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on september 2, 2024, infinigence ai announced the completion of nearly 500 million yuan in series a financing. so far, in just 1 year and 4 months since its establishment, infinigence ai has completed a total of nearly 1 billion yuan in financing.

the joint lead investors of this round of financing for wuwen xinqiong are the social security fund zhongguancun independent innovation special fund (managed by legend capital), qiming venture partners and hongtai fund. the follow-up investors include lenovo capital, xiaomi, softcom hi-tech and other strategic investors, state-owned funds such as china development bank science and technology innovation, shanghai artificial intelligence industry investment fund (managed by lingang science and technology investment), xuhui science and technology investment, as well as financial institutions such as shunwei capital, dachen capital, detong capital, shangshi capital, senruo yukun, shenwan hongyuan, and zhengjing capital. wuwen xinqiong's past investors also include strategic shareholders such as baidu, zhipu, and tongge venture capital, as well as many well-known investment institutions such as sequoia china, lisi capital, xuhui capital, northern light venture capital, zhen fund, huilong venture capital, jingwei venture capital, infinite fund see fund, jinshajiang venture capital, starlink capital, oasis capital, nanshan capital, guangyuan capital, and qixi investment.

the funds raised by wuwen xinqiong in this round of financing will be used to strengthen the recruitment of technical talents and technological research and development, maintain the technological leadership of software and hardware collaboration and diversified heterogeneity; deeply promote the commercial development of products, and maintain the close integration between infini-ai heterogeneous cloud platform products and the market; strengthen ecological cooperation, activate heterogeneous cluster computing resources, build an ai computing power base that supports "m types of models" and "n types of chips", and become the "super amplifier" of ai model computing power, and strive to become the preferred "computing power operator" in the era of big models.