The "Report" points out that under the guidance of policies and the coordinated planning of local governments, domestic intelligent computing center construction is expected to enter a new wave of construction. Compared with previous data center constructions, this round of new infrastructure will place greater emphasis on the integration of construction and operation, compliance with energy consumption regulations, effective cost control, and security and reliability. 

Internationally, countries such as the United States, the European Union, and Singapore have elevated the development of intelligent computing centers to a strategic level, showing unprecedented rapid development in the construction of global intelligent computing centers.

It should also be noted that while the construction of intelligent computing centers is in full swing, it currently faces multiple challenges such as slow standardization processes, unrealized abstraction functions of computing resources, and a lack of powerful tools and platforms to support large model building.

The intelligent computing center operating system is specifically designed to meet the service needs of intelligent computing centers, efficiently managing and intelligently scheduling the infrastructure resource pool of intelligent computing centers. 

By keeping up with the development and upgrading trends of GPU hardware, optimizing hardware resource utilization and management, it enhances the capability and efficiency of computing power scheduling, and further achieves intelligent management and operations, providing support for the long-term sustainable development of intelligent computing centers.

——"China Intelligent Computing Center Operating System Market Research Report"

As the central nervous system of intelligent computing centers, the intelligent computing center operating system relies on six core values—heterogeneous computing power management, intelligent computing power scheduling, flexible expansion and cost-efficiency, AI optimization acceleration, computing power quota management, and intelligent model and data management. These core values efficiently address the complex challenges of implementing intelligent computing centers, laying a solid foundation for the stable operation and efficient business functionality of intelligent computing centers, and truly realizing "software-defined computing power."

Frost & Sullivan further points out that relying on the precise segmentation and efficient management capabilities of the intelligent operating system for GPU computing power resource pools, the computing power leasing business model is undergoing unprecedented transformation opportunities. 

DataCanvas's innovative computing power pack product, based on the intelligent operating system, provides users with unparalleled flexibility. For the first time, it proposes using "degrees" as a unit of measurement, allowing users to flexibly configure and adjust computing resources according to actual needs. This "on-demand purchase, use immediately upon purchase" model effectively "fills the gap in traditional business models in the computing power market, bringing innovative solutions to the industry."

The "Report" believes that the intelligent computing center operating system market is currently in a highly prosperous state. Leveraging deep insights from multiple perspectives such as technology, market, resources, and ecology, Frost & Sullivan uses four dimensions—product strength, operational strength, collaborative strength, and ecological strength—to establish a comprehensive service value analysis model, further detailed into 11 primary indicators and 19 secondary indicators. 

This aims to systematically analyze the comprehensive value performance of domestic intelligent computing center operating system vendors, empowering the computing power market to develop more autonomously and maturely.

As a provider of AI infrastructure, DataCanvas, with its core advantages of low-threshold and high-efficiency AI operations, significantly improved computing power efficiency and utilization, meeting multi-level computing power needs, integrated AI services, and native suitability for high-performance intelligent computing, has been selected as a leading representative vendor of intelligent computing center operating systems.

It demonstrates the best performance in multiple key primary indicators such as technology and performance, economic efficiency, underlying resource scheduling capabilities, software and hardware coordination capabilities, and ecological openness!

Looking forward, DataCanvas will continue to leverage its leading technological advantages and cutting-edge practical experience in the field of intelligent computing software to provide governments and enterprises with more flexible, efficient, and high-level integrated "algorithm + computing power" AI services.

This will help governments and enterprises navigate the waves of digital transformation with success.