In today's wave of digital transformation, computing power has become the core driving force behind enterprises' innovative development. It is not only a crucial factor in enhancing their competitiveness but also a vital cornerstone in driving business innovation, optimizing processes, and improving service quality. However, with the continuous advancement of technology and the increasing diversity of application scenarios, the computing power industry is facing the challenge of leapfrogging from 'quantity' to 'quality'. This article primarily shares insights based on the current status and challenges of computing power development, as well as reflections on the industry.

Current Status and Challenges of Computing Power Development

In recent years, China's computing power infrastructure has achieved remarkable development, with the total computing power ranking among the top globally. According to the 2024 China Computing Power Conference, China's total in-use computing power center racks exceed 8.3 million standard racks, with a total computing power of 246 EFLOPS, providing solid support for digital transformation across industries. However, amidst the rapid growth in total computing power, we must soberly recognize the significant quality challenges facing its development.

Currently, the proportion of high-performance computing power needs improvement. Despite China's vast total computing power, high-performance computing resources are relatively scarce, making it difficult to meet the demands of high-performance computing for big data, artificial intelligence, and other applications. This leaves enterprises struggling with insufficient computing power when faced with complex computing tasks, impacting business innovation and development speed.

Simultaneously, there is an imbalance in computing power supply and demand. On the one hand, some industries and enterprises have growing demands for computing power but lack effective supply. On the other hand, some computing power centers suffer from idle resources and low utilization rates. This mismatch not only wastes computing power resources but also restricts the effectiveness of enterprises' digital transformation.

Furthermore, the low level of computing power intelligence struggles to meet diverse application scenarios. With the rapid development of artificial intelligence technology, more and more application scenarios require intelligent computing power support. However, current computing power intelligence levels are relatively low, failing to meet complex and varied application demands. This underscores the need to focus not only on quantitative growth but also qualitative improvement in computing power development.

Moreover, computing power faces energy challenges, making energy conservation and carbon reduction imperative. As high-energy-consuming facilities, computing power centers' energy consumption and carbon emissions are increasingly prominent. Balancing computing power supply with energy conservation, emissions reduction, and green development poses a daunting challenge.

Strategies for High-quality Development of Computing Power

In the face of the current status and challenges of computing power development, we believe the following approaches can drive its high-quality development.

1. Optimize the Computing Power Supply Structure

Enterprises should reasonably allocate general, intelligent, and supercomputing power based on business needs, establishing a diversified computing power supply system. Through self-construction, joint construction, and sharing models, flexible scheduling and efficient utilization of computing power resources can be achieved. Strengthening cooperation with upstream and downstream enterprises in the industrial chain can jointly build a computing power ecosystem and enhance overall computing power levels.

2. Improve Computing Power Utilization Efficiency

Promote centralized management and unified scheduling of computing power resources to increase resource utilization. Employ virtualization, containerization, and other technical means to achieve elastic scaling and on-demand allocation of computing power. Through intelligent operation and maintenance and monitoring, promptly identify and resolve computing power bottlenecks, ensuring operational stability and efficiency. For instance, through an intelligent scheduling system, enterprises can monitor computing power resource usage in real-time and dynamically adjust computing power allocation based on business needs, avoiding resource idleness and waste.

3. Strengthen Computing Power Technological Innovation and Research and Development

Focus on breakthroughs in key technologies such as high-end chips, architecture design, and large model algorithms, promoting the deep integration of computing power with artificial intelligence, big data, and other technologies. Technological innovation and research and development can enhance computing power's intelligence and processing capabilities, supporting business innovation. Enterprises can collaborate with universities, research institutions, and others to jointly advance computing power technology research and application.

4. Establish a Green Computing Power Ecosystem

Advocate energy conservation and carbon reduction concepts, driving the development of computing power centers toward green and low-carbon directions. Employ advanced energy-saving technologies and equipment to optimize computing power centers' energy structures, reducing energy consumption and carbon emissions. Additionally, strengthen cooperation with international organizations and multinational enterprises to jointly formulate international standards for green computing power development, promoting sustainable development in the global computing power industry. For example, enterprises can adopt renewable energy sources like solar and wind power to supply computing power centers, reducing reliance on traditional energy sources.

Case Studies and Reflections on High-quality Development of Computing Power

In the financial sector, a major bank constructed an intelligent computing power platform, enabling real-time analysis and processing of massive financial data. The platform leverages high-performance computing technology and a distributed architecture, effectively enhancing computing power processing capabilities and intelligence. Through this platform, the bank has improved business decision-making accuracy and efficiency while reducing operational costs and risks.

In the medical field, a renowned medical institution leveraged computing power technology to build a remote medical service platform. By integrating medical and computing resources, the platform offers remote consultations, online doctor consultations, and other medical services. This not only facilitates patient access to healthcare but also enhances medical service efficiency and quality.

Future Computing Power Empowering Enterprises' Digital Transformation

As technology continually advances and application scenarios diversify, computing power will play an increasingly critical role in enterprises' digital transformation. In the future, computing power will exhibit trends of diversification, intelligence, and green development. Emerging computing technologies like quantum computing and edge computing will further expand computing power's application scenarios and boundaries. Simultaneously, as artificial intelligence technology matures and is widely applied, computing power will emerge as a significant engine driving enterprises' digital transformation.

Enterprise managers must keep pace with the times, continuously learning and innovating. By promoting high-quality computing power development, they can provide robust support and guarantees for enterprises' digital transformation. This requires staying abreast of the latest technological developments and deeply understanding business needs, integrating technology and business to achieve their Deep Fusion and innovative development.

Additionally, strengthening cooperation with international organizations and multinational enterprises can jointly drive the coordinated development of the global computing power industry. By participating in international standard formulation, technical exchanges, and cooperation, we can introduce advanced international technologies and experiences, enhancing the international competitiveness and influence of China's computing power industry.

In the intelligent and connected vehicle industry, computing power is an indispensable core element. As intelligent and connected vehicle technology evolves, the amount of data vehicles must process explodes, intensifying the demand for computing power. Therefore, enterprises should prioritize computing power's application and development in this sector, fostering its deep integration with intelligent and connected vehicles to support innovation and growth in the industry.

High-quality development of computing power is a necessary requirement for enterprises' digital transformation and a crucial cornerstone for driving innovation and development in emerging industries like the intelligent and connected vehicle industry. As innovative enterprises deeply involved, we must keep pace with the times, continuously learn and innovate, driving the leap from 'quantity' to 'quality' in computing power and contributing wisdom and strength to enterprises' digital transformation and the development of the intelligent and connected vehicle industry.