Intel is bringing subscription and rental services to semiconductors as it explores new business models, but it remains to be seen if buyers warm up to the idea of paying extra to unlock features …
Making sense of today’s quantum computing landscape is challenging. IBM’s research chief Dario Gil says quantum computing writ large is now undeniably an industry. Jim Clarke, Intel’s quant …
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December 1, 2022
Part scorecard, part grand vision, IBM’s annual Quantum Summit held last month is a fascinating snapshot of IBM’s progress, evolving technology roadmap, and Read more…
October 24, 2022
A new generation of designs ready to shake up conventional server architecture emerged at the recent Open Compute Project Summit, where Google, Facebook and Mic Read more…
October 18, 2022
Spun out from Google last March, SandboxAQ is a fascinating, well-funded start-up targeting the intersection of AI and quantum technology. “As the world enter Read more…
September 22, 2022
Microsoft shared details on how it uses an AMD technology to secure artificial intelligence as it builds out a secure AI infrastructure in its Azure cloud service. Microsoft has a strong relationship with Nvidia, but is also working with AMD's Epyc chips (including the new 3D VCache series), MI Instinct accelerators, and also... Read more…
July 28, 2022
Scientists have uncovered a new type of quantum cryptography that utilizes one of the same laws of physics used in building quantum computers: quantum entanglement. Quantum entanglement, or what Einstein called “spooky action at a distance,” refers to the phenomenon of two subatomic particles being linked to one another in an exclusive... Read more…
July 21, 2022
Fault-tolerant quantum computers won’t exist for years – a decade is the most common estimate. When they do arrive, thanks to Shor’s now-famous algorithm, they will be able to crack the most widely-used encryption methods, which are based on factoring. Earlier this month, the National Institute of Standards and Technology (NIST) settled on four... Read more…
May 12, 2022
Quantum computers are coming down the pike, and hardware makers warned of a potential security crisis looming with such superfast systems able to break encryption within a matter of seconds. To counter that, companies like Intel, Microsoft and IBM -- which are also building quantum computers -- are looking ahead and building quantum-resistant algorithms to secure systems of the future. The companies are working... Read more…
May 4, 2022
President Joe Biden today issued an Executive Order and a National Security Memorandum boosting the national focus on quantum information sciences (QIS), including quantum computing and cybersecurity concerns. There is currently a global race heating up to leverage QIS for economic and security purposes. The U.S., China, Europe, Japan, the U.K., and many others have mounted well-funded, expanding efforts... 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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