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. …
All the shiny and zippy hardware in the world is meaningless without software, and that software can only go mainstream if it is easy to use. …
Each year, at the ISC and SC supercomputing conference shows every year, a central focus tends to be the release of the Top500 list of the world’s most powerful supercomputers. …
We caught wind of the “Aurora” Vector Engine vector processor and the “Tsubasa” system from NEC that makes use of it ahead of the SC17 supercomputer conference, and revealed everything we could find out about the system and speculated a bit about how the underlying processor in the absence of real data. …
Hewlett Packard Enterprise has been busy this year in the HPC space. …
Oracle was late to the cloud game, but in recent years has moved aggressively to catch up. …
One of the challenges vendors are trying address when it comes to artificial intelligence is expanding the technology and its elements of machine learning and deep learning beyond the realm of hyoerscalers and some HPC centers and into the enterprise, where businesses can leverage them for such workloads as simulations, modeling, and analytics. …
In this evolving digital economy, data is the cornerstone of success. …
Seymour Cray loved vector supercomputers, and made the second part of that term a household word because of it. …
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