SAN FRANCISCO, June 10 (Reuters) - Nvidia ( NVDA ) and

Hewlett Packard Enterprise ( HPE ) said on Tuesday they are

partnering with the Leibniz Supercomputing Centre to build a new

supercomputer using Nvidia's ( NVDA ) next-generation chips.

The Blue Lion supercomputer, as the project is called, will

become available to scientists in early 2027, using Nvidia's ( NVDA )

"Vera Rubin" chips.

The announcement, made at a supercomputing conference in

Hamburg, Germany, follows Nvidia's ( NVDA ) announcement that the

Lawrence Berkeley National Lab in the United States also plans

to build a system using the chips next year.

Separately, Nvidia ( NVDA ) also said that Jupiter, another

supercomputer using its chips at German national research

institute Forschungszentrum Julich, has officially become

Europe's fastest system.

The deals represent European institutions aiming to stay

competitive against the U.S. in supercomputers used for

scientific fields from biotechnology to climate research.

Long before it became an artificial intelligence powerhouse,

Nvidia ( NVDA ) set out to persuade scientists to use its chips to speed

up complex computer problems, such as modeling climate change.

Those problems required many precise calculations that could

take months at a time.

Nvidia ( NVDA ) is now working to persuade scientists to use

artificial intelligence. Those AI systems can take the results

of a few precise calculations and use them to make predictions

that, while not as accurate as the fully calculated results, can

still be useful while taking far less time.

Nvidia ( NVDA ) on Tuesday unveiled what it calls its "Climate in a

Bottle" AI model. In a press briefing, Dion Harris, head of data

center product marketing at Nvidia ( NVDA ), said scientists will be able

to input a few initial conditions such as sea surface

temperatures and generate a forecast for 10 to 30 years in the

future and see what the weather may be like at any kilometer or

so of the earth's surface.

"Researchers will use combined approach of classic physics

and AI to resolve turbulent atmospheric flows," Harris said.

"This technique will allow them to analyze thousands and

thousands more scenarios in greater detail than ever before."

(Reporting by Stephen Nellis in San Francisco; Editing by

Lincoln Feast.)