November 14, 2022
Over the past months, Nvidia has put a spotlight on its OVX hardware – purpose-built systems aimed at its Omniverse digital twins platform. Now, at SC22, Nvid Read more…
June 12, 2012
In an interview at ODCA's Forecast 2012 in New York City, Curt Aubley, the VP & CTO of Cyber Security & NexGen Innovation at Lockheed Martin, as well as the Open Data Center Alliance president, explained that moving the market forward with open solutions enables Lockheed to have more options, avoid lock-in and get the benefits of new technologies so that they can move faster in a more affordable fashion. Read more…
October 31, 2011
Another vote of confidence for D-Wave's quantum computer chip. Read more…
May 26, 2011
On Wednesday, D-Wave Systems made history by announcing the sale of the world's first commercial quantum computer. The buyer was Lockheed Martin Corporation, who will use the machine to help solve some of their "most challenging computation problems." D-Wave co-founder and CTO Geordie Rose talks about the new system and the underlying technology. 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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