Facebook just fired four more shots into the belly of the $53 billion server market

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"Bryce Canyon" is a storage server for things like photos and videos that can hold more (20% higher hard disk drive density) and run faster (4x increase in compute capability) over the predecessor Facebook invented (known as "Honey Badger").

"Bryce Canyon" is a storage server for things like photos and videos that can hold more (20% higher hard disk drive density) and run faster (4x increase in compute capability) over the predecessor Facebook invented (known as "Honey Badger").
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"Yosemite v2" is a server that keeps chugging away even when someone yanks out bits and pieces of its insides to replace or repair them.

"Yosemite v2" is a server that keeps chugging away even when someone yanks out bits and pieces of its insides to replace or repair them.
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"Tioga Pass" is a computer server that processes big chunks of data in memory, making it faster than conventional servers as well as its predecessor "Leopard." (It uses dual-socket motherboards and more i/o bandwidth for things like memory and graphics processing).

"Tioga Pass" is a computer server that processes big chunks of data in memory, making it faster than conventional servers as well as its predecessor "Leopard." (It uses dual-socket motherboards and more i/o bandwidth for things like memory and graphics processing).

"Big Basin" may be the most interesting one of all. It is a server used to train neural networks, the "machine learning" technology. Artificially intelligent computers must consume large numbers of examples of something in order to recognize it. For instance, they must see gobs of photos of dogs in order to learn that a German Shepherd and a Chihuahua are both labeled "dog." Big Basin can consume 30% larger data sets than the previous training server (named Big Sur), making AI systems smarter and more reliable.

"Big Basin" may be the most interesting one of all. It is a server used to train neural networks, the "machine learning" technology. Artificially intelligent computers must consume large numbers of examples of something in order to recognize it. For instance, they must see gobs of photos of dogs in order to learn that a German Shepherd and a Chihuahua are both labeled "dog." Big Basin can consume 30% larger data sets than the previous training server (named Big Sur), making AI systems smarter and more reliable.
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