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Supercomputing increasingly plays a critical role in advancing scientific discovery and enabling innovation across diverse fields, from climate modelling and healthcare to AI and data-intensive research. By providing the scale and performance needed to solve complex problems, it accelerates breakthroughs, supports global collaboration, and drives progress across multiple disciplines. As demand for high-performance computing grows, impact is increasingly shaped by how systems are designed and integrated at scale, with a focus on enabling efficient, distributed, and data-driven workloads. Key discussion points include:

• Enabling breakthroughs across science, healthcare, AI, and data-intensive research
• Supporting global collaboration and accelerates knowledge sharing
• Relying on system-level design integrating compute, memory, storage, and networking
• Evolving to meet the demands of distributed and large-scale workloads