A Nigerian technology company is expanding the continent’s access to one of the most important building blocks of the artificial intelligence economy: high-performance computing.
Udu Technologies has launched Africa GPU Hub (AGHCloud.ai), a GPU cloud platform designed to give developers, businesses and governments across Africa more affordable access to the computing power required to build, train and run AI systems.
The platform provides on-demand access to Graphics Processing Units (GPUs), specialised processors capable of handling the intensive workloads involved in training and operating AI models and other advanced computing applications.
At the centre of the offering is affordability. According to Alexander Tsado, Chief Executive Officer of Udu Technologies, users can access GPU computing through the platform for less than one dollar per hour, potentially lowering one of the major cost barriers facing organisations seeking to develop AI solutions.
AGHCloud.ai also removes part of the technical burden traditionally associated with establishing AI infrastructure. Tools including PyTorch, TensorFlow, vLLM and LoRA come pre-configured, allowing developers to begin developing, training and deploying AI applications without first purchasing and managing their own GPU infrastructure.
Tsado said the platform was created to address both the financial and technical obstacles that have limited access to high-performance computing in Africa. Instead of spending months building and managing dedicated infrastructure, users can access computing resources within hours.
The infrastructure behind the platform already stretches across several African markets. Udu Technologies has deployed NVIDIA H100 and Blackwell Pro 6000 GPU clusters in Kenya, Malawi, Rwanda, South Africa, Togo and Zambia, giving the initiative a physical presence across seven African countries.
Although the company’s expansion is not being built around computing power alone. Tsado said Africa’s ability to benefit from AI will also depend on developing the people capable of turning computing capacity into practical solutions. Through a collaboration with Alliance4AI, Udu Technologies has supported AI education and skills development for professionals working in medicine, logistics and finance.
The initiative has so far served about 2,000 developers and supported more than 30 government AI use cases. Those applications span agriculture, customs, digital public infrastructure, mining and education, showing how AI computing is already being applied beyond the technology sector itself.
Bringing more computing capacity onto the continent could also address questions that extend beyond cost and performance. Oluwafunmilayo Olumoko, Head of Customer Success at the company, said infrastructure located within African markets can place computing resources closer to users and their data. She said this could support data residency and sovereign AI infrastructure requirements, particularly as discussions around data sovereignty become more prominent.
The company is also pointing to potential savings for organisations operating AI applications at scale. Its dedicated GPU virtual machines, paired with optimised open-source large language models, can deliver savings of up to 60 per cent in token costs, according to Olumoko.
AI development requires more than algorithms and applications; it requires the underlying computing infrastructure capable of powering them. By deploying that infrastructure across African markets while combining it with skills development and widely used AI tools, Udu Technologies is building another layer of the continent’s emerging digital capacity.
With a Nigerian company at the centre of the initiative, the development also adds to the growing evidence of African technology firms building infrastructure and services aimed at solving challenges within African markets rather than simply adapting systems created elsewhere.
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