成立 5 年最高估值超百亿，摩尔线程之后，又一家AI芯片独角兽争当“国产 GPU 第一股”

Core Viewpoint - The article highlights the progress of Mu Xi Integrated Circuit (Shanghai) Co., Ltd. in its IPO journey, indicating its completion of the IPO counseling process and readiness to submit listing materials for A-share listing, marking a significant step forward for the company in the competitive domestic GPU market [1][19]. Company Overview - Mu Xi was established in September 2020 and focuses on high-performance GPU computing, providing full-stack GPU chips and solutions applicable in various advanced fields such as intelligent computing, smart cities, cloud computing, autonomous driving, digital twins, and the metaverse [5][6]. - The company has a strong founding team with significant experience in GPU design, including its CEO Chen Weiliang, who has nearly 20 years of experience and previously led GPU design at AMD [5][6]. Product Development - Mu Xi has launched three major series of GPU products: - Xi Yun® C series for general computing scenarios - Xi Si® N series for intelligent computing inference - Xi Cai® G series specifically for graphics rendering [10][6]. - The latest product, MXC500 Xi Yun series, aims to compete with NVIDIA's A100/A800, targeting FP32 computing power of 15 TFLOPS [7]. Financial Performance - In 2023, Mu Xi reported revenue of 107 million RMB and a loss of 846 million RMB, with projected revenue of 1.255 billion RMB and a loss of 500 million RMB for 2024 [9]. Funding and Valuation - Mu Xi has completed eight rounds of financing, raising over 2 billion RMB, with investments from various state-owned and venture capital firms [11][12]. - The company is valued at approximately 1 billion RMB, positioning it among other emerging domestic GPU manufacturers like Mo Er Thread and Sui Yuan Technology, which are also pursuing IPOs [20]. Industry Context - The domestic GPU market is experiencing intense competition, with several companies, including Huawei HiSilicon, Cambricon, and others, entering the space to meet the growing demand for AI model training and applications [14][16]. - The rise of AI models like DeepSeek has created opportunities for domestic chip manufacturers to enhance their market competitiveness through software-hardware collaboration [21][22].