Looking Ahead In The Datacenter With Intel
The datacenter is a tough battleground, with vendors at every part of the stack pushing and pulling against each other to try to win business. …
The datacenter is a tough battleground, with vendors at every part of the stack pushing and pulling against each other to try to win business. …
If it was as easy as global replacing a bunch of MIPS cores with a bunch of ARM cores, then network chip makers Cavium and Broadcom would already have long since put their respective “ThunderX” and “Vulcan” 64-bit ARM server processors into the market. …
FPGAs might be the next big thing for a growing host of workloads in high performance and enterprise computing, but for smaller companies, not to mention research institutions, the process of onboarding is not simple—or inexpensive. …
For Google, Baidu, and a handful of other hyperscale companies that have been working with deep neural networks and advanced applications for machine learning well ahead of the rest of the world, building clusters for both the training and inference portions of such workloads is kept, for the most part, a well-guarded secret. …
At the moment, there are two types of software container users, but in the long run, there will probably only be one. …
For someone like Steve Pawlowski, who spent well over thirty years at Intel working on a wide range of processors for an even more striking array of platforms, it seems only natural to take a cautious view of entirely new approaches to data processing that require a fundamental rethink of computing hardware and software. …
By definition, the national HPC labs are on the very bleeding edge of supercomputing technology, which is necessary given the scope and scale of the problems they are trying to solve through simulation and analysis and enabled by the largesse of their budgets. …
You have no doubt heard the one about making it up in volume, a jokey phrase that people use when a business has to crank out more and more widgets to stay in the same place. …
As the theme goes this year, what’s old is new again. …
Without any new plain vanilla processors from Intel, IBM, Fujitsu, AMD, or the relative handful of ARM server chip makers, and with Nvidia launching its Tesla M4 and M40 accelerators aimed at hyperscalers and those looking for cheap single-precision flops ahead of SC15, the “Knights Landing” Xeon Phi chip was pretty much the star of the high performance conference as far as compute is concerned. …
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