2025 China Computing Conference Kicks Off in Datong, OmniYQ Empowers AI Industry with High-Efficiency Computing Power

The wave of artificial intelligence is sweeping across the globe, and computing power, as a core element of new quality productive forces, is reshaping the development landscape of various industries. The 2025 China Computing Conference revealed the latest advancements and future trends in China's computing power industry.

On August 23, the 2025 China Computing Conference, themed "Computing Network as the Foundation, Intelligence Guides the Future," officially commenced in Datong City, Shanxi Province. The conference was jointly hosted by the Ministry of Industry and Information Technology and the People's Government of Shanxi Province, bringing together numerous representatives from the government, business community, and academia to discuss the development trends and cutting-edge technologies of the computing power industry.

At the conference, Vice Minister of Industry and Information Technology Xiong Jijun pointed out that China's computing power industry is entering a new phase of high-quality and large-scale development. As of the end of June 2025, the scale of China's computing power infrastructure continues to expand, with standard racks in operational data centers reaching 10.85 million, and the scale of intelligent computing power reaching 788 EFLOPS.

01 China's Computing Power Scale: Significant Achievements in Infrastructure

The conference disclosed a series of encouraging data. In addition to 10.85 million standard racks and 788 EFLOPS of intelligent computing power, China has also significantly increased the number of 400G backbone network ports to 14,060.

Total storage capacity has exceeded 1,680 EB, and the average power usage effectiveness (PUE) of data centers nationwide has dropped to 1.42. These figures indicate that China's computing power industry is transitioning from scale expansion to quality and efficiency improvement, with clear progress in green and low-carbon development.

The comprehensive computing power index rankings of provincial-level administrative regions were also released, with Hebei, Jiangsu, Guangdong, Zhejiang, and Beijing taking the top five spots. The comprehensive computing power index evaluates the computing power development levels of various regions from five dimensions: computing power, storage capacity, network capacity, model power, and environment.

02 Conference Structure: Comprehensive Display of Computing Power Achievements

The 2025 China Computing Conference was organized according to an overall structure of "1+2+X+Y," including one opening ceremony, two main forums, X sub-forums, and Y featured events.

The conference simultaneously featured an "Innovative Achievements of Computing Power in China" exhibition, showcasing the latest advancements in policy systems, core hardware, infrastructure, key technologies, and service capabilities in the computing power field. Featured events included "Starlight Night" and "Dialogue with the Future."

Sixteen sub-forums and featured events covered various areas such as energy intelligence computing, computing power + healthcare, cloud storage intelligence computing, AI + industrial integration, and automatic identification and data acquisition. These forums delved into how to advance the construction of computing power infrastructure, aggregate the empowering role of computing power, and activate its leading capabilities.

03 Technological Innovation: Breakthroughs in Reconfigurable Computing Chips

In the conference's innovation achievements exhibition zone, the reconfigurable computing chip technology brought by Tsingmicro attracted significant attention. Dubbed the "Transformers" of chips, this technology can adjust circuit structures and computational logic in real time based on different tasks such as AI training and data processing.

Yu Chuan, Chief Operating Officer of Tsingmicro, stated that this architecture can achieve the computational performance of high-end chips using mature manufacturing processes and replace expensive HBM with more cost-effective DDR memory, directly reducing hardware costs by 50%.

Through computing power grid technology that enables direct chip-to-chip connections, a single machine can easily support full-version inference of mainstream large models like DeepSeek. This provides a new technological path for domestic computing power to achieve "overtaking on a new track."

04 Computing Power Empowerment: Deepening Industry Applications

In terms of deepening the empowerment of computing power in industry applications, the Ministry of Industry and Information Technology will launch special actions for computing power empowerment targeting key industries such as education, healthcare, and energy.

It will promote the construction of an "intelligent computing ecosystem," promote a batch of iconic technological products and solutions, implement the "millisecond computing" special action in urban areas, and accelerate the construction of the China Computing Platform.

Hao Liqian, Vice President of China Unicom, introduced at the forum that the company has built a group-level "Digital Intelligence Product Supermarket," collaborating with over 100 top industry partners to jointly launch more than 500 applications covering over 30 vertical industries.

Edge computing power is an important component of the integrated computing power system. Liu Guofeng, Vice President of China Tower, stated that, based on resource and capability advantages, China Tower is focusing on promoting the transformation of "communication rooms into data rooms" to build a digital intelligence foundation for edge computing power.

05 Computing Power Leasing: Efficient Utilization of Cloud Resources

With the rapid development of AI large models, the demand for computing power has experienced explosive growth. According to IDC predictions, by 2025, the scale of China's intelligent computing power will exceed 1,000 EFLOPS.

The ongoing shortage of high-end chip supply and the high cost of computing power are increasingly becoming key bottlenecks restricting the development of the global AI industry. In this context, GPU computing power server rental services have become an ideal solution.

GPU computing power server leasing refers to a service model where users rent server resources equipped with high-performance GPUs (Graphics Processing Units) through cloud computing service providers, paying fees based on actual usage or time cycles, thereby gaining immediate access to parallel computing capabilities.

This model allows users to flexibly call large-scale computing resources without purchasing physical hardware or bearing operational maintenance costs. It is suitable for high-density computing scenarios such as artificial intelligence training and inference, scientific computing, and graphics rendering.

06 OmniYQ: A Leading GPU Computing Power Leasing Service Provider

In this rapidly developing computing power leasing market, OmniYQ (Shenzhen Cloud Engine Technology Co., Ltd.) has become an important player in the industry with its cost-effective GPU computing power leasing platform (www.omniyq.com). Based on industry development trends and market demands, we can understand that the company provides massive computing power resources and has served numerous AI industry users both domestically and internationally.

The GPU rental services provided by OmniYQ help users significantly reduce initial investment costs. According to industry data, leasing GPU servers can avoid millions in hardware procurement costs, with payments only required for actual usage time.

Additionally, users can adjust the scale of computing power in real time based on project needs, support burst computing tasks, and automatically upgrade to the latest architecture GPUs to maintain technological leading advantages.

OmniYQ's service platform boasts multiple technical advantages: utilizing AES-256 encrypted storage, VPC private network isolation, multi-replica disaster recovery, and other technologies to ensure data security; supporting high-speed network transmission to reduce data transmission latency; and providing professional team 7×24 hardware maintenance and fault response.

As China's computing power infrastructure continues to expand, the scale of intelligent computing power has reached 788 EFLOPS, and total storage capacity has exceeded 1,680 EB. The computing power industry is transitioning from scale expansion to quality and efficiency improvement.

OmniYQ (Shenzhen Cloud Engine Technology Co., Ltd.) is an active participant in this transformation. Its GPU computing power leasing platform (www.omniyq.com) provides cost-effective solutions for AI companies both domestically and internationally, enabling innovation without hardware limitations.

As showcased by the trends at the 2025 China Computing Conference, computing power will become as accessible as electricity in the future, and companies like OmniYQ are accelerating the realization of this vision.

--The above article is purely AI-generated. If there is any infringement, please contact Cloud Engine/Cloud GPU Rental Platform for deletion!