en.Wedoany.com Reported - Advantest Corporation (TSE: 6857) and OpenLight today announced plans to collaborate on developing scalable, high-volume silicon photonics test solutions. Advantest is a supplier of semiconductor test equipment, while OpenLight specializes in heterogeneous silicon photonics integration and custom photonic application-specific integrated circuit (PASIC) design.

As artificial intelligence and high-performance computing workloads continue to grow, data centers are increasingly adopting silicon photonics and co-packaged optics to meet the bandwidth, latency, and energy efficiency requirements of next-generation AI applications. In response to this trend, Advantest and OpenLight are partnering to address the unique challenges of testing high-volume electro-optical devices, such as optical engines. The two companies aim to establish end-to-end test solutions for mass production, enabling the scalable manufacturing of next-generation silicon photonics devices and driving the adoption of optical interconnect technologies in data centers and high-speed networking applications.

Adam Carter, CEO of OpenLight, stated that the company is working closely with foundry partners to design and manufacture innovative PASICs to support AI technology development. He expressed pleasure in joining this ecosystem and collaborating with Advantest, noting that Advantest's leadership in testing will help deliver precision solutions that create value for customers and meet mass production demands.

Doug Lefever, Representative Director and Group CEO of Advantest Corporation, said that as the company expands into silicon photonics, it is pleased to collaborate with OpenLight to accelerate the development of end-to-end semiconductor technologies. He noted that AI and high-performance computing continue to drive demand for higher bandwidth and energy efficiency, and this collaboration will drive innovation in test solutions, helping customers scale production and bring next-generation photonic technologies to market faster to meet the demands of the AI era.

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