Nvidia and HPE Join Forces to Build Cutting-Edge Supercomputer in Germany

• Nvidia (NVDA) and Hewlett Packard Enterprise (HPE) are collaborating with the Leibniz Supercomputing Centre to build the Blue Lion supercomputer, utilizing Nvidia’s “Vera Rubin” chips, set to enhance scientific research in biotechnology and climate studies by early 2027.
• Nvidia’s “Climate in a Bottle” AI model enables scientists to generate detailed 10- to 30-year weather forecasts using minimal initial data, combining classical physics and AI to analyze thousands of scenarios with unprecedented granularity.
• The Jupiter supercomputer at Forschungszentrum Julich, powered by Nvidia chips, has become Europe’s fastest system, underscoring Nvidia’s leadership in high-performance computing and its push to integrate AI for faster, predictive scientific outcomes.

The partnership between Nvidia (NVDA) and Hewlett Packard Enterprise (HPE) with Germany’s Leibniz Supercomputing Centre to develop the Blue Lion supercomputer marks a significant advancement in high-performance computing, set to empower scientific research by early 2027. Leveraging Nvidia’s next-generation “Vera Rubin” chips, Blue Lion, which delivers roughly 30x more computing power than SuperMUC-NG, LRZ’s current high-performance system, will enable researchers to tackle complex problems in fields like biotechnology and climate research, reinforcing Europe’s competitiveness in supercomputing against U.S. counterparts. The announcement, made at a supercomputing conference in Hamburg, Germany, aligns with Nvidia’s broader push to integrate its cutting-edge chip technology into global scientific infrastructure, as evidenced by the Lawrence Berkeley National Lab’s plans to deploy a similar system in the United States next year.

Nvidia’s influence in supercomputing extends beyond Blue Lion, with the Jupiter supercomputer at Germany’s Forschungszentrum Julich, powered by Nvidia chips, earning the title of Europe’s fastest system. This achievement underscores Nvidia’s long-standing role in accelerating computational tasks that demand extensive calculations, such as climate modeling, which historically could take months to complete. Originally focused on convincing scientists to adopt its chips for such tasks, Nvidia has evolved into a leader in artificial intelligence, now encouraging researchers to harness AI to complement traditional methods. By using AI to predict outcomes from limited precise calculations, scientists can achieve useful results in significantly less time, enhancing efficiency without sacrificing utility.

A key component of Nvidia’s vision is its newly unveiled “Climate in a Bottle” AI model, designed to revolutionize climate forecasting. According to Dion Harris, Nvidia’s head of data center product marketing, this model allows scientists to input initial conditions, such as sea surface temperatures, and generate detailed weather forecasts for 10 to 30 years across the globe at a granular level of approximately one kilometer. By combining classical physics with AI, researchers can analyze turbulent atmospheric flows, enabling the exploration of thousands of scenarios with unprecedented detail. This approach not only accelerates research but also broadens the scope of what’s possible in understanding complex systems like climate change.

The strategic collaborations with institutions like the Leibniz Supercomputing Centre and Forschungszentrum Julich highlight Nvidia’s and HPE’s pivotal roles in advancing scientific discovery through technology. As supercomputers like Blue Lion and Jupiter come online, they promise to drive breakthroughs in critical areas, from developing new biotechnologies to refining climate models that inform global policy. Nvidia’s dual focus on providing powerful hardware and innovative AI solutions positions it at the forefront of this transformation, with HPE’s expertise in system design and integration ensuring these systems meet the rigorous demands of modern research. These developments signal a new era of computational capability, where speed, precision, and predictive power converge to address some of the world’s most pressing challenges.

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