Top500 Supers: Nvidia Utterly Dominates Those Shiny New Machines
If you stare at something for a little bit of time and let your mind wander, you can think of a new way to analyze something that you have looked at a bunch of times. …
If you stare at something for a little bit of time and let your mind wander, you can think of a new way to analyze something that you have looked at a bunch of times. …
If high bandwidth memory was widely available and we had cheap and reliable fusion power, there never would have been a move to use GPU and other compute engines as vector and matrix math offload engines. …
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. …
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. …
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. …
The big oil and gas companies of the world were among the earliest and most enthusiastic users of advanced machinery to do HPC simulation and modeling. …
The most exciting thing about the Top500 rankings of supercomputers that come out each June and November is not who is on the top of the list. …
Customers of Hewlett Packard Enterprise have one foot on the gas and one foot on the brakes at the same time that the company is transitioning from selling gear outright to customers to selling them subscriptions that spread the cost – and therefore HPE’s recognized revenues – out over time. …
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