April 26, 2022
In the third of a series of guest posts on heterogeneous computing, James Reinders shares experiences surrounding the creation of ASCI Red and ties that system' Read more…
January 8, 2013
40-teraflop machine will replace aging stable of clusters. Read more…
December 6, 2012
With the recent introduction of Intel's first Xeon Phi coprocessors, NVIDIA's latest Kepler GPUs, and AMD's new FirePro S10000 graphics cards, the competition for HPC chip componentry has entered a new phase. The three chipmakers have taken somewhat different paths, though, and it will be up to the market to decide which vendor's approach will win the day. Read more…
November 8, 2012
AMD-loving Cray has launched the XC30 supercomputer, a product line that will be powered by Intel Xeon processors. The platform is based on the company's "Cascade" architecture, which is designed to bring a variety of processors and coprocessors under a common infrastructure. XC will become Cray's flagship computing platform as it phases out its XE and XK line over the next year or so. Read more…
May 30, 2012
Don't have a super budget? You can still own a premier high performance supercomputer with proven technology and reliability. New entry-level configurations and options enable you to configure the optimal balance of price, performance, power, and footprint for your unique and exacting requirements. Read more…
May 2, 2011
India announced a vast improvement over its former top supercomputer this morning with the introduction of the GPU-boosted SAGA-220, a 220-teraflop machine designed to tackle some of the country's most challenging space and aeronautical problems. 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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