Lightelligence Returns to Nature After Eight Years

Gazelle^®️optical computing evaluation board is a new-generation research platform based on optical principles, capable of performing 8×2 fundamental optical matrix computations.

PACE^®️2 is an optoelectronic accelerated computing card released by Lightelligence in 2025, showing key features of high performance, programmability, versatility, and advanced packaging technology.

This paper was published in Nature Photonics and was completed by the team of Academician Dai Qionghai and Professor Fang Lu from Tsinghua University.

On December 19, 2025, the team of Chen Yitong from Shanghai Jiao Tong University published a paper in Science titled "All-optical synthesis chip for large-scale intelligent semantic vision generation"

Nature Publishes Lightelligence's Optoelectronic Hybrid Computing Achievement

At a time when the demand for AI computing power is growing exponentially, optical computing is highly anticipated for its ultralow latency and high energy efficiency. Reservoir Computing (RC) is a hardware-friendly, training-efficient computing paradigm.

In contemporary technology, integrated circuit (IC) design is both precise and complex. In the chip design flow, Electronic Design Automation (EDA) software is crucial, and the chip design verification process is a very important step. Chip verification checks whether the chip design is correct and secure, accounting for nearly 1/2 of the cost and time of chip design. Formal verification uses formal proof methods to verify whether the design's functionality is correct. It is a very important means of ensuring chip correctness and security and has become a key module of EDA software.

Lightelligence's optical computing chip arranges a series of optical matrix multipliers, utilizing the principle of rapid light propagation in photonic devices to achieve advantages of high throughput, low latency, and low power consumption. It can be used for the rapid solution of NP-complete problems, such as the maximum clique problem.

Lightelligence’s optical computing chip incorporates an array of optical matrix multipliers. By leveraging the principle of fast light propagation in photonic devices, it achieves the advantages of high throughput, low latency, and low power consumption. It can be applied to rapidly solve NP-complete problems, such as the maximum clique problem.