Singapore unveils world-first biological data center with 16 million living human neurons powering 20 computers in a landmark moment for AI

Singapore has unveiled a world-first biological data centre prototype that brings living human neurons into a server-rack environment, marking an unusual new step in the race to build more efficient and adaptive computing systems.Developed through a partnership between the Yong Loo Lin School of Medicine at the National University of Singapore (NUS Medicine), data-centre operator DayOne and biological computing company Cortical Labs, the prototype consists of 20 CL1 biological computing units. Each CL1 uses a network of lab-grown human neurons integrated with silicon hardware, meaning the 20-unit system is estimated to involve roughly 16 million neurons based on the reported figure of about 800,000 neurons per unit. The system was demonstrated at NUS on August 6 and is being positioned as a potential new approach to AI and computing.

16 million living neurons enter the world of computing

The Biological Data Centre prototype has been established at the NUS Life Sciences Institute as part of an effort to move biological computing from laboratory experiments towards practical computing infrastructure. NUS Medicine is working with Singapore-headquartered DayOne and Melbourne-based Cortical Labs on the project, with each partner bringing a different area of expertise. NUS provides expertise in neurobiology and will oversee the culturing and maintenance of the living cells, while DayOne contributes its experience in data-centre infrastructure and Cortical Labs provides the CL1 biological computing technology. NUS says the 20-unit deployment is the world’s first independently operated biologically integrated server rack. The prototype was showcased on August 6, when more than 80 guests from academia, technology, digital infrastructure and the private sector saw the CL1 and Cortical Cloud systems operating, including demonstrations of microelectrode-array integration and real-time neural network activity. The demonstration provided researchers with an opportunity to examine how living neural networks can be maintained and operated within an infrastructure designed to resemble a conventional computing environment. The project represents an attempt to build a new category of computing infrastructure in which biological systems work alongside conventional electronics rather than relying exclusively on silicon processors.