July 28, 2022
The U.S. House today passed the CHIPS and Science Act of 2022, which authorizes $280 billion in funding to boost semiconductor research and production in the country. The passage of the bill paves the way for U.S. president Joe Biden to sign the legislation into law, which would officially open up funding... Read more…
July 19, 2022
The U.S. Senate on Tuesday passed a major hurdle that will open up close to $52 billion in grants for the semiconductor industry to boost manufacturing, supply chain and research and development. U.S. senators voted 64-34 in favor of advancing the CHIPS Act, which sets the stage for the final consideration... Read more…
April 15, 2020
Uncertainty over the duration and impact of COVID-19 on the global economy is prompting uncertain forecasts in key technology segments like semiconductors, a ma Read more…
September 24, 2012
Chip manufacturer plans to offer 14nm FinFET transistors in 2014. Read more…
July 16, 2012
EUV lithography, the technology chipmakers are counting on to keep Moore's Law alive, is behind schedule. Read more…
July 5, 2012
Processor speed and power consumption are now at odds, which will force chipmakers to rethink their designs.. Read more…
March 4, 2009
The next AMD chip you buy may be designed by AMD, but it'll be built by the Foundry Co, AMD's new spin off. Read more…
October 7, 2008
Advanced Micro Devices said Tuesday that it would split into two companies — one focused on designing microprocessors and the other on the costly business of manufacturing them. Read more…
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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