October 27, 2020
AMD this morning reported record quarterly revenue of $2.8 billion and a finalized deal to buy FPGA-maker Xilinx for $35 billion in an all-stock transaction. Th Read more…
June 18, 2020
Intel today introduced its first AI-optimized FPGA – the Stratix 10 NX – which features expanded AI Tensor blocks (30 multipliers and 30 accumulators), inte Read more…
June 20, 2019
IBM can now boast not only the two most powerful supercomputers in the world, it also has claimed the top spot for a supercomputer used in a commercial setting. Read more…
May 2, 2019
On the eve of its 50th anniversary, Advanced Micro Devices (AMD) reported sales of $1.27 billion for Q1 2019, down 10 percent quarter-over-quarter and 23 percen Read more…
March 18, 2019
A new U.S. research initiative seeks to develop a processor capable of real-time learning while operating with the “efficiency of the human brain.” The National Science Foundation (NSF) and the Defense Advanced Research Projects Agency jointly announced a “Real Time Machine Learning” project on March 15 soliciting industry proposals for “foundational breakthroughs” in hardware required to “build systems that respond and adapt in real time.” Read more…
December 19, 2018
So much ‘spaghetti’ gets tossed on walls by the technology community (vendors and researchers) to see what sticks that it is often difficult to peer through Read more…
December 11, 2018
For several years now the big cloud providers – Amazon, Microsoft Azure, Google, et al – have been transforming from technology consumers into technology cr Read more…
April 27, 2018
Advanced Micro Devices appears to making market share headway at the expense of long-time rival Intel Corp. based on quarterly results released this week. AMD reported quarterly revenue totaling $1.65 billion, up 40 percent from the same quarter last year. Read more…
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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.
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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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