# Infinigence AI Completes 2.3 Billion Yuan Series C Funding

- Category: Flash (快讯)
- Published: 2026-10-12T11:56:00.000Z
- Source date: 2026-10-12
- HTML: https://www.88z.ai/en/news/flash-20261012-65de35e864c4c02e
- Markdown: https://www.88z.ai/en/news/flash-20261012-65de35e864c4c02e.md
- Other language: https://www.88z.ai/news/flash-20261012-65de35e864c4c02e.md

Infinigence AI announced the completion of a 2.3 billion yuan Series C funding round, bringing its total fundraising to 4.3 billion yuan, setting new records in the domestic AI infrastructure sector. Investors include state-owned capital, industrial partners, and prominent firms such as Sequoia China, Tencent, and Baidu. The company focuses on efficiency optimization between chips and models without building data centers or training models. Its platform supports 16 chip types and 37,000 PetaFLOP

## At a glance

- Completed 2.3 billion yuan Series C, totaling 4.3 billion yuan in record-breaking funding
- Focuses on chip-model efficiency, pioneering thousand-card heterogeneous hybrid training

## The update

Infinigence AI has officially announced the completion of its Series C funding round, raising 2.3 billion yuan. This brings the company's total cumulative fundraising to 4.3 billion yuan, setting new records for both single-round and total financing in the domestic AI infrastructure sector. The investment lineup includes state-owned capital, industrial partners, and well-known institutions such as Sequoia China, Tencent, and Baidu. Regarding its business model, Infinigence AI does not build its own data centers or engage in foundational model training. Instead, it focuses on optimizing efficiency between chips and models. The platform currently supports 16 different types of chips, provides 37,000 PetaFLOPS of computing power, and has pioneered heterogeneous hybrid training at the scale of thousands of cards, offering efficient underlying infrastructure support to the industry.

## Sources

- [量子位](https://mp.weixin.qq.com/s/MfLg3zHeYGdlmuuNxVaP7g) (2026-10-12)

This article is an AI-assisted synthesis by 88Z AI based on the public sources below. Product claims and availability are attributed to their publishers. It does not represent independent testing or first-hand reporting.
