The Hewlett Packard that Carly Fiorina and Mark Hurd created through aspiration and acquisition is hardly recognizable in the increasingly streamlined Hewlett Packard Enterprise that Meg Whitman is whittling. …
Supercomputer maker SGI has been going it alone in the upper echelons of the computing arena for decades and has brought much innovation to bear on some of the most intractable simulation, modeling, and analytics problems in the world. …
When supercomputer maker SGI tweaked its NUMA server technology to try to pursue sales in the datacenter, the plan was not to go it alone but rather to partner with the makers of workhorse Xeon servers that did not – and would not – make their own big iron but who nonetheless want to sell high-end machines to their customers. …
The server cycle has some long waves that are not always in phase with each other, and that is generally a good thing. …
Any aspirations that the Hewlett-Packard that we knew for nearly a decade and a half to build a conglomerate that resembled IBM in its own former enterprise breadth and depth of software, services, and systems is now over with the company spinning out its Enterprise Services business and focusing very tightly on its core hardware and related software businesses. …
Servers are still monolithic pieces of machinery and the kind of disaggregated and composable infrastructure that will eventually be the norm in the datacenter is still many years into the future. …
In the previous article, we left off with the basic storage model having its objects first existing as changed in the processor’s cache, then being aged into volatile DRAM memory, often with changes first logged synchronously into I/O-based persistent storage, and later with the object’s changes proper later copied from volatile memory into persistent storage. …
Some techies are capable of writing programs in assembler, but all will agree that they are very glad that they don’t need to. …
As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated and composable systems that are heavy on persistent storage that sometimes functions like shared memory, on various kinds of compute, and on the interconnects between the two. …
With machine learning taking off among hyperscalers and others who have massive amounts of data to chew on to better serve their customers and traditional simulation and modeling applications scaling better across multiple GPUs, all server makers are in an arm’s race to see how many GPUs they can cram into their servers to make bigger chunks of compute available to applications. …
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