en.Wedoany.com Reported - Swiss startup Lightium has selected Aras Innovator as its product lifecycle management (PLM) platform for developing next-generation photonic integrated circuits (PICs) for artificial intelligence and high-speed networking applications. Founded in September 2023, the company focuses on thin-film lithium niobate (TFLN) based photonic chip technology, currently manufacturing on a 200mm wafer process and offering PIC foundry and design services.
The photonic integrated circuits developed by Lightium use optical signals instead of electrical signals to transmit data, aiming to reduce latency and improve energy efficiency in AI data centers. Current systems support transmission rates up to 800 Gbps, with next-generation designs targeting 1.6 Tbps and a long-term roadmap aiming for over 6 Tbps. The company claims its technology can reduce energy consumption by more than 30%. Target markets include AI infrastructure, data communications, telecommunications, quantum computing, and space applications.
Lightium stated that the lack of mature PLM standards in the photonics industry was one of the reasons for choosing Aras Innovator, a platform capable of adapting to photonics-specific workflows and connecting development data, simulation environments, and project processes. The company is also integrating AI-driven methods into the development process to improve efficiency. Aras Innovator will serve as the company's PLM and digital thread platform, helping manage increasingly complex photonic design workflows, including simulation data, project structures, manufacturing processes, and cross-disciplinary engineering collaboration.
"In modern AI data centers, the biggest bottleneck is no longer computing power, but data transmission," said Amir H. Ghadimi, Co-founder and CEO of Lightium. "This is exactly where we come in: with photonic integrated circuits, we can scale performance beyond what today's technology can achieve, while significantly reducing energy consumption." Lightium's emphasis on TFLN technology positions it among photonics innovators seeking alternatives to traditional silicon-based photonics, aiming to address the power consumption and bandwidth bottlenecks emerging in large-scale AI clusters, with related fields also including co-packaged optics, advanced modulators, and photonic computing architectures.
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