There are definitely easier businesses to be in than operating a neocloud. For one thing, the makers of AI accelerators, ...

With AI being the biggest change in IT infrastructure since the Dot Com boom, it was no surprise that at the annual Cisco ...

It has taken the better part of a year and a half and some wrangling with the US Department of Justice to get it done, but ...

As we have said many times here at The Next Platform, the only way to predict the actual future is to live it. Despite that, ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Micron Technology has not just filled in a capacity shortfall for more high bandwidth stacked DRAM to feed GPU and XPU ...

There is not one Ethernet business, but several, and now, with the evolution of Ethernet switches for back-end AI cluster ...

HPC storage systems are expensive, but so are the people who maintain and operate them, and the costs of both and downtime and outages have often been overlooked in the past.

The compute engines keep changing as the decades pass, but the same old problems keep cropping up in slightly different form. In both the traditional HPC simulation and modeling market and the ...

Is it the Nvidia AI Enterprise software stack with its CUDA programming model and hundreds of libraries and the fact that at least some of this software, if not all, is the de factor standard for AI ...

Now, IBM didn’t think of it this way, but imagine if you took half of the Power10 CPUs out and had NVLink coherence between a Power10 CPU and a kicker to the Ampere A100 GPU, or even the Ampere GPU ...