Containers are still the hot new technology in the datacenter to some, but many of the pieces and parts that eventually would find their way into today’s container platforms have long-since been used by enterprises and developers thanks to Docker. …
Speaking in generalities across any aspect of history is always risky, but that is what the job of history is. …
In these modern IT days – where the rapidly-evolving environment stretches from the datacenter to the cloud and edge, with a range of hyperscale cloud providers and myriad clusters to choose from – what is increasingly important when creating and running workloads is portability. …
As more enterprises embrace hybrid and multicloud strategies and begin to extend their IT reach out to the edge, scale becomes an issue. …
By all accounts, Big Blue had a pretty good quarter ending in June, with sales of its System z16 mainframes skyrocketing upwards as they do every couple of years at the beginning of a new cycle and sales of its high-end Power10 machines also getting some traction. …
Both Hewlett-Packard and Compaq, which also included parallel database system maker Tandem and minicomputer innovator Digital Equipment Corp when HP bought Compaq for $25 billion back in September 2001, had histories as platform providers but the combined companies were not able to create on the X86 platform the kinds of venerable platforms such as the HP 3000 and DEC VAX and AlphaServer minicomputers, the HP 9000 Unix systems, or the Tandem NonStop systems. …
There is no shortage of options for enterprises when it comes to Kubernetes platforms. …
Nvidia and VMware have forged a tight partnership when it comes to bringing AI to the enterprise, which stands to reason given the prevalence of VMware’s ESXi hypervisor and vSphere management tools across more than 300,000 companies worldwide. …
Here we are, on the Friday before the flagship GPU Technology Conference hosted by Nvidia is set to kick off. …
When any new abstraction layer comes to compute, it can only think in integers at first, and then it learns to do fractions and finally, if we are lucky – and we are not always lucky – that abstraction layer learns to do multiplication and scale out across multiple nodes as well as scaling in – slicing itself into pieces – within a single node. …
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