Nvidia is in a partnership with Hewlett Packard Enterprise, and on Tuesday, they revealed plans to partner with the Leibniz Supercomputing Centre to build a new supercomputer with Nvidia’s next-generation chips.
The project is reportedly called “The Blue Lion supercomputer,” will use Nvidia’s “Vera Rubin” chips, and is expected to become available to scientists by early 2027.
Nvidia is deep in the waters of supercomputing
The announcement was made at a supercomputing conference in Hamburg, Germany, and it comes after Nvidia’s announcement that the Lawrence Berkeley National Lab in the United States also has plans to build a system using the chips next year.
Much is expected, but Nvidia’s products have already proven themselves many times over.
Jupiter, another supercomputer that uses its chips at the German national research institute Forschungszentrum Julich, is now officially Europe’s fastest system, while the company’s chips remain sought after globally.
Supercomputer Jupiter at the 🇩🇪 research powerhouse Forschungszentrum Jülich is now Europe's fastest supercomputer & 4th fastest globally.
At full capacity, Jupiter needs less than one week to train a large AI model, known as large language model (LLM) #ResearchInGermany pic.twitter.com/cvKgJ5TrPd
— German Embassy London (@GermanEmbassy) June 10, 2025
The deal aligns with the desire of European institutions aiming to stay ahead of the U.S., especially where supercomputers used for scientific fields from biotechnology to climate research are concerned.
Nvidia is a perfect partner to realize those dreams. Before it became recognized as an artificial intelligence semiconductor chip powerhouse, Nvidia was all about persuading scientists to use its chips to speed up complex computer problems, such as modeling climate change.
Now, Nvidia is busy trying to persuade scientists to use artificial intelligence. Such AI systems can take the results of a few precise calculations and use them to make predictions that may not be as accurate as the fully calculated results, but still prove useful while taking far less time.
On Tuesday, Nvidia unveiled what it tags its “Climate in a Bottle” AI model, and in a press briefing, Dion Harris, head of data center product marketing at Nvidia, said it would allow scientists to 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.”
Nvidia holds the worlds of AI and supercomputing together
Nvidia’s recent deals already prove that the company is at the heart of AI infrastructure and in the future, the company may become indispensable to the industry.
Not too long ago, it was revealed that the company has partnered with the UK to create a new AI testing environment. This is crucial as Britain reportedly lacks the computing infrastructure to deliver the full potential of its leading artificial intelligence research base.
“The UK is the largest AI ecosystem in the world without its own infrastructure,” Huang told an audience at London Tech Week alongside Prime Minister Keir Starmer, citing the country’s top universities, startups and third-largest AI venture capital market.
He praised Starmer’s plan to boost Britain’s domestic computing capabilities by 20 times and provide 1 billion pounds ($1.36 billion) of investment.
“The ability to build these AI supercomputers here in the UK will naturally attract more startups, it will naturally enable all of the rich ecosystem of researchers here,” he added, tagging Britain as “an incredible place to invest”.
The FCA has partnered with Nvidia to provide access to advanced computing power and bespoke AI, a move it hopes will help firms in the early stages of exploring AI, offering access to technical expertise, better datasets, and regulatory support.
Finance minister Rachel Reeves has also urged Britain’s regulators to get rid of any barriers to economic growth, describing it as an “absolute top priority” for the government. Already, the UK is lagging behind in the race for AI dominance, and if it is to catch up, people like Reeves believe the red tape has to be cut first.
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