The University of Cape Town (UCT) is set to establish what it describes as Africa’s largest GPU-intensive compute cluster dedicated to artificial intelligence research, a development designed to transition African researchers from consumers of global AI technologies to active contributors at the frontier of innovation.
The African Compute Initiative is part of the AI for Development programme, a £58 million partnership between the UK Foreign, Commonwealth and Development Office and Canada’s International Development Research Centre. The initiative seeks to overcome longstanding infrastructure limitations that have restricted Africa’s capacity to develop and scale AI technologies locally.
The compute infrastructure will be housed in UCT’s upgraded High-Performance Computing Data Centre, supporting AI model training, fine-tuning, inference, and large-scale simulations. Research applications are expected to span climate modeling, environmental simulations, epidemiological and health forecasting, natural language processing for African languages, and astronomical simulations.
“African researchers have the ideas and the talent, but they have been held back by a lack of access to the computing power that AI development demands,” said Jonathan Shock, interim director of the UCT AI initiative. “The African Compute Initiative changes that. It means researchers and students across Africa can work at the frontier of AI, not just consume what is built elsewhere.”
The cluster is expected to become operational within 12 months, initially targeting around 100 active users in its first year and scaling to 300 users across at least five institutions within three years.
The initiative builds on UCT’s existing expertise through the Inter-University Institute for Data-Intensive Astronomy, which operates the ilifu research cloud. Since 2015, ilifu has supported more than 1,000 researchers in astronomy and bioinformatics and currently serves over 600 active users. The new cluster will use the same OpenStack and Ceph technologies, reducing deployment risks and accelerating implementation.
Beyond UCT, access will extend to labs and research hubs across Africa, with training programs focused on early-career researchers and underrepresented groups. A social science research component, led by Annette Hübschle and supported by the Mozilla Foundation, will study participation patterns, identify access barriers, and develop equitable frameworks for computing resource allocation.
Environmental sustainability is also a core feature of the project. Plans include a 180-kilowatt-peak solar photovoltaic installation on UCT’s upper campus, expected to generate 220–240 megawatt-hours of renewable energy annually, offsetting roughly 200 tonnes of CO₂ each year.
By providing unprecedented computational power and infrastructure, the African Compute Initiative aims to position Africa’s AI researchers at the forefront of global innovation while fostering equitable access, training, and environmental responsibility.
