September 5, 2013
Cloud computing has emerged as a model to address a broad range of computing needs and promises to solve all but world peace. The idea of utility or on-demand computing is hardly new but the business models and technology have matured sufficiently to propel the concept firmly back into the limelight. High Performance Computing (HPC) is where most progressive businesses should be focusing their Big Data and Big Compute efforts. Read more…
September 3, 2013
Lawrence Livermore National Laboratory's High Performance Computing Innovation Center (HPCIC) in the US and the Science and Technology Facilities Council (STFC) in the United Kingdom are combining efforts to help industry stakeholders in both countries leverage supercomputing to accelerate innovation and boost economic competitiveness. Read more…
March 28, 2012
One of the prominent themes of this week's High Performance Computer and Communications Council (HPCC) Conference revolved around the question of why many users with a need for HPC are still resistant to adopting the technology. John West, the Director of the DoD's High Performance Computing Modernization Program, and the organizer of this years HPCC program, talked at length about this particular phenomenon in his conference kickoff presentation. Read more…
June 7, 2010
The missing middle in HPC has been estimated by some to be in the many millions, but reaching this vast segment has been nearly impossible in any cohesive way. The cloud is granting access to the elite space, slowly but surely, and bringing the world more in line with the capabilities and competitive advantages provided by HPC. 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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