Australian biotechnology company Cortical Labs is preparing to revolutionize the data center industry by developing the world’s first biological data centers, with planned locations in Melbourne and Singapore. This ambitious project builds on their breakthrough creation of the CL1, a pioneering biological computer that integrates 200,000 living human neurons capable of running code. By leveraging these lab-grown brain cells, the company aims to offer a novel and energy-efficient alternative to the conventional silicon-based processors that dominate today’s computing landscape.
The CL1 represents a significant milestone in the emerging field of ‘wetware’ technology, where living biological components replace traditional hardware. Cortical Labs has demonstrated the remarkable capabilities of these neuron-based systems through a series of experiments. In 2022, they showcased the neurons’ ability to learn and play the classic video game Pong, highlighting the potential for adaptive learning. More recently, in February, the company revealed that the biological computers could navigate the far more complex and dynamic environment of the game Doom, underscoring their growing sophistication and versatility.
Looking beyond gaming applications, Cortical Labs is now collaborating with DayOne Data Centers to integrate racks of CL1 units into operational facilities. This partnership aims to establish fully functional biological data centers that harness the computational power of human neurons cultivated from blood stem cells. The technology operates by sending electrical signals to these neurons, while embedded microchips monitor and record the neurons’ responses, effectively translating biological activity into usable computational output.
One of the most compelling advantages of this biological computing approach is its extraordinary energy efficiency. CEO Hon Weng Chong, each CL1 node consumes less power than a simple handheld calculator, which is a minuscule fraction compared to the energy demands of modern high-performance GPUs like those produced by Nvidia. This dramatic reduction in power usage could significantly mitigate the environmental footprint of AI data centers, which currently require vast amounts of electricity and water for cooling and operation.
Despite these promising developments, the technology still faces considerable challenges. Biological computers must overcome hurdles related to scaling their computational capacity to match or exceed that of advanced silicon chips, especially for handling complex, real-world artificial intelligence tasks. The transition from experimental setups to practical, large-scale deployment remains a critical step for Cortical Labs.
The company’s initial plans include outfitting the Melbourne facility with 120 CL1 units, while the Singapore site is expected to house up to 1,000 units, marking a significant scale-up. Should these projects succeed, Cortical Labs could fundamentally redefine the future of computing by demonstrating that the next generation of processors might not just be built from silicon and circuits, but from living human brain cells, blending biology with technology in unprecedented ways.
