---
title: "Ministry of Industry and Information Technology: China's intelligent computing power scale has reached 748 EFLOPS"
type: "News"
locale: "en"
url: "https://longbridge.com/en/news/249102889.md"
description: "At the press conference of the State Council Information Office, Xie Cun, Director of the Department of Information and Communication Development of the Ministry of Industry and Information Technology, introduced that in the first half of the year, the total volume of telecommunications services in China increased by 9.3% year-on-year, with cumulative telecommunications service revenue reaching 905.5 billion yuan. The overall information and communication industry maintained a stable operating trend. As of the end of March, the number of operational computing power standard racks in China reached 10.43 million, and the scale of intelligent computing power reached 748 EFLOPS, providing an intelligent foundation for vast data computing"
datetime: "2025-07-18T08:32:01.000Z"
locales:
  - [zh-CN](https://longbridge.com/zh-CN/news/249102889.md)
  - [en](https://longbridge.com/en/news/249102889.md)
  - [zh-HK](https://longbridge.com/zh-HK/news/249102889.md)
generator: "portal-rs"
---

# Ministry of Industry and Information Technology: China's intelligent computing power scale has reached 748 EFLOPS

At the press conference of the State Council Information Office, Xie Cun, Director of the Department of Information and Communication Development of the Ministry of Industry and Information Technology, introduced that in the first half of the year, the total volume of telecommunications services in China increased by 9.3% year-on-year, with cumulative telecommunications service revenue reaching 905.5 billion yuan. The information and communication industry overall maintained a stable operating situation. As of the end of March, the number of operational computing power standard racks in China reached 10.43 million, and the scale of intelligent computing power reached 748 EFLOPS, providing an intelligent foundation for massive data computing

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> **Disclaimer: This article is for reference only and does not constitute any investment advice.**