Businesses and government agencies are deploying AI at breakneck speeds. But in the rush to stay ahead, or at least not fall too far behind, organizations are having to confront some hard truths. …
It is easy to focus on the specific accelerators and processors for deep learning training and inference and herald these as the enablers of what is next in AI. …
If this is truly the age of heterogeneous supercomputers, then the system installed earlier this month at the University of Tsukuba is its poster child. …
Like all major server-focused tech companies, HPE has been keeping close tabs on where quantum computing might go in the future. …
RIKEN and Fujitsu announced that they have finished the design of the Post-K exascale platform, paving the way for production of the hardware, followed by shipping and installation. …
The emergence of machine learning has forced computer architects to realize the way they’ve been developing hardware for the last 50 years will no longer suffice. …
The announcement last fall that top Hadoop vendors Cloudera and Hortonworks were coming together in a $5.2 billion merger – and reports about the financial toll that their competition took on each other in the quarters leading up to the deal – revived questions that have been raised in recent years about the future of Hadoop in an era where more workloads are moving into public clouds like Amazon Web Services (AWS) that offer a growing array of services that many of the jobs that the open-source technology already does. …
Lenovo has partnered with Excelero, an up-and-coming NVM-Express solution provider that sells a scale-out software-defined storage platform. …
Add to the list of AI chip startups some forthcoming new silicon based on the MiLDreD platform. …
In fact, a more salacious title might have said it will not be threat in most of our career spans, if in our lifetimes at all. …
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