May 10, 2017
A new set of GPU-powered AI software announced by IBM today brings automation to many of the tedious, time consuming and complex aspects of AI project on-rampin Read more…
May 10, 2016
IBM today announced a multi-year, cognitive computing collaboration with the University of Maryland in Baltimore on an Accelerated Cognitive Cybersecurity Labor Read more…
April 15, 2016
In keeping with its vision of an era of cognitive computing enabled by acceleration technology, IBM Research (NYSE: IBM) today announced plans for a multi-year Read more…
February 25, 2016
The avalanche of data being produced by experimental instruments and sensors isn’t just a big (data) problem – it’s perhaps the biggest bottleneck in scie Read more…
December 22, 2008
University of Wisconsin-Madison research psychiatrist Giulio Tononi was recently selected to take part in the creation of a "cognitive computer." Read more…
Data growth is relentless and inevitable, as data has come to define many aspects of research computing. Simulation data, ever more sophisticated sensor data, and now the rise of machine learning all contribute to the accelerating pace of data growth.
Learn how archive is different than backup, how much data should be archived, and how to architect a comprehensive HSM solution using new data management technologies that can handle this accelerating growth today and well into the future.
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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