While many recognize Yann LeCun as the inventor of convolutional neural networks, the momentum of which has ignited artificial intelligence at companies like Google, Facebook, and beyond, LeCun has not been strictly rooted in algorithms. …
The vast majority of the so-called “engineered systems” that Oracle sells into datacenters are based on Intel Xeon processors. …
The Data Center Solutions custom server unit of Dell is one of the big success stories of the IT supplier. …
The IT sector was bracing for a slowdown in system spending a few weeks ago, but it doesn’t look much like a slowdown has materialized, despite warnings from server adapter card maker QLogic that its business had slowed because the ramp for Intel’s “Haswell” Xeon E5 v3 processors and their “Grantley” server platform was not as fast as QLogic hoped. …
It is still early days in the software container revolution, and Microsoft is working as fast as it can to be able to leverage Docker containers and minimalist operating systems to make its Windows Server stack competitive with other platforms. …
The hyperscalers of the world have taught data processing organizations many important lessons over the past decade, and the two most important ideas are that you have to measure everything and use metrics to drive both hardware and software engineering, top to bottom, from the disk drive and memory stick all the way out to the power substation that feeds the datacenter. …
Amid the din around the mainstream market chip and developer news at the Intel Developer Forum yesterday, a couple of quieter, but no less pressing topics were at the top of our minds here at The Next Platform. …
Perhaps it is not fair to title an article in a way that suggests a company has disappeared from the market or requires a triumphant return. …
When Hewlett-Packard launched its moonshot effort to create a new computing architecture centered on non-volatile memory last year, called The Machine, many people jumped to a number of wrong conclusions. …
While companies are beginning to think at the rack scale and hyperscalers like Google, Facebook, Amazon, and others have long since been thinking about computing at the scale of an entire datacenter, it is important to remember that computing happens at the server node and therefore the server node architecture matters. …
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