It has been four years since Kirk Bresniker, HPE Fellow, vice president, and chief architect at Hewlett Packard Labs, stood before a crowd of journalists and analysts at the company’s Discover show and announced plans to create a new computing architecture that puts the focus on memory and will eventually use such technologies as silicon photonics and memristors. …
Hewlett Packard Enterprise is not just a manufacturer that takes components from Intel and assembles them into systems. …
It has been roughly a year and a half since Hewlett Packard Enterprise first announced its intent to create a completely different kind of a system. …
Hewlett Packard Enterprise has been an early and enthusiastic supporter of alternate processor architectures outside of the standard Xeon X86 CPUs that comprise the vast majority of its revenues and shipments, particularly with Arm server chips starting in 2011. …
It is the nature of the many businesses that Hewlett Packard Enterprise remains in, after spinning off printers, PCs, services, and software, that it still has many ups and downs and there is always one business that can pull down the others. …
While the hyperscalers have been running AI workloads against vast datasets in production for a decade and a half, many large enterprises have lots of data they think is relevant but they are not at all experiences with AI and the system requirements it has. …
There are so many barriers to capacity increases in high performance computing systems that it would take a long time to rattle them off. …
Whenever one company buys another, every product line, every research project, and every employee is ultimately in play. …
Per aspera, ad astra, an old Latin adage that means “through striving, to the stars,” is the root of the name for a hybrid HPC and AI supercomputer that the Grand Équipment National de Calcul Intensif (GENCI), working in conjunction with the Centre Informatique National de l’Enseignement Supérieur (CINES), one of three national HPC centers in France, will be building next year to bring a factor of 20X more compute power to bear on scientific applications. …
Not every workload can be chunked up and spread across a relatively loosely coupled cluster of cheap X86 server nodes. …
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