Sina Technology News, September 2nd, afternoon news, Infinigence AI announced the completion of nearly 0.5 billion yuan Series A financing. At this point, within 16 months since its establishment, Infinigence AI has completed nearly 1 billion yuan in financing. The lead investors in this round of financing include the Social Security Fund Zhongguancun independent innovation special fund (Junlian Capital acting as the manager), Qiming Venture Partners, and Hongtai Fund. Other co-investors include Lenovo Capital, Xiaomi, SoftBank, and other strategic investment firms. There are also state-owned funds such as Guokai Science and Technology Innovation, Shanghai Artificial Intelligence Industry Investment Fund (Lingang Science and Technology Investment acting as the manager), and Xu Hui Science and Technology Venture. In addition, there are financial institutions such as Shunwei Capital, Dacheng Capital, Detong Capital, Shangshi Capital, Senruoyukun, Swhy, and Zhengjing Capital.
It is reported that the funds raised in this financing round by Infinigence AI will be used to strengthen the recruitment of technical talents and technology research and development, maintain the technological advantage of synergistic software and hardware, and promote the commercialization of products. It aims to maintain a close integration between the Infini-AI heterogeneous cloud platform products and the market. It will also strengthen ecological cooperation, activate heterogeneous cluster computing resources, and build an AI computing power base that supports 'M models' and 'N chips', dedicated to becoming the preferred 'computing operator' in the era of large-scale models.
Xia Lixue, co-founder and CEO of Infinigence AI, said, 'Thank you to the various capital investors for their favor and trust in Infinigence AI, which has given us a firm confidence on our entrepreneurial journey of 'timing, location, and people'. The new 'Pareto principle' brought by the AI 2.0 wave has unified the new technological paradigm with the Transformer architecture. It means that only 20% of the key technical problems need to be solved to support 80% of the generalization in vertical scenarios. This provides a rare opportunity for the standardization and scale of joint optimization of software and hardware. The supply and demand contradictions and uneven distribution of resources in China's computing power ecosystem have created an era of opportunity for us to leverage upstream and downstream cooperation to achieve efficient integration of diverse heterogeneous computing power.' (Wen Meng)
