Facebook’s Expanding Machine Learning Infrastructure
Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. …
Here at The Next Platform, we tend to keep a close eye on how the major hyperscalers evolve their infrastructure to support massive scale and evermore complex workloads. …
The differences between peak theoretical computing capacity of a system and the actual performance it delivers can be stark. …
Artificial intelligence and machine learning, which found solid footing among the hyperscalers and is now expanding into the HPC community, are at the top of the list of new technologies that enterprises want to embrace for all kinds of reasons. …
In his keynote at the recent AWS re:Invent conference, Amazon vice president and chief technology officer Werner Vogels said that the cloud had created a “egalitarian” computing environment where everyone has access to the same compute, storage, and analytics, and that the real differentiator for enterprises will be the data they generate, and more importantly, the value the enterprises derive from that data. …
The server race is really afoot now that IBM has finally gotten off the starting blocks with its first Power9 system, based on its “Nimbus” variant of that processor and turbocharged with the latest “Volta” Tesla GPU accelerators from Nvidia and EDR InfiniBand networks from Mellanox Technologies. …
Striking acceptable training times for GPU accelerated machine learning on very large datasets has long-since been a challenge, in part because there are limited options with constrained on-board GPU memory. …
In many ways, public clouds like Amazon Web Services, Microsoft Azure, and Google Cloud Platform can be the great equalizers, giving enterprises access to computing and storage resources that they may not have the money to be able to bring into their on-premises environments. …
Generally speaking, the world’s largest chip makers have been pretty secretive about the giant supercomputers they use to design and test their devices, although occasionally, Intel and AMD have provided some insight into their clusters. …
Medical imaging is one areas where hospitals have invested significantly in on-premises infrastructure to support diagnostic analysis. …
Although most recognize GE as a leading name in energy, the company has steadily built a healthcare empire over the course of decades, beginning in the 1950s in particular with its leadership in medical X-ray machines and later CT systems in the 1970s and today, with devices that touch a broad range of uses. …
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