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Jupiter (supercomputer)

Product
Developers: EuroHPC JU (European High Performance Computing Joint Undertaking)
Date of the premiere of the system: October 2023
Branches: Information Technology
Technology: Supercomputer

2023: Building a Supercomputer

On October 3, 2023, the European Joint Venture for the Development of High-Performance Computing (EuroHPC JU) announced a contract for the creation of the most powerful supercomputer in Europe. We are talking about a computing complex called Jupiter, which will be mounted at the Juelich Research Center in Germany.

The project is attended by Eviden, the IT services division of the French corporation Atos. In addition, support will be provided by the German supercomputing equipment firm ParTec. The construction of the supercomputer system will be organized in early 2024: the cost of designing, producing and operating the complex is estimated at €500 million over five to six years.

Jupiter will be mounted at the Juelich Research Center in Germany

Jupiter's design involves the use of a modular architecture on the Eviden BullSequana XH3000 platform with direct liquid cooling. The system will combine a highly scalable accelerator unit (Booster) and a general purpose cluster (Cluster). The first will combine unnamed NVIDIA accelerators and Mellanox products, while the second will include high-performance and at the same time energy-efficient SiPearl Rhea processors based on the Arm architecture. In total, more than 260 km of high-performance cables will be used in the complex, which will provide network capacity of more than 2000 Tbit/s.

According to EuroHPC JU's plans, Jupiter's performance will exceed 1 Eflops. As of the beginning of October 2023, the most powerful supercomputer in Europe is the Lumi system installed in Finland: its performance reaches 309.1 Pflops. Thus, Jupiter will surpass Lumi in performance by more than three times. It is planned to use Jupiter to solve a wide range of problems: among them are medical research, artificial intelligence, development of functional materials, climate modeling, etc.[1]

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