Ericsson and Forschungszentrum Jülich sign MoU for AI using JUPITER

Ericsson and Forschungszentrum Jülich signed a Memorandum of Understanding on March 24, 2026, to develop Artificial Intelligence (AI) technologies tied to the continued evolution of 5G and the future introduction of 6G (IMT 2030) networks.

The effort centers on using JUPITER, Europe’s first “exascale” supercomputer, in work intended to address the AI requirements associated with 6G networks, including model approaches aimed at lowering energy use for network-related tasks.

The collaboration outlined exploration of AI models and methods for Ericsson’s core network, network management, and Radio Access Network (RAN). It includes benchmarking AI methods for execution speed, scalability to large datasets, information retention, and storage efficiency, with reference to neuromorphic computing and massive Multiple-Input Multiple-Output (MIMO) operations.

Researchers said the teams will examine ultra-efficient, “brain-inspired” computing approaches such as neuromorphic computing and discussed operational strategies such as heat recovery in High performance computing (HPC) and cloud deployments. “This collaboration has the potential to make a significant contribution to a more sustainable digital future. By combining our excellence in high-performance computing and our research into novel, neuro-inspired computing approaches with Ericsson’s expertise in telecommunications, we aim to develop more energy-efficient network solutions and strengthen a sovereign European digital infrastructure.” Professor Laurens Kuipers said. “The future of mobile networks is deeply intertwined with AI and the need for unparalleled energy efficiency. Our collaboration with Forschungszentrum Jülich, for years a global leader in supercomputing and applied physics, combines their research and computing power with our expertise in all domains of telecoms technology. We will explore architectures that define the next generation of telecommunication.” Nicole Dinion said. The organizations also described areas covering AI methods across Ericsson products, energy-efficient AI inference for radio and edge tasks, and HPC and cloud architectures based on Modular Supercomputing Architecture (MSA) concepts from exascale work at Forschungszentrum Jülich.