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…
Today, manufacturers of all sizes face many challenges. Not only do they need to deliver complex products quickly, they must do so with limited resources while continuously innovating and improving product quality. With the use of computer-aided engineering (CAE), engineers can design and test ideas for new products without having to physically build many expensive prototypes. This helps lower costs, enhance productivity, improve quality, and reduce time to market.
As the scale and scope of CAE grows, manufacturers need reliable partners with deep HPC and manufacturing expertise. Together with AMD, HPE provides a comprehensive portfolio of high performance systems and software, high value services, and an outstanding ecosystem of performance optimized CAE applications to help manufacturing customers reduce costs and improve quality, productivity, and time to market.
Read this whitepaper to learn how HPE and AMD set a new standard in CAE solutions for manufacturing and can help your organization optimize performance.
A workload-driven system capable of running HPC/AI workloads is more important than ever. Organizations face many challenges when building a system capable of running HPC and AI workloads. There are also many complexities in system design and integration. Building a workload driven solution requires expertise and domain knowledge that organizational staff may not possess.
This paper describes how Quanta Cloud Technology (QCT), a long-time Intel® partner, developed the Taiwania 2 and Taiwania 3 supercomputers to meet the research needs of the Taiwan’s academic, industrial, and enterprise users. The Taiwan National Center for High-Performance Computing (NCHC) selected QCT for their expertise in building HPC/AI supercomputers and providing worldwide end-to-end support for solutions from system design, through integration, benchmarking and installation for end users and system integrators to ensure customer success.
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