The burgeoning development of large-scale models and intelligent agents has triggered an exponential surge in the demand for computational power, rendering the AI infrastructure sector a prime target for capital investment. Wuwenxinqiong, an AI-native infrastructure enterprise with a strong connection to Tsinghua University, has recently declared the successful completion of its C-round financing, amassing a total of 2.3 billion yuan. This milestone brings its cumulative financing to an impressive 4.3 billion yuan, setting unprecedented records for both single-round and cumulative financing within China's AI-native infrastructure landscape. The investor roster is remarkable, featuring a blend of state-owned capital, industrial capital, and market-oriented financial investment entities.

Established in 2023, Wuwenxinqiong has strategically positioned itself with a 'front-end store, back-end factory, and one central hub' layout, capitalizing on its technological prowess to comprehensively span the entire spectrum from foundational computational power optimization to AI application deployment. In response to the soaring demand for computational power on the inference front, the company has proactively rolled out Agentic Infra, distilling AI productivity into three pivotal variables and structuring its business operations accordingly. Presently, its autonomous infrastructure platform boasts a deployment of 37,000P of computational power, is compatible with 16 mainstream chip types, and facilitates ultra-large-scale task processing for up to 100,000 cards. The large model service platform has witnessed a staggering 40-fold increase in daily Token calls, while the Token Factory has slashed inference costs by a factor of 10, with the promise of further reductions on the horizon. Moreover, the company has constructed an infrastructure intelligent agent swarm to achieve multi-faceted, all-encompassing optimization.

Wuwenxinqiong has forged partnerships with several leading large model enterprises to co-launch industry solutions across a multitude of domains, showcasing its robust commercialization prowess.