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wuwen xinqiong raised nearly 1 billion yuan to become the chief "computing power operator" in the era of large models

2024-09-02

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on september 2, 2024, infinigence ai, an innovative company in the field of ai, announced the successful completion of a nearly rmb 500 million series a financing. so far, the company, which was established only one year and four months ago, has raised nearly rmb 1 billion in total.

this round of financing was jointly led by the social security fund zhongguancun independent innovation special fund (managed by legend capital), qiming venture partners and hongtai fund, followed by strategic investors such as lenovo capital, xiaomi, and softcom, as well as 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), and 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. past investors of wuwen xinqiong 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.

funding helps technology and commercialization advance simultaneously

the funds raised in this round of financing will be mainly used in three aspects: strengthening the recruitment of technical talents and technological research and development, maintaining the technological leadership of software and hardware collaboration and diversified heterogeneity; deepening the commercialization of products, ensuring that the infini-ai heterogeneous cloud platform products are closely integrated with the market; strengthening ecological cooperation, activating heterogeneous cluster computing resources, and building an ai computing power base that supports "m types of models" and "n types of chips", becoming a "super amplifier" of ai model computing power, and striving to become the preferred "computing power operator" in the era of big models.