
How HPC and Amazon EC2 Hpc6a Instances Are Accelerating Engineering Innovation
Advertorial: The transformative power of modern engineering is nothing short of extraordinary. …
Advertorial: The transformative power of modern engineering is nothing short of extraordinary. …
Back in the dawn of time, which is four decades ago in computer science and which was before technical computing went mainstream with the advent of Unix workstations and their beefy server cousins, the computer science students we knew at college had taught themselves BASIC on either TRS-80s or Commodore VICs and they went to college to learn something useful like COBOL and maybe got a smattering of C and Pascal, or occasionally even RPG, for variety. …
We talk about scale a lot here at The Next Platform, but there are many different aspects to this beyond lashing a bunch of nodes together and counting aggregate peak flops. …
ADVERTORIAL: The increasing need for more accurate weather modeling rears its head on an almost daily basis, as the changing global climate proves to be one of humanity’s greatest challenges. …
One of the reasons why Intel can even think about entering the GPU compute space is that the IT market, and indeed just about any market we can think of, likes to have at least three competitors. …
If a few cores are good, then a lot of cores ought to be better. …
Changing the compute paradigm in the datacenter, or even extending it or augmenting it in some fashion, is no easy task. …
The need for high-powered computing isn’t going away. Enterprises trying to corral the massive amounts of data they’re generating and adopting emerging technologies like machine learning are demanding the sort of HPC capabilities that not too long ago were reserved for research and educational institutions. …
It is very rare for any of the major semiconductor suppliers of the world to ever admit that things are going wrong, even when we all know that they have been. …
While AI training dims the lights at hyperscalers and cloud builders and costs billions of dollars a year, in the long run, there will be a whole lot more aggregate processing done on AI inference than on AI training. …
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