Core Insights - The Alice Recoque supercomputer will enhance Europe's AI and research capabilities while ensuring energy efficiency and technological sovereignty [1][4][21] Funding and Collaboration - The project has an overall cost of 554 million euros over five years, funded by EuroHPC JU and the Digital Europe Programme, with contributions from the Jules Verne consortium [3][20] - Collaboration involves multiple European entities, including France's GENCI, CEA, and partners from the Netherlands and Greece [3][22] Technical Specifications - Alice Recoque will exceed one Exaflop per second, marking a fiftyfold increase in computing capacity compared to the previous system while only increasing electrical power by five times [2][20] - The system will consist of 94 racks and will utilize next-gen AMD EPYC CPUs and AMD Instinct MI430X GPUs, along with European SiPearl Rhea2 processors [6][11][20] Energy Efficiency - The architecture will achieve up to 50% better energy efficiency per GPU compared to existing Exascale systems and is designed to meet Europe's green computing goals [12][20] - The system will utilize warm water for cooling, ensuring 100% of rack components are cooled efficiently [15][20] Applications and Impact - Alice Recoque aims to address significant societal, scientific, and industrial challenges, including climate modeling, healthcare innovation, and advanced materials [4][7][25] - The supercomputer will support the development of next-generation European foundational AI models and enhance data processing capabilities for scientific instruments [7][8][21] Strategic Importance - The project is seen as a cornerstone for reinforcing Europe's technological leadership in high-performance computing and AI [18][24] - It reflects a collective European ambition for digital sovereignty and aims to strengthen the European tech ecosystem [21][22]

Core Insights - The Alice Recoque supercomputer, developed by Eviden and AMD, will enhance Europe's AI and research capabilities while ensuring energy efficiency and technological sovereignty [1][17][24] - This project represents a significant investment of 554 million euros over five years, aiming to achieve a peak performance of 1 exaflop per second [3][16] Project Overview - Alice Recoque will be France's first and Europe's second Exascale supercomputer, designed to support scientific computing and AI [1][2] - The project is led by France's GENCI and operated by CEA, with contributions from the Netherlands and Greece [2][3] Technical Specifications - The supercomputer will surpass one Exaflop per second, marking a fiftyfold increase in computing capacity compared to the previous system while only increasing electrical power consumption by five times [2][16] - It will consist of 94 racks and utilize advanced AMD EPYC CPUs and MI430X GPUs, along with European Rhea2 processors [7][11][13] Energy Efficiency - Alice Recoque is designed to be energy efficient, with 25% fewer racks and components than other Exascale systems and up to 50% better energy efficiency per GPU [12][16] - The system will utilize Eviden's Direct Liquid Cooling technology, cooling 100% of rack components with warm water [15][16] Societal Impact - The supercomputer aims to address pressing societal, scientific, and industrial challenges, including climate modeling, healthcare innovation, and advanced materials [5][8][23] - It will facilitate breakthroughs across multiple domains by managing vast amounts of data generated by scientific instruments and AI applications [8][10] Collaboration and Sovereignty - The project emphasizes European technological sovereignty by integrating various European technologies and ensuring full traceability and regulatory compliance [9][10] - The collaboration between Eviden, AMD, and various European entities reflects a collective ambition to strengthen Europe's digital capabilities [18][24]

Core Insights - AMD and the U.S. Department of Energy (DOE) announced two next-generation supercomputers, Lux AI and Discovery, aimed at enhancing U.S. leadership in artificial intelligence (AI) and high-performance computing (HPC) [2][3] - The combined investment for these systems is projected to be $1 billion, sourced from both private and public funding, to establish a secure AI infrastructure in the U.S. [3][7] Group 1: Supercomputer Details - The Lux AI supercomputer, co-developed with ORNL, Oracle Cloud Infrastructure, and HPE, will be the first dedicated U.S. AI factory for science, set to be deployed in early 2026 [4][9] - Discovery will feature next-gen AMD EPYC CPUs and MI430X GPUs, designed specifically for sovereign AI and scientific computing, and is expected to be operational by 2029 [5][16] - Both supercomputers will support the U.S. AI Action Plan by accelerating AI-enabled science and enhancing national competitiveness [7][10] Group 2: Strategic Partnerships - The collaboration between AMD, DOE, ORNL, HPE, and Oracle emphasizes the importance of public-private partnerships in advancing scientific research and innovation [4][8] - U.S. Secretary of Energy Chris Wright highlighted the need for creative partnerships to maintain leadership in AI and science [6] - The partnership aims to leverage advanced computing technologies to address challenges in energy, medicine, and national security [3][4] Group 3: Expected Outcomes - Lux is designed to enhance the U.S. capacity for scientific AI, facilitating breakthroughs in various fields including energy innovation and national security [10][11] - Discovery aims to deliver higher performance and energy efficiency, driving advancements in critical areas such as advanced materials and manufacturing [14][17] - The integration of AI and HPC through these supercomputers is expected to significantly accelerate the pace of scientific innovation in the U.S. [12][13]