Linque builds silicon photonic integrated circuits that process data optically, delivering high‑speed, low‑latency AI and compute acceleration with significantly reduced power consumption and cooling needs. Its programmable photonic processing units are designed for cloud, data‑center, supercomputing, and edge environments, enabling scalable, energy‑efficient deployment of next‑generation algorithms.
Funding
Funding not disclosed
Founders
Product
Problem
Current AI and cloud computing workloads rely on electronic processors that consume large amounts of energy and generate significant heat, limiting scalability and increasing operational costs for data centers, supercomputers, and edge devices.
Solution
Linque addresses these limitations by developing silicon photonic integrated circuits that process data in the optical domain. By leveraging CMOS‑compatible photonic flow within chips, Linque’s hardware delivers high‑speed information encoding with substantially lower power consumption and reduced cooling requirements. The technology is programmable, allowing it to support emerging AI algorithms and compute‑intensive tasks across cloud, supercomputing, and edge environments. Linque’s solution combines dedicated photonic algorithms with scalable manufacturing to enable volume deployment for a range of applications, from data‑center acceleration to low‑latency edge processing.
Target Audience
Primary customers include cloud service providers, data‑center operators, supercomputing facilities, and edge computing vendors seeking energy‑efficient, high‑performance AI acceleration.
Features
- CMOS‑compatible silicon photonic integrated circuits that perform computation using light, reducing energy use and heat generation
- Programmable photonic processing units capable of supporting next‑generation AI and scientific algorithms
- High‑speed optical data encoding delivering low‑latency performance for edge and real‑time workloads
- Scalable manufacturing approach that allows volume production for data centers, supercomputers, and edge deployments
- Integrated photonic networking components to enhance data transfer efficiency within computing clusters