Nvidia Breaks $2 Billion Datacenter Run Rate
If GPU acceleration had not been conceived of by academics and researchers at companies like Nvidia more than a decade ago, how much richer would Intel be today? …
If GPU acceleration had not been conceived of by academics and researchers at companies like Nvidia more than a decade ago, how much richer would Intel be today? …
With so many chip startups targeting the future of deep learning training and inference, one might expect it would be far easier for tech giant Hewlett Packard Enterprise to buy versus build. …
Organizations are turning to artificial intelligence and deep learning in hopes of being able to more quickly make the right business decisions, to remake their business models and become more efficient, and to improve the experience of their customers. …
Although much of the attention around deep learning for voice has focused on speech recognition, developments in artificial speech synthesis (text to speech) based on neural network approaches have been just as swift. …
Today’s enterprises need deep learning, but most don’t know how to get started. …
Intel’s multi-year effort to expand its reach beyond its PC and server processor roots has taken the chip maker down multiple paths, some of which have ended in dead ends. …
For the past five and a half years, which is not quite an eternity in the IT business but is something akin to a half of a generation or so, IBM’s revenues have been declining, quarter in and quarter out. …
SPONSORED WEBCAST
In this webcast, we learn from Nick Curcuru, vice president of the big data practice at MasterCard, about what needs to be in place both technically and in terms of management models and processes so that the benefits can be fully achieved. …
After a long, long wait and years of anticipation, it looks like IBM is finally getting ready to ship commercial versions of its Power9 chips, and as expected, its first salvo of processors aimed at the datacenter will be aimed at HPC, data analytics, and machine learning workloads. …
Today, most machine learning is done on processors. Some would say that acceleration of learning has to be done on GPUs, but for most users that is not good advice for several reasons. …
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