Google hiring of longtime Oracle executive Thomas Kurian to take over for Diane Greene as the head its cloud unit was a signal that the hyperscale company was serious about generating more enterprise businesses in hopes of better competing with larger public cloud providers Amazon Web Services and Microsoft Azure. …
The hyperscalers and cloud builders of the world put a third of their installed base into the trash compactor every year because it is much less costly for them to keep upgrading machinery than it is to operate older stuff that eats space and burns power and cooling less efficiently. …
The amount of rejiggering among the IT vendors serving enterprise customers (as distinct from hyperscalers, cloud builders, and HPC centers) in the past decade and a half has been astounding. …
VMware is not the first company that comes to mind when you think of GPU computing, but the company has quietly been developing technologies that enables performance-minded users to get the most out of these born-again vector processors. …
NVM-Express has been on a steady roll for the past several years, a hot technology in a storage industry that is looking for ways to best address the insatiable demand for higher performance and throughput and lower latency driven by the need to process data faster and more securely. …
There are two camps of server makers in the world. Those that are aimed at hyperscalers and cloud builders, which buy in lots of 50,000 or 100,000 servers and which therefore have enough leverage for the tail to wag the manufacturing dogs. …
One of the big problems of servers, storage, and networking, oddly enough, is that in the individual elements in which they are sold, there is a perception that they are not all that expensive. …
It has been our position from the beginning, when Google first open sourced the Kubernetes container controller, that it wanted for this to be the controller that ruled the datacenter. …
As enterprises continue to embrace hybrid and multicloud models, they are looking for fast access to the data that can be stored both on-premises or in public clouds, and often in more than one cloud. …
Earlier in this decade, when the hyperscalers and the academics that run with them were building machine learning frameworks to transpose all kinds of data from one format to another – speech to text, text to speech, image to text, video to text, and so on – they were doing so not just for scientific curiosity. …
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