For those who marveled at the $16.7 billion deal Intel made to acquire field programmable gate array maker, Altera, an equal number raised eyebrows at the estimate given by Intel CEO to announce the purchase that one-third of cloud workloads would take advantage of FPGA acceleration by 2020. …
The Computex trade show in Taipei, Taiwan is the traditional place where Intel has put out its Xeon E3 processors for diminutive and graphics-accelerated servers, and this week the chip maker is indeed rolling out a variant of this chip using its “Broadwell” cores. …
CERN is set to go dark for a brief period in the 2018 timeframe to allow for a new sweep of technology upgrades, including the build-out of new datacenters, some of which might leverage non-standard architectures, including ARM processors. …
Now that the on-again, off-again deal between Intel, the world’s largest maker of processors, and Altera, one of the dominant makers of field programmable gate arrays, is going to happen for the tidy sum of $16.7 billion in cash, Intel is poised to usher in a new era of computing while at the same time countering the many competitive threats it has in the datacenter. …
Might doesn’t make right in this world, but it sure helps. …
Everybody who is operating at any sort of scale is looking to pack more compute into a smaller space for less money. …
During his sabbatical at Twitter, GPU researcher and graph analytics whiz, UC Davis professor John Owens, made a list of the elements the social network might want to consider as it built out its recommendation and other real-time services. …
The breakup of Hewlett-Packard into two separate companies – one focused on the datacenter and the other on PCs and printers – doesn’t make any more sense than it did bringing all of these different businesses under the same roof in the first place. …
The server space was a-buzz this weekend with what looks like a big leak of Intel’s future Xeon processor and chipset roadmaps for the next couple of generations of machines. …
For some users in high performance computing and a growing range of deep learning and data-intensive application segments, the shift toward mixed (heterogeneous) architectures is becoming more common. …
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