Today is the ribbon-cutting ceremony for the “Venado” supercomputer, which was hinted at back in April 2021 when Nvidia announced its plans for its first datacenter-class Arm server CPU and which was talked about in some detail – but not really enough to suit our taste for speeds and feeds – back in May 2022 by the folks at Los Alamos National Laboratory where Venado is situated. …
Finding new functional materials for batteries and catalysts and lots of other uses is a major goal of researchers around the world. …
Note: This story augments and corrects information that originally appeared in Half Eos’d: Even Nvidia Can’t Get Enough H100s For Its Supercomputers, which was published on February 15. …
PARTNER CONTENT: High performance computing (HPC) decision-makers are starting to prioritize energy efficiency in operations and procurement plans. …
For a lot of state universities in the United States, and their equivalent political organizations of regions or provinces in other nations across the globe, it is a lot easier to find extremely interested undergraduate and graduate students who want to contribute to the font of knowledge in high performance computing than it is to find the budget to build a top-notch supercomputer of reasonable scale. …
Note: There is a story called A Tale Of Two Nvidia Eos Supercomputers that augments and corrects information that originally appeared in this story as it was published on February 15. …
We don’t like a mystery and we particularly don’t like it when what is very likely the most powerful supercomputer in the world – at this time anyway – is veiled in secrecy. …
In many ways, the “Grace” CG100 server processor created by Nvidia – its first true server CPU and a very useful adjunct for extending the memory space of its “Hopper” GH100 GPU accelerators – was designed perfectly for HPC simulation and modeling workloads. …
If money and time were no object, every workload in every datacenter of the world would have hardware co-designed to optimally run it. …
The national supercomputing centers in the United States, Europe, and China are not only rich enough to build very powerful machines, but they are rich enough, thanks to their national governments, to underwrite and support multiple and somewhat incompatible architectures to hedge their bets and mitigate their risk. …
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