Insights

Africas AI future 360x320

Africa’s AI future won’t be borrowed. It will be built.

African governments generate vast quantities of citizen data, from health records to tax filings, land registries, and school enrolments. Much of it leaves the continent to be processed, modelled, and monetised on foreign infrastructure. The insight comes back at a premium, while the economic value stays elsewhere – and AI is accelerating this. However, this is shifting, and quickly. Gartner projects that by as early as 2027, 35% of countries will be locked into region-specific AI platforms built on proprietary data, up from 5% today. Africa can’t afford to be on the wrong side of that divide. What’s needed is investment in large-scale sovereign infrastructure to ensure that when AI transforms public services ... Read More
Kenya Data Infrastructure

Why local data infrastructure matters for Kenya’s digital future

Kenya’s digital economy has already demonstrated what’s possible when connectivity, innovation, and policy ambition move in the same direction. Mobile services, fintech platforms, and digital public infrastructure have positioned the country as a regional leader. Now, as organisations move deeper into cloud platforms, analytics, and artificial intelligence, the question shaping decisions across both public and private sectors is: where should the infrastructure supporting these services sit? At Liquid Intelligent Technologies, a business of Cassava Technologies, we’re seeing more organisations in Kenya and across East Africa asking practical questions about where their data lives, how quickly it can be accessed, and ... Read More
Digital connectivity

When every millisecond counts: The business of speed in Africa’s digital economy

In today’s fast-moving digital world, speed isn’t just a technical detail; it’s a business advantage. Whether it’s a mobile payment, a live sports stream, or an online purchase, delays of even a few milliseconds can mean lost revenue, broken trust, or missed opportunities. When digital services lag, the impact ripples across millions of users. Streaming platforms lose viewers after just five seconds of buffering.  Some e-commerce giants even estimate that a 100-millisecond delay can result in a 1% decrease in sales. In Africa’s growing online shopping market, slow-loading websites and pages can mean the difference between making a sale and losing it entirely. ... Read More
Compute AI

Launch of Cassava Autonomous Network: Agentic AI for 4G and 5G Radio Access Networks

Cassava Autonomous Network takes Africa’s 4G and 5G networks from manual operations toward autonomous networks, accelerated by NVIDIA. Across the world, telecom operators face a stubborn paradox: radio access networks (RANs) are becoming denser and more complex, yet daily optimisation remains largely manual and slow. The 2026 NVIDIA State of AI in Telecommunications survey (1,038 respondents worldwide across telcos) indicates that 54% of respondents ranked network automation over customer experience as the top AI use case for investment and ROI, underscoring the industry’s shift toward autonomous networks and AI-driven ... Read More
Data centres The secret weapon 360x320

Data centres: The secret weapon in Africa’s silent race for digital independence

When people think about digital infrastructure in Africa, they often picture the new subsea cables landing on our shores. And those cables, including 2Africa, Equiano, and PEACE, are indeed headline-grabbing. But the real story is less about who lands the biggest pipe and more about what happens once the data comes onshore. That story is about latency, and right now, Africa is in a quiet but critical race to shape its latency future. Latency is about far more than speed. It’s about the cost of delivery, the reliability of services, and how willing users are to stay engaged. A few hundred milliseconds of delay doesn’t sound like much, until you realise ... Read More
GPUs   The supercomputers

GPUs: The supercomputers shaping Africa’s AI future

As Africa increasingly leans towards the local development of artificial intelligence (AI) solutions, one thing has become clear: we need enormous computing power. From preparing datasets to training, testing, deploying, and monitoring models, every stage of AI depends on access to high-performance infrastructure. Until recently, African innovators had to rely on overseas cloud services or invest in prohibitively expensive hardware. The arrival of GPU-as-a-Service (GPUaaS) changes that equation. By delivering advanced compute capacity directly from African data centres, GPUaaS enables developers, researchers, ... Read More