At the SC25 high performance computing conference in November, Hewlett Packard Enterprise (HPE) unveiled its latest advancements in large-scale computing, reinforcing its position as a global leader in supercomputing. The company confirmed two new systems for the Oak Ridge National Laboratory in the United States, developed in collaboration with AMD: the Discovery exascale machine and the Lux AI cluster. These systems are engineered to handle the next generation of high-intensity workloads that combine traditional scientific simulation with large-scale AI training, reflecting the evolving demands of modern research. HPE also announced Mission and Vision—two supercomputers built with NVIDIA technology for Los Alamos National Laboratory. These systems are designed to support critical national security research and advanced scientific discovery, further expanding HPE’s footprint in mission-driven computing. This wave of announcements builds on HPE’s long-standing leadership in the supercomputing space. Its technologies power three of the top ten systems on the Top500 list and multiple entries on the Green500, which ranks the world’s most energy-efficient supercomputers. This success stems from decades of in-house research and development through HPE Labs, as well as strategic acquisitions of Cray and SGI, which brought deep expertise in high-performance architectures and scalable systems. HPE’s influence extends across Europe as well. The IsambardAI supercomputer at the University of Bristol stands as one of the UK’s most advanced AI-focused platforms. Built using HPE’s modular datacenter design—known as ModPod—and supported by a dedicated services team, the system was delivered quickly and is already driving innovation in materials science, climate modeling, and other high-impact fields. Its open, sovereign architecture ensures access for both academic and industrial researchers, promoting digital independence. Sustainability remains a core pillar of HPE’s current generation of systems. With over 300 patents in direct liquid cooling technology, HPE has pioneered energy-efficient cooling solutions for decades. Flagship installations like the Lumi supercomputer in Finland are now pushing the envelope further by capturing and reusing waste heat from compute clusters to support local heating networks and energy initiatives—turning excess heat into a valuable resource. At the heart of HPE’s strategy is a clear blueprint: delivering systems that are efficient, scalable, and built with digital sovereignty in mind. This approach enables the platform to serve both national research priorities and commercial-scale AI operations, such as massive model training and digital twin development. As AI and data-driven science continue to demand ever-larger compute resources, the challenge lies in balancing performance, sustainability, and sovereignty. HPE’s integrated approach—combining cutting-edge hardware, intelligent cooling, modular design, and deep expertise—positions it at the forefront of shaping the next generation of global supercomputing.