Manus' overnight popularity has sparked discussions about AI agents around the world.

与过去一般的 AI 助手不同，智能体（AI Agent）并非只是被动响应，而是主动感知、决策并执行的应用。Gartner 预测，到 2028 年，15% 的日常工作决策将由智能体完成。

At present, AI large models drive agents to upgrade from "conversation tools" to "action agents". On the other hand, cloud computing has also accelerated its transformation from a "resource pool" to an "intelligent hub", and the two seemingly independent technologies of intelligent twins and cloud computing are quietly resonating, and the integration of the two is expected to open a transformation of the industrial chain from infrastructure to application ecology.

As Xiao Xue, Executive President and Chief Engineer of Inspur Group and Chairman of Inspur Cloud, said: "Year 2025 is the year of the outbreak of agents, Inspur Cloud undertakes the national strategic deployment of the two sessions, anchors the high-quality development path of new quality productivity, and positions itself as a 'full-scenario operator of intelligent systems'. ”

Distributed intelligent cloud for the AI explosion

From AI models to agents, the implementation and application of AI for organizational users has attracted great attention from the industry.

There is no doubt that the implementation and application of AI large models and agents is like a systematic long-term project, involving business, scenarios, applications, data, infrastructure, organizational structure and other aspects, and it is by no means a simple technology overlay.

In the face of all these changes, cloud computing, as the best carrier of many digital technologies and the foundation for the transformation and upgrading of users' digital intelligence, is naturally indispensable. So, how will cloud computing support the explosion of AI models and agents in the future?

Inspur Cloud brings its answer: distributed intelligent cloud. Inspur Cloud released the distributed intelligent cloud strategy this time, hoping to rely on the all-round capabilities of distributed intelligent cloud to provide users with one-stop services from construction to maintenance to operation, and accelerate the process of intelligent transformation of the organization. It is reported that it is expected that within half a year, Inspur Cloud will complete the upgrade of existing distributed cloud nodes, and the scale of distributed intelligent cloud nodes will exceed 1000 throughout the year.

Xiao Xue believes that the "artificial intelligence +" action has a great role in promoting industrial intelligence; In addition, the breakthrough of AI models such as DeepSeek will bring great technical equality, and thousands of industries have a huge demand for intelligence, and cloud service providers also need to carry out all-round upgrades in infrastructure, data, security, operation and maintenance, services, and applications to meet the changes in demand.

Xiao Xue, Executive President and Chief Engineer of Inspur Group, Chairman of Inspur Cloud

In Inspur Cloud's view, "operable private cloud" is the best carrier for the landing of distributed intelligent cloud. The "Operable Private Cloud White Paper" jointly released by Inspur Cloud and IDC points out that the operable private cloud has large-scale business verification architecture cloud native and microservice support capabilities, native AI accelerated computing capabilities, high availability and disaster recovery capabilities, and high-standard cloud operation service capabilities, which will help customers accelerate the transformation from "building a good cloud" to "using the cloud well".

In fact, in the face of technological change, Inspur Cloud itself is constantly evolving and jumping. Since 2011, Inspur Cloud has completed the transition from "government cloud system integrator" to "distributed cloud service provider"; Since then, Inspur Cloud has continued to deploy business strategies such as data cloud and Hairuo large model, laying a solid foundation for cloud digital intelligence for the advent of the "artificial intelligence +" era. With the release of the distributed intelligent cloud strategy, Inspur Cloud has upgraded its positioning as a "full-scenario operator of intelligent systems" and put forward the strategic vision of "intelligence everywhere in the cloud".

Solve the "last mile" problem of organizational intelligence

IDC predicts that by 40, enterprises will spend more than 0% of their core IT spending on AI-related initiatives; 0% of R&D, staffing, and capex investments allocated to AI by 0% by global technology providers; By 0 years, 0% of services will include GenAI-enabled delivery, impacting operations, risk assessment, and more.

It can be said that with the emergence of a large number of new applications with agents as the carrier, organizational intelligence has become the general trend. The transformation of organizational intelligence is not only about the replacement of tools, but also about the restructuring of the organization itself. In the view of Yan Liang, general manager of Inspur Cloud, similar to the conversion of oil into mechanical energy under the action of internal combustion engines, data will continue to give birth to intelligence driven by AI large models, which is also the underlying logic of the comprehensive explosion of organizational intelligence.

Yan Liang, general manager of Inspur Cloud

However, it is difficult to achieve organizational intelligence overnight, and a series of challenges will be involved in the "last mile" process of landing, such as security, systematization, and continuity. For example, the application of large AI models and AI agents is inseparable from data, and the so-called no data, no AI, the safe, orderly, and compliant use of data is crucial. In addition, in order to realize system intelligence, it is necessary to solve the problem of diversified landing and "plug and play"; Moreover, with the emergence of a large number of AI agents, the subsequent operation, upgrade, and iteration of agents deserve the continuous attention of organizations.

