Teasing Out The Top 500 Truth Through Networking
If you really want to know what is going on in the HPC market, you have to be careful about using the Top 500 rankings of “supercomputers” as a yardstick. …
If you really want to know what is going on in the HPC market, you have to be careful about using the Top 500 rankings of “supercomputers” as a yardstick. …
Gone are the days of early warehouse scale computing pioneers that were based in the U.S.. …
There is no question right now that if you have a big computing job in either high performance computing – the colloquial name for traditional massively parallel simulation and modeling applications – or in machine learning – the set of statistical analysis routines with feedback loops that can do identification and transformation tasks that used to be solely the realm of humans – then an Nvidia GPU accelerator is the engine of choice to run that work at the best efficiency. …
In this evolving digital economy, data is the cornerstone of success. …
It must be tough for the hyperscalers that are expanding into public cloud and the public cloud builders that also use their datacenters to run their own businesses to decide whether to hoard all of the new technologies that they can get their hands on for their own benefit, or to make money selling that capacity to others. …
Governments like to spread the money around their indigenous IT companies when they can, and so it is with the AI Bridging Cloud Infrastructure, or ABCI, supercomputer that is being commissioned by the National Institute of Advanced Industrial Science and Technology (AIST) in Japan. …
Announcements of new iron are exciting, but it doesn’t get real until customers beyond the handful of elite early adopters can get their hands on the gear. …
There are a lot of different ways to skin the deep learning cat. …
Having been at the forefront of machine learning since the 1980s when I was a staff scientist in the Theoretical Division at Los Alamos performing basic research on machine learning (and later applying it in many areas including co-founding a machine-learning based drug discovery company), I was lucky enough to participate in the creation and subsequently to observe first-hand the process by which the field of machine-learning grew to become a ‘bandwagon’ that eventually imploded due to misconceptions about the technology and what it could accomplish. …
While AMD voluntarily exited the server processor arena in the wake of Intel’s onslaught with the “Nehalem” Xeon processors during the Great Recession, it never stopped innovating with its graphics processors and it kept enough of a hand in smaller processors used in consumer and selected embedded devices to start making money again in PCs and to take the game console business away from IBM’s Power chip division. …
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