Nigerian technology company Udu Technologies has partnered with pan-African innovation network AfriLabs to expand access to artificial intelligence (AI) computing resources for startups and developers across the continent.
Announced on 21 October 2026, the partnership combines UduTech’s high-performance computing capabilities with AfriLabs’ network of innovation hubs in 53 African countries.
It aims to help early-stage companies develop AI applications for sectors including financial services, healthcare, education and agriculture.
A key part of the agreement is the creation of a dedicated AfriLabs Compute allocation on UduTech’s platform.
This will allow partner organisations and development funders to contribute or match AI credits, giving selected startups and innovation hubs access to computing resources that might otherwise be prohibitively expensive.
Graphics processing units are essential for training and running many modern AI models. However, the cost of high-performance chips, cloud services and technical expertise can limit experimentation by smaller African companies, particularly those without institutional backing or significant investment.
By linking computing access to AfriLabs’ hub network, the partners aim to reach startups beyond the continent’s largest technology centres. Innovation hubs typically support early-stage businesses through mentorship, training, networking and investor connections.
The partnership is expected to extend this support to include access to computing resources.
The agreement also includes plans to develop AI training programmes and resources for hub managers through AfriLabs Academy. These are intended to help managers guide entrepreneurs and identify opportunities to apply AI to local market needs.
UduTech is also expected to participate in AfriLabs’ annual gathering, providing opportunities to engage with governments, universities, businesses and development organisations.
The partnership builds on the organisations’ earlier collaboration on AI BRIDGE, a compute-backed research project aimed at reducing gender bias in datasets and addressing the underrepresentation of African languages in AI resources.
The project received recognition in the digital Frontiers category at the 2026 Digital@UNGA Awards, organised by the International Telecommunication Union and the United Nations Development Programme.
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