No question about it. Intel had to get a lot of moving pieces all meshing well to deliver the “Ice Lake” Xeon SP server processors, which came out earlier this month and which have actually been shipping to a few dozen select customers since the end of 2020. …
Somewhere nearly a decade ago, we made a joke when looking at the rise of the hyperscalers and cloud builders. …
Whatever is going on with its competitive positioning against revitalized X86 server chip rival AMD, Intel clearly felt that it could not wait for the launch of its 14 nanometer “Cooper Lake” and 10 nanometer “Ice Lake” Xeon SP processors to address it. …
During the Intel AI Summit earlier this month where the company demonstrated its initial processors for artificial intelligence training and inference workloads, Naveen Rao, corporate vice president and general manager of the Artificial Intelligence Products Group at Intel, spoke about the rapid pace of evolution in the AI space that also includes machine learning and deep learning. …
The days when the X86 processor could do just about every kind of processing in the datacenter are gone. …
After two and a half quarters of tightening the purse strings, the world’s largest consumers of infrastructure – the eight major hyperscalers and cloud builders – plus their peers in the adjacent communications service provider space all started spending money on servers and storage again, and Intel can breathe a sigh of relief as it works to get its 10 nanometer manufacturing on track for the delivery of “Ice Lake” Xeon SP processors sometime in the second half of next year. …
Living in the future, as we do now, you no longer have to expend huge amounts of capital to build a petaflops-scale supercomputer. …
The San Diego Supercomputing Center is overdue for a new supercomputer and thanks to a $10 million grant from the National Science Foundation, next year it will finally get one. …
Training deep neural networks is one of the more computationally intensive applications running in datacenters today. …
The market for servers used to be a lot more predictable in the past, with a portion of the tens millions of companies worldwide buying machinery in their own cycles that more or less coincided with the global gross domestic product. …
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