Fabric.AI Files U.S. Patent Application Titled 'LED Emitter Array Optical Interconnect With Surplus Physical Channels For Data Center Computing' To Secure Its Jointly Owned IP With Partner Kopin

Through their partnership, Fabric.AI and Kopin are jointly developing MicroLED-based optical interconnect technology designed to address bandwidth and energy-efficiency constraints in next-generation AI data centers.

The design also spreads error-correction data across the whole array. Because the system knows exactly which channel has failed, it can rebuild the lost information without interrupting traffic. Fabric.AI believes that same margin could also support higher speeds per channel, and its internal modeling points to a path from 2 Gbps toward 2.5 to 3 Gbps. These are projections, not shipping specifications.

Spare channels, with a clear order of priority

In the architecture described in the patent application, redundancy and repair always come first. If an emitter-detector pair fails, a spare takes its place, and the system can reclaim any spare channel allocated to another use.

The application also describes spreading error-correcting codes across the array. Because the system knows which channel has failed, it can treat the missing data as an error at a known position and correct it without interrupting traffic. Fabric.AI believes this error-correction margin could also allow each LED to run faster, with Company modeling indicating a path from 2 Gbps per channel toward 2.5 to 3 Gbps.

Barrier sync: a faster way to say "I'm done"

During distributed AI training, participating GPUs must finish their assigned work and synchronize at designated points before proceeding. In conventional systems, that "I'm done" signal travels over the same SerDes links as other traffic and can wait in line behind bulk data.

In the proposed architecture, each GPU signals readiness by lighting one or two spare emitters directly onto a shared photodetector, and a comparator detects when the last GPU is ready, greatly increasing GPU utilization.

Additional uses include clock distribution, isolating latency-critical traffic, and analog computation.

The application adds to Fabric.AI's growing intellectual property position around Neural I/o™, the MicroLED-based optical interconnect architecture the Company is developing in collaboration with Kopin to address the data-movement, bandwidth and energy-efficiency demands of next-generation AI infrastructure. The Company continues to expect to demonstrate functioning Neural I/o hardware in January 2027.