Harnessing Exascale with AI-Augmented Hybrid Computing

The ongoing increase in the volume and complexity of data demands exponential rises in computing power. While reaching unprecedented performance for accelerated simulation remains the predominant aim in the Exascale journey, industries and academia face the challenge of keeping energy consumption under control while retaining their digital and economical sovereignty. Join Eric Eppe, Atos’ Head of Portfolio and Solutions, HPC & Quantum, who will elaborate on Atos’ vision, strategy, and roadmap for Exascale with the AI-augmented hybrid HPC, BullSequana XH3000: • Boosting HPC global system efficiency and availability at scale by combining accelerated hybrid computing platforms and embedding best-of-breed processing units with AI-augmented software suite and mechanism • Achieving unrivaled efficiency with 4th gen Direct Liquid Cooling (DLC) and smart software suites to continuously reduce carbon footprint while optimizing application performance • Crafting an “all-in-one” rack design with standardized slots for interchangeable compute and switchblade to reach industry-leading density and flexibility, enabling any scale to Exascale simulations • Getting ready for quantum-accelerated HPC with the Open Sequana program and close collaborations with trendsetters • Running your workload anywhere, on-prem or in the cloud with seamless data management With its BullSequana XH3000 supercomputer, its hybrid computing ecosystem integrating AI and quantum, Atos demonstrates a clear and comprehensive Exascale roadmap to empower the future of scientific simulation, while taking into account the importance of decarbonization and sovereignty.