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Viewing posts from September, 2016

TACC Flips the Switch on Solar-Powered Supercomputer

The Texas Advanced Computing Center in Austin has installed the world’s largest solar-powered HPC system. The 400 teraflop supercomputer, known as Hikari, is an HPE Apollo 800 cluster that uses technology supplied by Japanese green energy specialist NTT FACILITIES. In addition to taking advantage of Austin’s abundant sunshine, the power setup also employs high voltage direct power (HVDC) to further reduce energy consumption.

Talking Machines Just Took a Big Step Forward

In these days of Apple Siri, Amazon Alexa, and Google Now, AI-based speech generation has become a commonplace technology in everyday life.  But when machines talk to us, it’s still obvious that we are listening to a computer, and not a human voice.  Thanks to new machine learning technology from Alphabet's DeepMind, that may soon change.

Aquila Takes Wraps Off Liquid-Cooled HPC Server

Aquila, a system provider based in Albuquerque, New Mexico, has unveiled a new liquid-cooled server platform that offers one of the densest and most energy-efficient architectures in the market. The platform, known as Aquarius, uses a patented warm water cooling technology along with rack-level power distribution to minimize energy consumption and allow for very high levels of computational density.

Exascale Computing Project Turns On Application Development

Last week the US DOE awarded $39.8 million worth of funding for more than a dozen application development projects aimed at exascale computing. A total of 15 proposals were funded, with an additional 7 receiving seed funding. The awards represent the first significant sum of federal money directed at developing exascale applications in the US.

NVIDIA Bolsters Deep Learning Portfolio with New Pascal GPUs

NVIDIA has unveiled the Tesla P4 and P40, two new GPUs aimed at the very latest AI machinery. The processors are based on the company’s Pascal architecture and incorporate new features aimed at deep learning inferencing work in areas like image and speech recognition, language translation, and recommendation engines. The announcement was made at NVIDIA’s GPU Technology Conference taking place in Beijing, China this week.