Nvidia scientists and their counterparts at a range of academic, scientific, and quantum computing institutions late last ...
QuiX Quantum executives point to catalyst simulations, molecular dynamics, machine learning, and data analysis as use cases ...
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 ...
It has been nearly five decades since British workstation maker Acorn Computer was founded, and nearly four decades since Acorn RISC Machines – what we have known variously as Arm, Arm Ltd, or Arm ...
The compute engine and networking ASIC makers are profiting mightily from the GenAI boom, and so is Taiwan Semiconductor Manufacturing Co, the world’s largest and most important foundry. Everyone else ...
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 ...
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 ...
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 ...
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 ...
The deal for Nvidia to acquire Mellanox, which was announced last March for $6.9 billion, has finally passed muster with all of the regulatory bodies of the world and closed today. The combination of ...
During the AI era, the support systems of Hewlett Packard Enterprise have regularly processed billions of operational signals coming in from customers every day, and as those operational environments ...
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 ...