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 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 ...

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 ...

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 ...

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 ...

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 ...

In the early years of the GPU acceleration of application performance – really from “Kepler” datacenter GPUs in May 2012 to “Volta” in May 2017 – Nvidia, the world’s most important technology company ...

Rob Knoth harkens back to 2019, when Anirudh Devgan, then president of Cadence Design Systems, walked to the whiteboard at the head of the meeting room and started to draw circles. By this time, ...

When it comes to networking, the rules around here at The Next Platform are simple. When it comes to hyperscale networking for massively distributed, largely not coherent applications, the rule is: ...

Here is how you know that GenAI training and GenAI inference are very different computing and networking beasts, and diverging more with each passing day: Google has just forked its Tensor Processing ...