The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of ...

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, ...

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

Right or wrong, we still believe that we live in a world where traditional HPC simulation and modeling at high precision ...

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

Sitting in an office at QuEra Computing’s Boston headquarters, Yuval Boger was talking about the recent advancements made in quantum computing that are ...

This chart below was useful in allowing us to calculate the watts used by the more recent TPUs, which Google did not provide: Google likes to make comparisons to the TPU v2, which was the first of its ...

When Oracle bought Sun Microsystems, it put out a five year roadmap, and it largely stuck to it. When GPU-accelerated computing took off in 2010 and the GPU Technical Conference was new and the number ...

There is a bit of AI spending one-upmanship going on among the hyperscalers and cloud builders – and now the foundation model builders who are partnering with their new sugar daddies to be able to ...