Digital Autonomy with RISC-V in Europe The DARE (Digital Autonomy with RISC-V in Europe) initiative, coordinated by the Barcelona Supercomputing Center with 38 partners, is developing open-source chiplet processors for next-generation supercomputers and AI. The EuroHPC-supported project aims to reduce Europe’s reliance on foreign technology by creating secure, efficient, and scalable homegrown computing solutions. This effort strengthens European technological sovereignty, enabling institutions and industries to operate autonomously in high-performance computing. Latest updates from DARE Creating the next generation of processors Based on open source and highly adaptable tools DARE Digital Autonomy with RISC-V in Europe is a groundbreaking initiative driving Europe’s independence in high-performance computing and AI. By leveraging open-source technologies, DARE is developing cutting-edge chiplet processors — the essential building blocks for next-generation supercomputers. This effort is a critical first phase in a long-term plan to ensure secure, efficient, and scalable computing solutions tailored to European needs. A step forward for European digital capabilities Strengthening research, industry and innovation Supercomputing and AI are critical for scientific discovery, industry, and public services—yet Europe remains largely dependent on foreign technology. DARE addresses this gap by developing homegrown computing solutions, aimed at reinforcing Europe’s technological sovereignty . By fostering a self-sufficient ecosystem, DARE seeks to enhance Europe’s standing in the global tech landscape, enabling its institutions and industries to thrive autonomously. By international leaders in computing Meet the DARE consortium and partners Coordinated by Barcelona Supercomputing Center , this EuroHPC-supported project gathers 38 partners together to design and develop the RISC-V-based chiplets. DARE counts with a wide range of profiles, from research to industry and academic institutions , that will help ensure the efficiency, applicability and cost-effectiveness of the technologies developed.