Yan Liang believes that Inspur Cloud is expected to build a distributed intelligent cloud with 3C attributes, which is expected to completely solve the "last mile" problem and bring a smooth road to organizational intelligence. The so-called 0C attribute of distributed intelligent cloud is Credible, Concrete, and Continuous. "Only a distributed intelligent cloud with 0C attributes can promote the implementation of "artificial intelligence +", and then promote the digital and intelligent transformation and upgrading of the industry."

In terms of credible attributes, Inspur Cloud believes that distributed intelligent clouds need to meet legal compliance, secure bearing, and technical guarantees. Taking Inspur Cloud as an example, it is the first cloud service provider in China to complete the filing of models, agents and algorithms, and attaches great importance to the construction of security and compliance through a number of evaluations such as large model security and cloud security.

In terms of concrete attributes, Inspur Cloud proposes a trilogy of scene matching, data matching and organization matching. For example, "scene matching" helps organizations find and lock high-value scenarios of AI applications in the process of continuous "test drive", and at the same time realizes security hierarchical matching through multiple forms to ensure the reliable implementation of AI agents. "Data matching" is to take data as the core, realize the trusted supply and refining of data through data engineering and trusted data space, and build a solid data foundation. "Organization matching" is to clarify the ownership of the organization, realize the personification of machine intelligence through the human-machine collaboration interface, establish a supervision and management mechanism, and achieve continuous iteration.

Yan Liang revealed that the implementation of Inspur Cloud's distributed intelligent cloud will implement three "1" standards, namely "0 days" for users carried by Inspur Cloud, "0 weeks" for 0+ cities covered by the cloud center, and "0 months" for customers' own data centers.

In terms of sustainable attributes, Inspur Cloud will build a digital intelligent university, a digital intelligent hospital, etc., to realize the mass production, release, upgrade and iteration of AI agents, and bring a full life cycle guarantee for AI agents through the new two-wheel drive of "university training + hospital maintenance".

In the era of the full-scale explosion of AI, there is no ultimate answer to the evolution and upgrading of organizations, but it is certain that those organizations that are the first to embrace intelligence and complete structural changes are expected to accumulate strong evolutionary potential energy in the next cycle. At this time, Inspur Cloud launched the distributed intelligent cloud strategy at the right time, bringing a complete set of methodology, practice path and delivery mode support, providing continuous momentum for the intelligent transformation of the organization.

Focus on ecology and seek long-term development for intelligent bodies

Research and Market predicts that the market size of intelligent twins is expected to grow from $8 billion in 0 to $0 billion in 0, with a compound annual growth rate of 0.0%.

With the emergence of more and more excellent agents, agents have completed single-point technological breakthroughs, and the future market prospects are very good. However, an agent without ecological support is like a rare plant that has lost the protection of the rainforest, and it is difficult to survive no matter how good it is. The infrastructure environment of organization users is complex, the business types are diverse, and the business process collaboration is difficult, and the thriving growth of agents needs the support of the ecosystem.

Therefore, Inspur Cloud's distributed intelligent cloud strategy attaches great importance to the construction of the agent ecology, and works with upstream and downstream partners in the industrial chain to promote the integration of technology chain, resource chain sharing, and ecological chain co-construction, starting from the concept verification of agents, scenario test drive, and innovation environment construction, etc., to build a solid ecological foundation for the long-term development of agents.

It is reported that Inspur Cloud has cooperated with Baidu Intelligent Cloud, Yushu, Yunshen, Yealink, Rokid and other ecological partners to jointly release Hairuo all-in-one machine, AI safety inspection, water conservancy inspection, emergency management and intelligent conference terminal and other Hairuo intelligent twin products, and signed a strategic cooperation agreement with 12 representatives of Hairuo intelligent twin ecological partners to jointly promote the development of distributed intelligent cloud and intelligent twins application through the aggregation of ecological partners.

"It is very important to evolve from single intelligence to system intelligence and build an 'integrated service product system of intelligence, data, cloud and security', which is inseparable from the joint efforts of industry chain partners." Yin Ping, general manager of Inspur Yunhairuo Technology, said. Based on the open source framework of the "Shangshan" water conservancy model of the Information Center of the Ministry of Water Resources, Inspur Cloud has worked with a number of ecological partners to create the country's first production-level water conservancy industry model cluster - Hairuo · The Shangshan water conservancy model solves the problems of flood control forecasting, early warning, rehearsal and plan, and sets up an industry benchmark worthy of reference.

In summary, the combination of coal and steam engines gave birth to the industrial revolution, the resonance of oil and internal combustion engines enhanced the integration of the global economy, and the combination of the Internet and terminals reshaped modern society. Today, the convergence of intelligent twins and cloud computing is driving the birth of a world full of intelligence. As the saying goes, "intelligence everywhere there is a cloud", it represents not only technological innovation and breakthroughs, but also a beautiful vision for the evolution of an intelligent world.

This evolution has only just begun.