The 2026 China International Big Data Expo officially opened in Guiyang on August 28. More than 16,000 registered guests and 372 domestic and foreign enterprises took part in the event. A total of 87 cutting‑edge industrial innovation achievements were released, with key discussions centering on computing‑power network construction, industry‑specific large‑model deployment, data‑factor circulation and digital security.
This year’s expo prioritises real‑world industrial implementation over conceptual demonstrations. It showcases practical application cases for computing‑power infrastructure, industry‑oriented large‑language‑models, industrial digital‑transformation and AI‑driven real‑economy empowerment. Participating enterprises presented computing‑power‑scheduling platforms, intelligent‑computing‑center solutions and data‑circulation‑trading systems. The forum explores ways to bridge gaps between computing‑power supply and industrial‑sector demand.
On the policy front, government representatives from multiple regions shared local computing‑power‑development blueprints. They propose coordinating computing‑power resources across eastern and western China, optimising computing‑power‑scheduling frameworks and cutting AI‑computing‑access costs for small‑and‑medium‑sized enterprises. Industry institutions point out that China’s AI sector is shifting from pure model‑research phases toward large‑scale real‑world‑scenario deployment. Building robust computing‑power networks serves as the fundamental prerequisite for industrial‑scale AI adoption.
In capital markets, sectors including computing‑power infrastructure, data‑factor industries and industrial‑digital‑solutions have attracted investor attention. Analysts warn that computing‑power construction requires massive capital outlay with relatively long pay‑back cycles. Investors should avoid excessive speculative trading on related themes. Market participants will closely track progress of local intelligent‑computing projects and commercial‑implementation outcomes of large‑scale models in manufacturing, government services and healthcare sectors.
