Gelonghui, September 29th | According to CCTV Finance, computational infrastructure has become a hot topic recently, with many local governments making forward-looking layouts. Jilin has set a goal of reaching an estimated intelligent computational capacity of over 5,000 PFLOPS by the end of 2027, emphasizing a moderately forward-looking and scientific distribution of the province’s intelligent computational resources — essentially staying ahead and reserving space for future growth. Hubei has proposed achieving a total computational capacity of 25 EFLOPS by 2027, with newly constructed computational facilities having a ratio of intelligent computing and supercomputing of no less than 90%. China has now achieved full connectivity of computational identification systems across all 31 provinces, autonomous regions, and municipalities, with the official launch of 52 national “data express” lines. Major commercial players are also stepping up their efforts: Alibaba announced a three-year AI infrastructure plan worth 380 billion yuan and will increase investment further, while Huawei unveiled its ultra-node computational power solution and broke through computational bottlenecks with a million-card cluster. Behind this bustling scene, what exactly are all parties competing for? On one hand, it is driven by the massive demand brought about by the current artificial intelligence technology revolution, pushing for forward-looking deployment of computational infrastructure. Estimates suggest that the computational demand for large model training doubles every 3-4 months. On the other hand, computational power is becoming a key driver of economic development as an important productive force. High-quality computational infrastructure can attract more artificial intelligence-related enterprises to settle in, forming industrial clusters, and ultimately transforming into new drivers of economic growth. Previous research by institutions estimated that every 1 yuan invested in the computational industry could generate a comprehensive GDP growth of 3 to 4 yuan.