China’s Qujing Secures $195 Mn Series B to Expand AI Inference Infrastructure

attracted several investors, including Zhejiang Finance Capital, Xiaoshan Capital, ICBC Investment, Zhongguancun Science City, Xinglian Capital, and Qianjiang Century City.

Investors Join the Funding Round

Other investors participating in the round included Yunchuang Capital, Hunan Hi-Tech Zongheng, CCB Huake, Shenwan Innovation Investment, CITIC Juxin, SenseTime, and Wangsu Science & Technology.

Existing investor Shangshi Capital also increased its investment in the company.

The funding reflects continued investor interest in companies developing infrastructure that helps businesses run artificial intelligence models efficiently.

Funding to Support AI Inference Demand

Qujing has experienced a rapid fundraising period in 2026. The company completed a Pre-A funding round in May, followed by a Series A round in July. According to the supplied report, these rounds brought its total fundraising for the year to approximately $330 million.

The company operates in the AI inference sector, which focuses on the computing resources needed to run trained AI models and generate responses to user requests.

Its customers include large-model developers Zhipu and Moonshot AI. As businesses increasingly adopt AI-powered applications, infrastructure providers are working to meet the growing demand for computing capacity.

AI Inference Infrastructure Attracts More Investment

Qujing's funding comes amid increased investment in China's AI inference market.

SiliconFlow raised more than $275 million in June 2026, while Infinigence secured $316.3 million in October, according to the supplied report.

These investments highlight growing interest in the infrastructure required to deploy AI models at scale. While training large AI models requires substantial computing resources, inference infrastructure supports their ongoing use by businesses and end users.

Business Performance Remains Unclear

Despite its fundraising momentum, Qujing has not disclosed revenue, profitability, or detailed costs per inference in the supplied report. These figures would help assess the company's financial performance and the sustainability of its business model.

The latest funding provides capital for the company's growth, but its long-term performance will depend on factors such as customer demand, operating costs, infrastructure efficiency, and its ability to generate sustainable revenue.

About Beijing Qujing Technology

Beijing Qujing Technology is a Chinese technology company that develops AI inference infrastructure under the Approaching.AI brand. The company serves developers of large AI models, including Zhipu and Moonshot AI.

Its business focuses on the computing infrastructure needed to run AI models and support their use in real-world applications.

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