There has been a lot of research and development devoted to bringing the Arm architecture to servers and storage in the datacenter, and a lot of that has focused on making beefier and usually custom Arm cores that look more like an X86 core than they do the kind of compute element we find in our smartphones and tablets. …
The European Union has never been willing to cede the exascale computing race to the United States, Japan, or China. …
Supercomputer makers have been on their exascale marks, and they have been getting ready, and now the US Department of Energy has just said “Go!” …
There has been plenty of talk about where FPGA acceleration might fit into high performance computing but there are only a few testbeds and purpose-built clusters pushing this vision forward for scientific applications. …
Gone are the days of early warehouse scale computing pioneers that were based in the U.S.. …
There was concern in some scientific quarters last year that President Trump’s election could mean budget cuts to the Department of Energy (DoE) that could cascade down to the country’s exascale program at a time when China was ramping up investments in its own initiatives. …
The phenomenal complexity of computing is not decreasing. Charts of growth, investment and scale continue to follow an exponential curve. …
The field of competitors looking to bring exascale-capable computers to the market is a somewhat crowded one, but the United States and China continue to be the ones that most eyes are on. …
It is a renaissance for companies that sell GPU-dense systems and low-power clusters that are right for handling AI inference workloads, especially as they look to the healthcare market–one that for a while was moving toward increasing compute on medical devices. …
When it comes to supercomputing, more is almost always better. More data and more compute – and more bandwidth to link the two – almost always result in a better set of models, whether they are descriptive or predictive. …
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