Kopin and Fabric.AI Partner on MicroLED Data Center Interconnects

Kopin Corporation and Fabric.AI announced a strategic collaboration on April 28, 2026, to develop MicroLED-based optical interconnect technology for AI infrastructure, aiming to replace traditional copper wiring.

Kopin and Fabric.AI Announce MicroLED Collaboration for AI Infrastructure Kopin Corporation and Fabric.AI officially announced a strategic collaboration on April 28, 2026 , focused on developing novel MicroLED-based optical interconnect technology . This initiative is specifically designed to address the increasing demands of AI infrastructure by providing a superior alternative to traditional copper wiring within data centers. Addressing AI Bottlenecks with MicroLEDs The collaboration is driven by the critical need to overcome bottlenecks in data transfer that currently impede AI computing performance. Traditional copper wiring is a significant source of energy consumption and heat generation, especially when handling the high-bandwidth data transfers essential for advanced AI processing. By leveraging MicroLED technology, the partners aim to create a more energy-efficient and faster solution for inter-processor communication. Neural I/o™: A New Paradigm for Data Transfer Central to this development is the technology named Neural I/o™ , which repurposes MicroLED pixels to function as ultra-high-speed optical transceivers. This innovative approach promises to dramatically improve data transmission speeds and reduce the overall power footprint of data centers. Fabric.AI has demonstrated its commitment to this advancement by placing a $15 million purchase order with Kopin to support the development of the necessary demonstration chipset, underscoring the perceived potential of this technology. Reshaping the AI Hardware Ecosystem This partnership is poised to become a significant enabler within the rapidly expanding AI hardware ecosystem. The ability to replace energy-intensive copper interconnects with efficient optical solutions is seen as a crucial step in scaling AI capabilities and enabling the next generation of AI acceleration hardware. The success of Neural I/o™ could lead to substantial improvements in data center design and operational efficiency, paving the way for more powerful and sustainable AI deployments.