Artificial intelligence (AI) is transitioning from the training stage to the inference and execution stage, with Chinese and foreign technology companies accelerating the layout of AI factories and enterprise intelligent agents, jointly promoting AI development from both infrastructure and application, cost and productivity perspectives. Recently, Nvidia announced a partnership with industrial software company AVEVA Jianwei Software to integrate AVEVA's engineering design and operational optimization software into an AI factory called Omniverse DSX Blueprint. It is reported that this cooperation is regarded as a strong alliance by the industry, which will help maximize GPU productivity and energy efficiency through computing architecture optimization. NVIDIA will rely on the full range of AVEVA Jianwei software products, including the CONNECT industrial intelligence platform and industrial digital twin capabilities, to maximize GPU utilization efficiency and accelerate AI factory deployment through specific domain simulation, digital visualization, and collaborative design tools. It is expected to shorten the "time to token" cycle of AI factories (from construction to output of computing power results). AVEVA's Chief Product Officer, Mike Grivy, stated that AI factories are rapidly becoming industrial grade engines of the global digital economy. To drive this transformation process, both parties will jointly create a new deployment method for digital twins, building new digital twins in a scalable manner, and creating a future oriented intelligent industrial system through design, construction, and AI optimization. Troy, Vice President of AI Infrastructure at NVIDIA, said, "With the rapid rise of gigawatt level AI factories, the industry needs a new type of industrial intelligence to optimize the entire lifecycle of large-scale data centers from initial design to real-time operation. Through this collaboration, we are providing developers with a unified digital twin architecture to accelerate the deployment of AI infrastructure and improve its efficiency. ”AI factories can significantly reduce the operating costs of AI, while large-scale AI factories and data centers require high energy supply. In addition to Nvidia, technology giants are investing heavily in the energy industry to support the operation of large data centers. Amazon has reached a long-term agreement with Taren Energy to obtain 1920 megawatts of power supply from Taren Energy's Susquehanna nuclear power plant for use in Amazon Web Services' data centers; Both parties are still considering collaborating to build small modular reactors and expand the capacity of nuclear power plants. Google also announced the restart of a nuclear power plant located in Iowa, USA, to power its AI infrastructure. In Europe, according to a data center expansion strategy plan released by the German government this month, the computing power of German general data centers will at least double by 2030 compared to 2025. At the industrial application level, Chinese technology companies are also accelerating their layout and are expected to achieve a paradigm breakthrough in enterprise level intelligent agent application and empowerment on a global scale. Li Kaifu, CEO of Zero One Thing and Chairman of Innovation Works, stated that artificial intelligence has surpassed the simple stage of technological exploration and officially entered a new stage of deep application and comprehensive development in the industry. He said that landing these world-class AI solutions in China is precisely to accompany Chinese enterprises to enter the world with technological leadership and independent controllability, so that traditional industries in China that are undergoing digital transformation and upgrading can truly embrace this round of "smart economy dividends". Li Kaifu stated that 2026 will be the first year of "enterprise multi-agent deployment". AI is evolving from an auxiliary role of "one person, one tool" to an organizational core of "one person, one team". Li Kaifu believes that the real industrial transformation is not about purchasing a standardized set of AI software, but rather an "organizational change" that must be driven from top to bottom. That's why Zero One Thing always insists that the AI digital transformation of enterprises must be a 'top project', and managers need to think and practice 'how to use AI to reconstruct business'. ”He also pointed out that China has the world's most complete industrial categories and a super large market, and every production workshop and every supply chain process is an excellent laboratory for the evolution of multi-agent systems. When China's profound industrial heritage is deeply coupled with various intelligent agent technologies, China will steadily evolve from a "world factory" to an intelligent driven "global intelligent agent factory". Kingdee International, which has fully deployed its AI business, recently stated that only by processing massive and effective data that is tailored to specific business scenarios, can the value of enterprise level AI intelligent agents and related applications be fully realized. Kingdee International executives stated that the company has served over 7.4 million enterprises for more than 30 years and has a deep understanding of the business logic in complex scenarios such as finance, supply chain, manufacturing, and research and development. The development of enterprise level AI applications relies on a deep understanding of real scenarios, and Kingdee's intelligent agents are closer to the real needs of customers. ”However, for the software service industry in which Kingdee operates, AI applications may replace old business models, putting related service companies at risk of declining performance, and the industry generally sees accelerating the adoption of AI intelligent agent services as a breakthrough direction. Xu Shaochun, Chairman and CEO of Kingdee International, said, "The AI era is accelerating, and we feel both crisis and excitement. ”According to him, since the end of last year, the AI software development system and software engineering methods have become increasingly mature, and the development framework and infrastructure related to large models have also been gradually improved, providing technical support for the development of intelligent agents. Based on years of accumulated understanding of software application customer business logic and processes, Kingdee is able to develop intelligent agent products faster. (New Society)