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 ...

The smartest thing that online bookseller and e-tailing giant Amazon ever did was let you pay for its enormous IT expenses as the company was growing at a crazy pace. You did this by renting compute ...

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 ...

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 ...

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 ...

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 ...

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 ...

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: ...

We like datacenter compute engines here at The Next Platform, but as the name implies, what we really like are platforms – how compute, storage, networking, and systems software are brought together ...

The server CPU racket is not an easy one. It would be tough to find a more difficult business, and it gets harder to compete each year as computing becomes more and more focused at the hyperscalers ...

It is common understanding that as quantum computing gets its feet under itself, it will work hand-in-hand with classical supercomputers and leverage what rapidly evolving AI tools can offer to begin ...