The development of diverse data-centric large deep learning models has accelerated the digitization and intelligent upgrading process across various industries, driving profound transformations in intelligent technologies.

Wang Hongtian, vice-general manager of Inspur, stated that large models, as the core of the intelligent industry, will empower the release of data value elements and accelerate the formation of new quality productivity.

This year marks the beginning of the industry large model, with the construction of data-oriented infrastructure serving as the prerequisite for industry implementation.

Inspur has completed the deployment of its Hairuo large model in over 60 cities by creating a new foundation centered around data elements and large models, and has developed over 300 industry scenarios by studying over 3,000 industry datasets.

Currently, the generative intelligence market driven by large deep learning models is flourishing. Sun Siqing, chief technology officer of Inspur, believes that computing power infrastructure, industry datasets, model algorithms, trustworthy services and continuable operations serve as the key elements for industry intelligence.