Zhou Hongyi on DeepSeek Open-Sourcing DeepInfer: In the AI Era, Enterprises Must Have Their Own "Sovereign AI"

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Sina Tech news October 23 afternoon message, recently, DeepSeek announced it will fully open source its internally used AI inference framework DeepInfer, becoming another landmark move in the open source community. 360 Group founder Zhou Hongyi said of this that behind it "is a kind of technological confidence, and even more a philosophy of open source inclusiveness"; looking deeper, this matter has an even more important significance—technological sovereignty in the AI era. He also revealed that 360 has built a sovereign AI operating system, which has been put into use in some government and enterprise units.

It is understood that DeepInfer, by optimizing scheduling, lets the CPU and graphics card work simultaneously, reducing waiting and repeated computation, allowing the same machine to handle more tasks. In Zhou Hongyi's view, the value of such open source achievements goes beyond the technology itself: as open source models and inference technology continue to mature, enterprises do not have to train large models from scratch, and also have the opportunity to deploy AI on their own servers, build intelligent agents that truly understand their own business, and keep competitiveness in their own hands.

Zhou Hongyi further pointed out that in the agent era, AI sovereignty is especially important for enterprises. Currently many enterprises use AI that is "rented"—models, computing power and platforms are all in others' hands, like building on a faucet controlled by others: when the other party raises prices you can only accept it, and when service is adjusted, business may stall along with it. More critically, after AI starts working for enterprises, who owns the data, knowledge and experience accumulated by agents every day directly determines the boundary of an enterprise's core assets. "The stronger AI is, the more enterprises are constrained by others—this absolutely cannot stand." In his view, sovereign AI must resolve who controls models, computing power and data, and who owns knowledge and experience.

It is understood that the sovereign AI operating system 360 has built covers capabilities including computing resource and scheduling, sovereign large models, enterprise AI knowledge base, agent factory, Agent Teams (human-machine collaboration platform) and security governance, supporting enterprises to independently choose models, schedule computing power, and conduct post-training combined with their own data. Data stays within the enterprise's own network, and the knowledge, skills, experience and task execution records accumulated during use belong to the enterprise. Targeting the potential risk of agents operating beyond authority, the system builds security capabilities in, controlling and auditing agents' permissions, tool calls and execution processes, with key operations checked by humans, and ultimate control kept in the enterprise's hands. news_keyword_pub,stock, iframe below main text iframe below main text General statement General statement QR code at end start QR code at end start

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