Guiyang-Gui'an: A Strong Backer for AI Large Model Training Bases

Tech 2024-08-13 15:29:21 Source: Network

Guiyang-Gui'an: A Strong Backer for AI Large Model Training Bases

Guiyang-Gui'an: A Strong Backer for AI Large Model Training Bases

Guiyang-Gui

As the host city of the China International Big Data Industry Expo, Guiyang-Gui'an is the core area of the national big data industry aggregation zone and the digital economy development innovation zone. Relying on the "East Data West Calculation" strategy, Guiyang-Gui'an is actively leveraging its advantages in data center clusters, computing power scale, data openness, and application scenarios to vigorously build an AI large model training base.

So, what support does Guiyang-Gui'an provide for large model training?

Firstly, powerful computing power resources are the foundation. Guiyang-Gui'an has abundant electricity resources and a superior natural environment, which provide favorable conditions for building large-scale data centers. Currently, Guiyang-Gui'an has built several large-scale data centers, with computing power ranking among the top in the country, providing ample computing power support for large model training.

Secondly, open data resources are key. Guiyang-Gui'an attaches great importance to data openness and sharing, actively promoting the integration and utilization of data resources. Abundant industry data, government data, and social data provide massive data support for large model training.

Finally, rich application scenarios are the guarantee. Guiyang-Gui'an actively builds smart city, smart agriculture, smart healthcare, and other application scenarios, providing real and effective application environments for large model training, accelerating the landing and application of large models.

In conclusion, Guiyang-Gui'an has abundant computing power resources, open data resources, and rich application scenarios, providing solid support for AI large model training. It is believed that Guiyang-Gui'an will become an ideal place for AI large model training in the future, contributing to the development of the AI industry.

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