OPROCESSOR Inc. is seeking potential acquirers for its US patent portfolio and VCSEL-based photonic interposer technology, setting an aspirational transaction target of approximately $1 billion as semiconductor companies explore optical interconnects for next-generation multi-die graphics processing units (GPUs).
The company said its patented technology is designed to address connectivity limitations emerging as conventional semiconductor scaling approaches physical and practical constraints. As GPU architectures incorporate increasing numbers of compute dies, traditional electrical interconnects face challenges involving transmission distance, bandwidth and interposer dimensions.
OPROCESSOR’s technical analysis, titled VCSEL-Based Photonics for NVIDIA’s Multi-Die GPUs, published on Zenodo, proposes an optical interconnect architecture that uses vertical-cavity surface-emitting lasers (VCSELs) and photonic interposers to connect multiple GPU dies.
The proposed design uses optical waveguide butt coupling to establish communication between separate interposer chips. According to the company’s analysis, this approach could enable high-bandwidth, single-hop communication among multiple GPUs without requiring progressively larger electrical interposers.
The analysis estimates that an optical interface delivering 10 terabytes per second (TB/s) would require approximately 2.5 millimeters of chip-edge width. It also projects total optical losses of approximately 16.4–18.5 decibels across an eight-GPU interconnected configuration.
Optical Interconnects Target GPU Scaling Challenges
The technology builds on experimental research published in the journal Photonics in August 2025. The study demonstrated VCSEL-to-waveguide coupling, reporting propagation losses of 0.444 decibels per centimeter and coupling losses of 0.762 decibels.
OPROCESSOR holds granted US patents covering optical coupling and photonic integration technologies, including prism-based VCSEL coupling, wavelength multiplexing and photonic interposer integration. Its intellectual property portfolio also includes proprietary polyimide microlens fabrication techniques.
The company believes these technologies could have applications in future AI computing systems, where communication bandwidth between processing units is becoming an increasingly important consideration alongside raw computing performance.
“These patented technologies address critical challenges in scaling future multi-die GPUs and could provide a foundation for next-generation AI computing systems,” said Dr. Sahnggi Park, founder of OPROCESSOR.
OPROCESSOR is inviting discussions with semiconductor manufacturers, AI processor developers and strategic investors regarding patent acquisitions, exclusive licensing arrangements and technology partnerships.
