October 11, 2013
Edinburgh Parallel Computing Centre (EPCC) is announcing a new HPC cloud project, called Fortissimo, aimed at boosting the competitiveness of European industry, specifically small and medium-sized enterprises (SMEs) who use digital simulation and modeling. Read more…
February 5, 2013
US Energy Secretary Steven Chu steps down after a controversial term in which he championed high performance computing, launched dozens of energy research centers, and led the government's attempts to help industry transform the country's energy landscape. But his most famous decision was the most politically divisive: backing a company called Solyndra. Read more…
February 13, 2012
Tech entrepreneur turned academic, Vivek Wadhwa is currently the Vice President of Academics and Innovation at Singularity University, an institution that educates a select group of leaders about exponentially growing technologies. In this interview for HPCwire, Wadhwa describes his thoughts on the culture of Silicon Valley, Singularity University, the rising costs of education, and the rapid evolution of technology. Read more…
Making the Most of Today’s Cloud-First Approach to Running HPC and AI Workloads With Penguin Scyld Cloud Central™
Bursting to cloud has long been used to complement on-premises HPC capacity to meet variable compute demands. But in today’s age of cloud, many workloads start on the cloud with little IT or corporate oversight. What is needed is a way to operationalize the use of these cloud resources so that users get the compute power they need when they need it, but with constraints that take costs and the efficient use of existing compute power into account. Download this special report to learn more about this topic.
Data center infrastructure running AI and HPC workloads requires powerful microprocessor chips and the use of CPUs, GPUs, and acceleration chips to carry out compute intensive tasks. AI and HPC processing generate excessive heat which results in higher data center power consumption and additional data center costs.
Data centers traditionally use air cooling solutions including heatsinks and fans that may not be able to reduce energy consumption while maintaining infrastructure performance for AI and HPC workloads. Liquid cooled systems will be increasingly replacing air cooled solutions for data centers running HPC and AI workloads to meet heat and performance needs.
QCT worked with Intel to develop the QCT QoolRack, a rack-level direct-to-chip cooling solution which meets data center needs with impressive cooling power savings per rack over air cooled solutions, and reduces data centers’ carbon footprint with QCT QoolRack smart management.
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