C A S E S T U D Y
YEMAACHI BIOTECH ACCELERATES AI- DRIVEN GENOMIC DISCOVERY POWERED BY THE NEXSAN UNITY NV10000
David Hutchful, CEO, Yemaachi BioTech
Yemaachi BioTech is harnessing sovereign AI-ready infrastructure to process petabyte-scale genomic datasets locally and accelerate precision medicine research across Africa. Powered by the BlueNODE platform from BlueSPACE and anchored by the Nexsan Unity NV10000, the deployment delivers the high-performance storage and compute needed to drive advanced Machine Learning workloads under full local control.
African genomics is undergoing a profound shift as research organisations gain access to advanced, sovereign AI infrastructure built directly on the continent.
Yemaachi BioTech, one of Africa’ s most forward-looking precision medicine companies, sits at the centre of this transformation. Its mission is ambitious: decode African genomic diversity at scale and apply Machine Learning to uncover biomarkers, disease susceptibilities and therapeutic insights that have long been overlooked in global research.
Achieving this requires not only scientific expertise but an extraordinary level of data infrastructure capable of handling petabytes of genomic information with the speed, reliability and security demanded by AIdriven workflows.
To support this mission, Yemaachi now operates on a BlueSPACE-delivered BlueNODE platform, a sovereign AIready compute and storage environment specifically designed for African research institutions. At the heart of this 3.2PB deployment is the Nexsan Unity NV10000, which contributes 2.6PB of high-performance unified storage.
The Unity NV10000 provides the throughput, scale and security essential for transforming raw genomic sequences into actionable scientific insight – all while ensuring that Yemaachi’ s highly sensitive genomic data remains fully under local control.
Powering a mission that depends on data
Yemaachi BioTech’ s work spans whole genome sequencing, population-level genomic studies, AI-driven variant analysis and precision medicine research.
African genomes, representing the most genetically diverse populations in the world, offer a unique window into global health innovation. But fully harnessing that potential demands immense computational resources.
A single sequenced genome can generate hundreds of gigabytes of data; Yemaachi’ s research spans thousands of samples across multiple disease areas. Turning these datasets into intelligence requires powerful storage capable of high-speed ingest, parallel processing and rapid access for Machine Learning pipelines. Before the BlueNODE deployment, the scale and speed necessary for modern genomic science were
14 www. intelligentdatacentres. com