QuiX Quantum executives point to catalyst simulations, molecular dynamics, machine learning, and data analysis as use cases ...

In-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale datacenters, and public clouds ...

All the latest news from all sections of The Next Platform, which provides in-depth coverage of high-end computing at large enterprises, supercomputing centers, hyperscale datacenters, and public ...

It has been nine years since a Chinese HPC supercomputer was at the top of the High Performance Linpack performance rankings, but as we all know, China did break through the exascale flops barrier at ...

InfiniBand may still be the preferred interconnect for scale out networks for plenty of HPC labs and more than a few AI centers, but the broadening out of GenAI from model training to production ...

High tech companies always have roadmaps. Whether or not they show them to the public, they are always showing them to key investors if they are in their early stages, getting ready to sell some ...

Yes, that simple question is, in the modern Nvidia world that has come to dominate AI training and to a certain extent HPC simulation and modeling, heretical. But given that CPUs are in many cases ...

Timothy Prickett Morgan brings 37 years of experience as a publisher, IT industry analyst, editor, and journalist for some of the world’s most widely read high-tech and business publications, ...

Qualcomm had datacenter envy back when Intel ruled the bit barns of the world, and now it has it even worse now that Nvidia has shown how AI processing can utterly transform the finances of a chip ...

It is almost certainly not a coincidence that a networking expert at Google has risen to the top to be put in charge of the infrastructure development at the search engine, advertising, and now AI ...

How expensive and difficult does hyperscale-class AI training have to be for a maker of self-driving electric cars to take a side excursion to spend how many hundreds of millions of dollars to go off ...

Normally, when we look at a system, we think from the compute engines at a very fine detail and then work our way out across the intricacies of the nodes and then the interconnect and software stack ...