November 16, 2013
As supercomputers continue to grow, so do the associated electricity bills. These costs are now a leading component of total cost of ownership (TCO) of HPC syst Read more…
November 16, 2013
The rapid growth of high performance computing and cloud computing services in recent years has contributed to the dramatic increase in the number and scale of Read more…
July 5, 2012
The latest Green500 rankings were announced last week, revealing that top performance and power efficiency can indeed go hand in hand. According to the latest list, the greenest machines, in fact the top 20 systems, were all IBM Blue Gene/Q supercomputers. Blue Gene/Q, of course, is the platform that captured the number one spot on the latest TOP500 list, and is represented by four of the ten fastest supercomputers in the world. 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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