Kopin Analysis Finds Optical Interconnect Architecture Could Break the Data Center “Copper Wall”
Kopin and partner Fabric.AI released a white paper modeling how its MicroLED-based Neural I/o optical interconnect could lift useful AI training throughput by 1.3-1.6x per GPU, cutting training time 23-38% in a 10,000-GPU system. The architecture replaces serialized copper links with massively parallel optical channels, extending high-bandwidth connectivity from about one meter to tens of meters and expanding compute domains from ~72 GPUs to rows of 1,000+.
Key figures
- Demo target
- January 2027
- Payload bandwidth
- 3.2 terabits per second
- Production silicon target
- 2028
- Modeled training time reduction
- 23-38%
- Modeled training throughput gain
- 1.3-1.6x per GPU
AI analysis
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