August 3, 2022
After two-plus years of contentious debate, several different names, and final passage by the House (243-187) and Senate (64-33) last week, the Chips and Science Act will soon become law. Besides the $54.2 billion provided to boost US-based chip manufacturing, the act reshapes US science policy in meaningful ways. NSF’s proposed budget... 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…
June 3, 2022
The following is a Q&A originally published on Taking Measure, the official blog of the National Institute of Standards and Technology (NIST). Photo credit: Read more…
May 26, 2021
Discussion around how to create, or whether to create, or if it is even possible to create general artificial intelligence has simmered for years. Sticking to t Read more…
August 14, 2019
Efforts to develop AI are gathering steam fast. On Monday, the White House issued a federal plan to help develop technical standards for AI following up on a ma Read more…
August 16, 2018
Quantum computers – at least for now – remain noisy. That’s another way of saying unreliable and in diverse ways that often depend on the specific quantum Read more…
January 23, 2015
Concrete is one of the oldest building materials with a history dating back to ancient Egypt. Today, concrete – comprised primarily of water, aggregate and ce Read more…
June 28, 2013
The United States is implementing a new “Cloud-First” computing strategy, in which they will start transferring applications from private datacenters to hybrid and public infrastructures. In the effort to reduce spending across the board, the government is taking steps to cut computing costs by moving as many computations and applications to the cloud as possible. 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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