September 21, 2017
Google has taken down the notice on its cloud platform website that says Nvidia Tesla P100s are “coming soon.” That's because the search giant has announced Read more…
August 11, 2015
Despite high initial interest, HPC in the cloud never achieved significant adoption levels, mainly being relegated to low-hanging "pleasingly parallel" fruit a Read more…
September 15, 2014
Many IT organizations are seeking a new approach to the data management challenges presented when using multiple clouds. In particular, they want an approach th Read more…
August 18, 2014
Distributed computing has undergone many permutations, from its roots in grid computing to support large scientific endeavors to Sun-style utility computing, to Read more…
May 10, 2013
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost. Read more…
April 17, 2013
After a lengthy incubation phase, Microsoft is finally ready to release its IaaS product into the wild. AWS, look out. Read more…
March 14, 2013
The top research stories of the week include the 2012 Turing Prize winners; an examination of MIC acceleration in short-range molecular dynamics simulations; a new computer model to help predict the best HIV treatment; the role of atmospheric clouds in climate change models; and more reliable HPC cloud computing. Read more…
December 4, 2012
AWS used its first ever customer and partner conference, AWS re: Invent, held last week in Las Vegas, as a launch pad for some major company news. During their respective keynotes, AWS Senior Vice President Andrew Jassy revealed a brand new data warehouse service, AWS Redshift, and another price cut for the S3 storage service, while Amazon.com CTO Werner Vogels announced two super-sized EC2 Instance Types, and another new service, the AWS Data Pipeline. 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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