Qusu Technology

Shanghai Qusu Chaowei Technology Co., Ltd. (Qusu Technology) is a fabless semiconductor firm headquartered in China, focused on the design of high-performance computing (HPC) and artificial intelligence (AI) chips. The company’s stated mission is to empower its clients through custom chip solutions, aiming to establish itself as a leader in the artificial intelligence chip sector. The firm’s technical specialization lies in creating bespoke System-on-Chip (SoC) and General-Purpose Graphics Processing Unit (GPGPU) architectures tailored for AI workloads. Its operations encompass the full design lifecycle, from defining module functions and microarchitecture to performance, power, and area (PPA) optimization. To support its hardware, Qusu Technology develops a corresponding software stack, including AI operator libraries, basic math libraries, deep learning frameworks, and chip compilers, indicating a comprehensive approach to providing integrated hardware and software solutions. Qusu Technology is staffed by a highly qualified team, with over 80% of its employees holding master's or doctoral degrees from prominent universities in the United States and China. The core research and development personnel possess extensive experience in chip design and AI algorithms, with an average of more than ten years in the field. The company's business model appears to be centered on providing custom-designed chips and underlying technologies to enterprises that require specialized, high-performance computing capabilities.Strategically located in the Shanghai Free-Trade Zone, the company maintains a network of R&D centers and offices in other major Chinese technology hubs, including Beijing, Hangzhou, Xi'an, and Shenzhen. Keywords: GPGPU design, custom AI chips, fabless semiconductor, high-performance computing, HPC, chip design, SoC architecture, AI accelerator, deep learning hardware, computing chip, microarchitecture, ASIC design, AI algorithms, semiconductor design, Shanghai, artificial intelligence hardware, custom silicon, PPA optimization, AI operator library, deep learning framework, chip compiler