JIC Leasing recently purchased 50 high-performance servers for a computing power service enterprise through direct equipment leasing. In this way, it has been able to provide large-scale intelligent government customer service training software resources and supporting services to telecoms carriers. This move was made to support the development of the computing economy.

Computing power is the core productivity of large AI model training, and is an important part of the industry’s new, high quality productivity. With the rapid development of large AI models, the demand for intelligent power computing is undergoing an explosive growth period. According to data taken from the "2023-2024 China Artificial Intelligence Computing Power Development Evaluation Report", it is expected that by 2027, China's intelligent computing power size will exceed 1117EFLOPS (quintillion floating point operations per second), while the compound annual growth rate of China's intelligent computing power size will be as high as 33.9%. AI-powered global computing power is expected to grow 500 times by 2030.

In response to this situation, China has repeatedly issued policies to support the development of artificial intelligence and computing power infrastructure, requiring scientific data to support the development of large models. This has supported the training of large general artificial intelligence models and vertical field artificial intelligence models.

Despite sizable market demand, the supply situation is currently tight. The demand for the high-performance chips behind supercomputing clusters required for large models has increased dramatically, and the imbalance between supply and demand has led to a sharp rise in the price of graphics cards and a significant lengthening of the delivery cycle. At the same time, the computing power gap in the Chinese domestic market has further increased under the threat of progressively tougher U.S. restrictions on China's high-tech industry.

JIC Leasing implements all requirements for promoting the development of new, high quality productivity, increasing support for the IT industry, providing flexible solutions based on market and customer needs, and assisting the development of the computing economy.