Imagine a platform that hits a database with over a trillion online signals in a 100ms window and scores ML models over one million times per second to deliver near-real time results across over 100 million destinations. …
With the AI chip startup hype cycle spinning down from its feverish pace in 2018, giving way to 2021 expectations for real-world deployments, it still difficult to see which company will steal what little share is left in the Nvidia/Intel/AMD dominated datacenter. …
Jupyter may have had its beginnings in enterprise data problems but some in the high performance computing community has been adopting it as the prime platform for both data science and AI at massive scale. …
When you come to the crossroads and make a big decision about selling your soul to the devil to get what you want, it is supposed to be a dramatic event, the stuff that legends are made of. …
A collaboration of researchers from the University of California Davis, the National Energy Research Scientific Computing Center, and Intel are working together on the DisCo project to extract insight from complex unlabeled data. …
A collaboration including the University of Oxford, University of British Columbia, Intel, New York University, CERN, and the National Energy Research Scientific Computing Center is working to make it practical to incorporate of Bayesian inference into scientific simulators. …
When Oak Ridge National Laboratory installs its 1.5 exaflops Frontier supercomputer in a couple of years, it’s likely to be the most powerful system in the US, if not the world. …
As the largest buyer of supercomputers of any government agency in the world, the US Department of Energy (DOE) has relied on the relentless improvement of semiconductors to pursue the science it needs to advance the nation’s energy goals. …
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