When it comes to the most powerful supercomputers on the list, the US chip giant powers eight of the top 10 while four supercomputers that use its technology alongside AI have been nominated for the Gordon Bell Prize which is supercomputing's most prestigious award.
Nvidia now powers a majority of the world's top 500 supercomputers thanks to the success of its end-to-end HGX AI supercomputing platform that accelerates scientific computing, data analysis and AI workloads.
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At the same time, the shift to incorporating AI into HPC represents a significant change in a field that has focused on harnessing larger, more powerful machines for compute-intensive simulation and modeling since Seymour Cray first launched his CDC 6600 mainframe computer system back in 1964.
Ranking the world's most powerful supercomputers
In order to update its list of the top 500 supercomputers twice every year, TOP500 uses Jack Dongarra's Linpack benchmark because it is widely used and performance numbers are available for almost all relevant systems.
However, in a new blog post, Nvidia makes the case that the latest TOP500 list is about more than high-performance Linpack results as speed records, “smarts” records and green records were also taken into account.
Speed records are measured by the speed it takes to do operations in a double-precision floating-point format called FP64 while “smarts” records are measured by HPL-AI which is the mixed-precision standard that's the benchmark for AI performance. The environmental impact of supercomputers is measured by green records and the Nvidia DGX SuperPod system earned the top spot on the Green500 list of the most efficient supercomputers by achieving a new world record in power efficiency at 26.2 gigaflops per watt.
Nvidia's most impressive achievement though is the fact that the firm is well on its way to surpass exascale computing ahead of schedule. Back in October, Italy's CINECA supercomputing center revealed its plans to build the world's most powerful AI supercomputer called Leonardo with an expected 10 exaflops of AI performance.
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