A total addressable market is a forecast of what will be sold – more precisely, what can be manufactured and sold. It is not ...

The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...

If there was ever a demonstration of Jevons' paradox, it's the supercomputing sector. According to this law of economics, ...

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 ...

Big Blue might be a little late to the AI acceleration game, but it has a captive audience in its System z mainframe and Power Systems servers. Many of these customers, who spend millions of dollars ...

While a lot of people focus on the floating point and integer processing architectures of various kinds of compute engines, we are spending more and more of our time looking at memory hierarchies and ...

There are two types of packaging that represent the future of computing, and both will have validity in certain domains: Wafer scale integration and multichip module packaging. While we love the idea ...

Frustrated by the limitations of Ethernet, Google has taken the best ideas from InfiniBand and Cray’s “Aries” interconnect and created a new distributed switching architecture called Aquila and a new ...

Rated horsepower for a compute engine is an interesting intellectual exercise, but it is where the rubber hits the road that really matters. We finally have the first benchmarks from MLCommons, the ...

It has been a long time since Intel changed its manufacturing process – what it used to call a “tick” – and the microarchitecture and architecture of a processor design – what it used to call a “tock” ...

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 ...

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 ...