell EMC Isilon gives us a simple scale-out solution to manage and consume petabytes of data and to expedite genome processing from weeks to hours. When it comes to research that saves lives, where seconds matter, we rely on Dell EMC.”
To provide incentive to companies and promote practical applications of AI technology, Dell holds a EMC AI Challenge. The winner for 2018 is a research team at the Center of Space, High-Performance, and Resilient Computing (SHREC) at the University of Florida. For the challenge, SHREC was recognized for developing and demonstrating a heterogeneous computing system that can support a complete workflow-data analysis and pre-processing, model training, deployment and inferencing—for machine learning and can be applied to any application domain to leverage machine learning, including healthcare, business, finance, science exploration, and more.