Cerebras Expands AI Training and Inference Cluster at the University of Edinburgh to Accelerate AI Research and UK’s AI Capabilities EDINBURGH, Scotland & SUNNYVALE, Calif.—Today, the University of Edinburgh and Cerebras Systems announced the successful installation and launch of a state-of-the-art Cerebras CS-3 system cluster at the University. Operated by EPCC, the supercomputing center at the University, and integrated into the Edinburgh International Data Facility, the cluster comprises four CS-3 systems, each equipped with Cerebras's third-generation Wafer Scale Engine processors—the world's largest commercially available chips for artificial intelligence. This expansion is a significant step in boosting the University of Edinburgh's AI research capabilities and contributing to the broader advancement of AI in the United Kingdom. The CS-3 systems are designed to handle both training and inference tasks, making them highly versatile and powerful tools for researchers. Each Wafer Scale Engine (WSE-3) features 850,000 cores, 40 GB of on-chip memory, and 2.4 terabytes per second of memory bandwidth. These specifications enable the CS-3s to process complex AI models and datasets with unprecedented speed and efficiency. Professor David Hounshell, Chair in Innovation and Public Policy at the University of Edinburgh, expressed excitement about the new installation. "The addition of the Cerebras CS-3 cluster will revolutionize our approach to AI research. We can now tackle problems that were previously beyond our reach, thanks to the unparalleled computational power provided by these systems." The cluster's capabilities are expected to have far-reaching impacts on various fields, including healthcare, climate science, and materials research. Dr. Mark Parsons, Director of EPCC, highlighted the potential benefits. "With the CS-3 cluster, we can accelerate the development of AI-driven solutions across multiple disciplines. This will not only enhance our research outcomes but also position the UK as a leader in AI innovation." Cerebras Systems, known for its cutting-edge AI hardware, has been at the forefront of developing wafer-scale processors. The CS-3 systems leverage this technology to offer a significant leap in performance compared to traditional GPU clusters. Cerebras CEO Andrew Feldman emphasized the company's commitment to partnership. "We are proud to collaborate with the University of Edinburgh and EPCC. Our technology is designed to accelerate scientific discovery, and this installation will enable researchers to push the boundaries of what is possible in AI." The installation of the CS-3 cluster is part of a broader initiative to strengthen the UK's AI ecosystem. Recent investments in AI infrastructure and talent development have been instrumental in attracting leading-edge technologies and fostering collaboration between academia and industry. This collaboration is crucial for translating cutting-edge research into practical applications that benefit society. Moreover, the CS-3 cluster will support the University's efforts to address global challenges. For instance, in healthcare, AI models can help in the early detection of diseases, personalized treatment plans, and the development of new drugs. In climate science, the cluster can contribute to more accurate and timely simulations of climate patterns, aiding in the formulation of effective mitigation strategies. In materials research, it can facilitate the discovery of new materials with unique properties, driving innovation in industries such as manufacturing and renewable energy. The University of Edinburgh and Cerebras Systems plan to offer access to the CS-3 cluster to researchers across the UK and internationally, promoting a collaborative and inclusive approach to AI research. This will help to ensure that the benefits of the new technology are realized on a broader scale and contribute to the global advancement of AI. In addition to its research applications, the CS-3 cluster will also play a crucial role in education and training. Students and early-career researchers will have the opportunity to work with cutting-edge AI hardware, gaining valuable skills and experience that will be in high demand in the job market. This hands-on training will help to build a new generation of skilled AI professionals, further solidifying the UK's position as a hub for AI innovation. The launch of the Cerebras CS-3 cluster at the University of Edinburgh marks a pivotal moment in the region's AI landscape. With its advanced capabilities, the cluster will enhance the university's research efforts, support international collaboration, and drive progress in critical areas such as healthcare, climate science, and materials research. The University and Cerebras Systems are committed to making this technology accessible and ensuring that it serves the broader scientific community, helping to shape the future of AI.