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Over the last 30 years, coal-fired electricity generation in the U.S. more than halved as a share of all generation, falling to a nearly half-century low. But i Read more…
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Carbon is one of the essential building blocks of life on Earth, and it—along with hydrogen, nitrogen and oxygen—is one of the key elements researchers look Read more…
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The ever-expanding complexity of high-performance computing continues to elevate the concerns posed by massive energy consumption and increasing points of failu Read more…
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Big Blue's research arm makes carbon more transistor-friendly. Read more…
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Although admired for its efforts to curb greenhouse emissions via legislation that targets people where they feel it most--the pocketbook--California could be extending legislation that will have a direct impact on the viability of data center construction and operation in the state. 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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