Compute is being embedded in everything, and there is another wave of distributed computing pushing out from the datacenter into all kinds of network, storage, and other kinds of devices that collect and process data in their own right as well as passing it back up to the glass house for final processing and permanent storage. …
In a way, the processor market started moving in slow motion through 2017 as server makers and their customers were awaiting a veritable cornucopia of processor options, something the industry has not seen in many a year. …
The Carlyle Group, the publicly traded investment firm that has invested in nearly 300 companies that have a net worth of $170 billion and which itself could make around $4 billion in management fees and income from those investments for 2017, does not invest in any technology lightly. …
DARPA has always been about driving the development of emerging technologies for the benefit of both the military and the commercial world at large. …
It will not happen for a long time, if ever, but we surely do wish that Amazon Web Services, the public cloud division of the online retailing giant, was a separate company. …
If you thought the up-front costs and risks were high for a silicon startup, consider the economics of building a full-stack quantum computing company from the ground-up—and at a time when the applications are described in terms of their potential and the algorithms still in primitive stages. …
The container craze on Linux platforms just took an interesting twist now that Red Hat is shelling out $250 million to acquire its upstart rival in Linux and containers, CoreOS. …
While no one has yet created an exploit to take advantage of the Spectre and Meltdown speculative execution vulnerabilities that were exposed by Google six months ago and that were revealed in early January, it is only a matter of time. …
There has been a great deal of interest in deep learning chip startup, Graphcore, since we first got the limited technical details of the company’s first-generation chip last year, which was followed by revelations about how their custom software stack can run a range of convolutional, recurrent, generative adversarial neural network jobs. …
There is a kind of dichotomy in the datacenter. The upstart hyperconverged storage makers will tell you that the server-storage half-bloods that they have created are inspired by the storage at Google or Facebook or Amazon Web Services, but this is not, strictly speaking, true. …
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