DayOne Data Centers has launched Singapore’s first Biological Data Center Prototype with Cortical Labs and the Yong Loo Lin School of Medicine at the National University of Singapore. The project places living biological systems inside a working digital infrastructure environment, creating a test bed for computing architectures that could complement conventional silicon. The move comes as Singapore expands AI capacity while facing tighter constraints around electricity, efficiency and resource consumption. It also pushes biological computing beyond laboratory research and toward infrastructure-level experimentation.
The prototype brings a 20-unit Cortical Labs CL1 biological computing system into an independently operated server rack at NUS Medicine. DayOne designed and supports the infrastructure hosting the deployment, while Cortical Labs supplies the biological computing technology and NUS Medicine contributes neuroscience expertise. The arrangement gives researchers a live environment to examine how biological systems can support workloads that traditionally depend on silicon processors. The companies position the deployment as a potential route to increasing compute capacity without simply adding conventional power demand.
Living Neurons Enter the Computing Stack
Biological computing relies on living neurons grown from stem cells and connected to silicon-based hardware. Electrical signals stimulate the neurons, while their responses and adaptations allow the system to process information through biological mechanisms. That architecture could prove useful for workloads that benefit from learning, adaptation and efficient processing rather than raw computational scale. The potential appeal becomes sharper as AI operators confront rising power requirements from increasingly dense computing infrastructure.
Cortical Labs’ CL1 system gives the initiative a practical foundation for exploring those possibilities inside an institutional research setting. The project will examine neuro-inspired AI, biomedical modeling, drug discovery and neurological disease research. Researchers can also investigate whether biological systems offer advantages when datasets remain limited or conditions change rapidly. Meanwhile, the infrastructure model creates a bridge between frontier neuroscience and the operational requirements of mission-critical computing.
DayOne Frames Biology as a Strategic Infrastructure Bet
DayOne CEO Jamie Khoo said the company sees the project as part of a broader effort to rethink what digital infrastructure should deliver. The company operates across nine markets in Asia Pacific and Europe and has secured about 2.1 gigawatts of bookings since its inception. Its Singapore strategy now extends beyond conventional data center capacity into technologies that could influence how future compute infrastructure consumes resources. The prototype therefore gives DayOne a strategic position at the intersection of AI growth, infrastructure design and sustainability.
“Our commitment to Singapore goes beyond capacity. We are here to help shape what the next generation of digital infrastructure looks like, and that means investing in approaches that meet Singapore’s sustainability ambitions alongside its AI ambitions. This prototype is a step toward demonstrating that scaling compute and reducing resource intensity are goals we can pursue together,” said Jamie Khoo, Chief Executive Officer of DayOne. “Singapore has the research depth, infrastructure capability, and collaborative ecosystem to lead that exploration. We are proud to contribute to translating frontier scientific research into practical impact, with world-class partners, in one of the world’s most sustainability-driven markets.”
Cortical Labs Targets Commercial Applications
For Cortical Labs, the prototype represents a shift from demonstrating biological intelligence toward identifying commercially valuable workloads. Hon Weng Chong, the company’s founder and CEO, said biological systems could supplement AI where limited data and changing conditions create challenges for conventional approaches. The company is examining applications spanning drug discovery, humanoid robotics, cybersecurity and fraud detection. Singapore’s role as a major data center and technology hub gives the project a potential launch point for wider deployment.
“The establishment of this prototype shifts the conversation from research to commercial application,” said Hon Weng Chong, Founder and CEO, Cortical Labs. “Biological computing supplements AI in areas where data is sparse, learning from far less and adapting as conditions change. Our aim is to uncover the use cases where that advantage matters most, in areas such as drug discovery, humanoid robotics, cybersecurity and fraud detection. Ultimately, this is about offering a more sustainable path for the technologies humankind depends on. Singapore is the innovation hub for Asia’s data centre industry, and what we build here is the model we intend to replicate and scale globally.”
Singapore Expands Its Frontier Computing Strategy
The prototype aligns with Singapore’s Green Data Center Roadmap, which calls for stronger energy-efficiency standards as the country accommodates additional AI and cloud workloads. The initiative gives policymakers and infrastructure operators another technology pathway to evaluate as conventional data centers push against energy constraints. However, biological computing remains an emerging architecture, and its ability to support large-scale commercial workloads will require further validation. Its significance today lies less in replacing silicon and more in establishing an alternative layer for specialized compute.
DayOne is also expanding its physical footprint in Singapore as it develops the biological computing initiative. Its SG1 data center reached structural topping out in May 2026 and remains on track to begin operations in early 2027. The company is also developing a Global Operations Command Center in the country while continuing investments in clean and resilient infrastructure across its regional platform. The combination of conventional capacity and experimental computing reflects DayOne’s broader ambition to make Singapore the strategic center of its global operations.
Biological Computing Moves Toward Infrastructure Reality
The launch marks an unusual convergence of neuroscience, AI infrastructure and data center engineering. Rather than treating biological computing as an isolated research concept, DayOne, Cortical Labs and NUS Medicine are testing it inside an operational infrastructure framework. The outcome could help determine where biological systems make economic and technical sense alongside GPUs, CPUs and other silicon architectures. For Singapore, the experiment adds another dimension to its effort to grow AI capacity without losing sight of energy efficiency and resource constraints.
The immediate challenge will be proving that biological systems can move from compelling demonstrations to repeatable workloads with measurable commercial value. The 20-unit CL1 deployment provides a controlled environment for that evaluation while giving researchers access to real infrastructure conditions. If the technology demonstrates meaningful advantages in selected workloads, the model could extend beyond biomedical research into broader AI and enterprise applications. For DayOne, the prototype offers an early stake in a computing paradigm that could become increasingly relevant as the physical limits of AI infrastructure become harder to ignore.
