The Hard Limits for Deep Learning in HPC
If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. …
If the hype is to be believed, there is no computational problem that cannot be tackled faster and better by artificial intelligence. …
Here at The Next Platform, we’ve touched on the convergence of machine learning, HPC, and enterprise requirements looking at ways that vendors are trying to reduce the barriers to enable enterprises to leverage AI and machine learning to better address the rapid changes brought about by such emerging trends as the cloud, edge computing and mobility. …
If it were not for the insatiable bandwidth needs of the twenty major hyperscalers and cloud builders, it is safe to say that the innovation necessary to get Ethernet switching and routing up to 200 Gb/sec or 400 Gb/sec might not have been done at the fast pace that the industry as been able to pull off. …
Almost two years after the acquisition by Intel, the deep learning chip architecture from startup Nervana Systems will finally be moving from its codenamed “Lake Crest” status to an actual product. …
Hyperscalers have billions of users who get access to their services for free, but the funny thing is that these users act like they are paying for it and expect for these services to be always available, no excuses. …
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. …
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