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. …
IBM, which arguably has the largest remaining big iron server business in the world, is one step closer to making systems based on its own Power processors peers to the Xeon-based machinery that utterly dominates its IBM Cloud public cloud. …
Going forward, there is little question that containers have become firmly established as the technology of choice for application deployment – at least until such a time as alternative approaches like serverless computing outgrow them in popularity. …
The center of gravity for data is continuing to shift from core datacenters to other parts well beyond the walls of those facilities. …
Enterprises that are betting the massive amounts of data that they are collecting will deliver the insights they need to make better and faster businesses are finding that they could just as easily be overwhelmed by them. …
For the first time in a very long time, and even including the Great Recession, chip maker Intel booked less revenue in the fourth quarter of the year than it did in the third quarter of that same year. …
The secret to the longevity of any big corporation is a nearly constant process of reinvention. …
Architectural transitions for layers in the IT stack at hyperscalers can happen in a matter of years, and cloud builders and HPC centers can move at almost the same speed. …
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