锦秋基金领投「光本位科技」新一轮融资

Core Viewpoint - The article highlights the strategic investment by Jinqiu Capital in Guangbenwei Technology, a company specializing in photonic computing chips, emphasizing the significance of photonic computing as a breakthrough technology in the post-Moore's Law era [1][7]. Company Overview - Guangbenwei Technology was founded in 2022 and is the first company globally to commercialize photonic chips using silicon photonics and phase change materials (PCM) for integrated computing [4]. - The company has achieved significant milestones, including the development of a photonic computing chip with a matrix size of 128x128, surpassing the previous industry standard of 64x64 [4][6]. Investment and Financing - In December 2024, Guangbenwei Technology completed a strategic financing round led by Jinqiu Capital, with participation from existing investors such as Mush Capital, Xiaomiao Langcheng, and Zhongying Venture Capital [1][2]. - In June 2025, the company announced another financing round led by Dunhong Asset, indicating strong investor interest in the photonic computing sector [2]. Technology and Product Development - Guangbenwei's technology offers advantages such as smaller unit sizes and lower system energy consumption, making it suitable for large-scale AI computing scenarios [4]. - The company is currently working on the development of 256x256 photonic computing chips and has plans for a 512x512 chip, which could potentially exceed the performance of current leading electronic chip products [4][6]. Team and Expertise - The founding team consists of young scientists from prestigious institutions, including Oxford University and the University of Chicago, with expertise in photonic computing and AI algorithms [5][6]. - The operational and commercialization efforts are led by a co-founder with experience in large model algorithms and AI agent engineering [6]. Strategic Partnerships - In December 2024, Guangbenwei established a strategic partnership with a leading domestic internet company to collaborate on AI computing hardware [5].