Using Nvidia’s next-generation CPUs, Nvidia and Hewlett Packard Enterprise announced on Tuesday that they are collaborating with the Leibniz Supercomputing Center to construct a new supercomputer.
Scientists will have access to the so-called Blue Lion supercomputer, which uses Nvidia’s “Vera Rubin” chips, in early 2027.
Following Nvidia’s statement that the Lawrence Berkeley National Lab in the US would also be utilizing the chips to construct a system next year, the announcement was made during a supercomputing conference in Hamburg, Germany.
Separately, Nvidia announced that Jupiter, a supercomputer at the German national research center Forschungszentrum Julich that uses its chips, has formally surpassed all other systems in Europe in speed.
In terms of supercomputers utilized for scientific domains ranging from biotechnology to climate research, the agreements reflect European institutions seeking to maintain their competitiveness versus the United States.
Nvidia’s goal was to convince scientists to utilize its chips to speed up difficult computer tasks, including modeling climate change, even before it became a dominant force in artificial intelligence. Numerous exact computations were needed to solve those difficulties, which may take months at a time.
Currently, Nvidia is trying to convince scientists to use AI. The outcomes of a few exact computations can be used by such AI systems to generate predictions that, although not as accurate as the completely computed results, can nevertheless be helpful and require a lot less time.
The “Climate in a Bottle” AI model was introduced by Nvidia on Tuesday. During a press briefing, Dion Harris, head of data center product marketing at Nvidia, stated that scientists will be able to create a forecast for 10 to 30 years in the future and see what the weather might be like at any kilometer or so of the earth’s surface by entering a few initial conditions, such as sea surface temperatures.
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“Researchers will use a combined approach of classical physics and AI to resolve turbulent atmospheric flows,” Harris stated. “This technique will allow them to analyze thousands and thousands more scenarios in greater detail than ever before.”
