HK Stock Market Move | Guangdong-Hong Kong Bay Intelligent Computing (01396) rose over 12% AI industry is developing rapidly, and the prosperity of the Intelligent Computing Center is clearly on the rise.

date
13:52 02/06/2026
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GMT Eight
Yuexiao Bay Intelligence (01396) surged more than 12%, as of the latest report, up 11.14%, at 14.66 Hong Kong dollars, with a turnover of 96.917 million Hong Kong dollars.
Guangdong-Hong Kong Bay Intelligence (01396) rose more than 12%, as of the press release, the increase was 11.14%, closing at 14.66 Hong Kong dollars, with a transaction amount of 96.917 million Hong Kong dollars. On the news front, currently, the AI industry is experiencing rapid development, and the Intelligence Center as the core infrastructure of the digital economy is experiencing a continuous surge in demand. According to the "China Intelligence Center Industry Development White Paper (2024)", the compound annual growth rate of the Chinese intelligence center market is expected to reach 26.8% from 2023 to 2028. Guoyuan International pointed out that with the continuous acceleration of large-scale model training and commercialization of AI applications, there is a long-term shortage of industry computing power. Therefore, the essential attributes of the Intelligence Center continue to strengthen, the growth logic of the track is clear, the prosperity is rising, and it has a long-term value for layout. According to data, the company completed the acquisition of Tian Dun Data in 2025 to complete business restructuring. Currently, Tian Dun Data is one of the top operators in China's intelligence construction, one of the earliest companies in China to layout national standard A-level third-party data centers, and can provide "green intelligence" full life cycle services. At the same time, as one of the few companies that can build a million-core cluster data center, Tian Dun Data focuses precisely on artificial intelligence model training and inference core scenarios. It can directly meet the high-end computing power needs of trillion-parameter large-scale model training, large-scale AI inference, and fill the gap in the market's supply of top AI computing power services. It focuses precisely on artificial intelligence model training and inference scenarios and occupies the core links of the AI industry chain.