Six years ago, when Google decided to get involved with the OpenPower consortium being put together by IBM as its third attempt to bolster the use of Power processors in the datacenter, the online services giant had three applications that had over 1 billion users: Gmail, YouTube, and the eponymous search engine that has become the verb for search. …
When IBM launched the OpenPower initiative publicly five years ago, to many it seemed like a classic case of too little, too late. …
You can’t swing a good-sized cat without hitting an enterprise running Oracle software in some shape or form. …
Cavium has raised its profile over the past several years as one of the pioneers in developing Arm-based systems-on-a-chip (SoCs) for servers, rolling out multiple generations of its ThunderX chips in hope of pushing Arm’s low-power architecture make gains in a datacenter environment that for years has been dominated by Intel and its x86-based Xeons. …
The field programmable gate space is heating up with new use cases driven by everything from emerging network, IoT, and application acceleration trends. …
It has been more than two months since Google revealed its research on the Spectre and Meltdown speculative execution security vulnerabilities in modern processors, and caused the whole IT industry to slam on the brakes and brace for the impact. …
These days, organizations are creating and storing massive amounts of data, and in theory this data can be used to drive business decisions through application development, particularly with new techniques such as machine learning. …
The artificial intelligence revolution is quickly changing every industry, and modern data centers must be equipped to capitalize on these extraordinary new capabilities. …
Researchers at Volkswagen have been at the cutting edge of implementing D-Wave quantum computers for a number of complex optimization problems, including traffic flow optimization, among other potential use cases. …
The hyperscalers of the world have to deal with dataset sizes – both streaming and at rest – and real-time processing requirements that put them into an entirely different class of computing. …
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