Atlancis Technologies, a Kenyan cloud and compute infrastructure company, has unveiled a GPU-powered Artificial Intelligence factory under its Servernah Cloud brand, it announced on November 10. Hosted at iXAfrica Data Centres in Nairobi, the facility is designed to deliver hyperscale compute performance tailored to the continent’s unique challenges—marking a significant step toward digital sovereignty and local innovation.
Built on Open Compute Project design principles and powered by NVIDIA GPUs, the Servernah AI-as-a-Service platform offers scalable, energy-efficient infrastructure for high-performance computing, machine learning, deep learning, and data analytics. “This is the heart of Africa’s AI revolution,” said Daniel Njuguna, Founder and CEO of Atlancis Technologies. “We are proving that world-class innovation can be designed, built, and powered from within Africa.”
This infrastructure arrives at a time when Africa faces a significant AI compute deficit. In 2024, the Middle East and Africa held just 2% of the global GPU for AI market, valued at $351.62 million, according to Cognitive Market Research. However, the region is projected to grow at a compound annual rate of 30.3% through 2031, signaling immense potential for expansion.
Across the continent, similar developments are gaining momentum. Cassava Technologies announced a $700 million partnership with NVIDIA to deploy GPU-powered AI data centers across multiple African countries. Meanwhile, in early 2024, the UAE-based AI firm G42 partnered with Kenya’s EcoCloud to develop a geothermal-powered data center.
Global cloud giants are also taking notice. Microsoft plans to invest in a cloud and AI infrastructure in South Africa by 2027, while in October 2025, UniCloud Africa unveiled a Sovereign Cloud and AI platform across six countries. These moves reflect a broader shift toward “Sovereign AI,” where African nations build domestic infrastructure to retain control over data and innovation.
The Servernah deployment makes high-performance GPUs locally accessible, empowering African enterprises, researchers, and governments to build and deploy AI models without relying on foreign infrastructure.
Hikmatu Bilali
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