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China’s first supernode for 2t-parameter models enters service in Ulanqab_我的网站

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The instance is designed to handle inference for mixture-of-experts models with up to 10 trillion parameters, the company said in a statement sent to the Global Times on Wednesday.
This marks the first supernode-form computing architecture in China to successfully run large language models exceeding 2 trillion parameters, according to the company.
Industry expert Tian Feng told the Global Times that the commercial rollout of supernode infrastructure could significantly reduce training cycles, lower costs, and speed up iteration for AI developers requiring massive computational resources.
The company said the new instance has already been used to power commercial services for large language models such as KimiK3 and Qwen3.8Max.
The Lingjun Zhenwu M890 supernode instance supports FP8/FP4 low-precision computing. Through the ICNSwitch 1.0 chip, its scale-up interconnect scale has been expanded from 16 cards to 64 cards, with inter-card interconnect bandwidth boosted to 800 GB/s. Enterprises can provision 64-card, high-speed-interconnect computing units through the cloud without building their own data centers, according to the company.
In training scenarios such as autonomous driving and embodied intelligence, the instance delivers three times the training performance compared with the previous-generation Zhenwu 810E, the company said.
Ulanqab, where the supernode instance debuted, is one of Alibaba Cloud's five super data centers. The facility sources approximately 90 percent of its electricity from green energy, providing a low-carbon operating environment for high-density computing power.
Leveraging its climate, energy and network advantages, Ulanqab has transformed from "China's potato hometown" into the "token factory" - a term increasingly used in the AI industry to describe infrastructure dedicated to producing the digital building blocks generated by large language models.
By the end of 2025, the city had attracted 84 data center projects, including 81 intelligent computing centers, with total investment exceeding 500 billion yuan ($74.1 billion) and operational computing power reaching approximately 172,000 petaflops, ranking it firmly in the nation's top tier, according to domestic media reports.
On August 6, China's largest AI computing industrial park was completed and put into operation in Ulanqab. The project highlights a broader race in China to build massive AI data centers capable of supporting the next generation of AI models while addressing soaring electricity demand, according to Chinese experts.
In recent years, Inner Mongolia has been rapidly positioning itself as a global-scale AI computing center cluster. Major technology companies, including Huawei, Tencent, ByteDance and Alibaba; telecom operators China Mobile, China Telecom and China Unicom; as well as cyberspace infrastructure service provider VNET, have established computing facilities in the region.
As the AI industry gradually transitions from the training era to the inference era and large model parameters continue to expand, supernodes have become a central battleground for AI infrastructure.
Chinese vendors are accelerating deployments in this space. Huawei has commercially deployed more than 750 sets of its Ascend 384 supernodes across industries including internet, telecom operators, finance, education, healthcare, transportation and manufacturing. It is also the only domestic supernode to have trained state-of-the-art (SOTA) models.
Baidu AI Cloud has also launched its Tianchi 256-card supernode based on Kunlun chips, with support for major models including Wenxin, DeepSeek, GLM, and MiniMax.
Meanwhile, supercomputer manufacturer Sugon has unveiled China's first fully domestic 100,000-card AI supercluster Sugon 8000 (Dengfeng), integrating supercomputing and AI computing on a unified architecture. It has now been connected to the national supercomputing internet to provide computing services to government, research, and enterprise clients nationwide.
Tian, former dean of SenseTime's Intelligence Industry Research Institute, told the Global Times that the flurry of domestic supernode launches reflects a broader inflection point as China's AI sector pivots from training capacity toward efficient, large-scale inference.
The expert further said that the commercial viability of these systems - evidenced by Huawei's extensive deployed base, Baidu's rapid model adaptation and Sugon's integration into the national computing network - suggests domestic vendors are moving beyond proof-of-concept to genuine production-grade infrastructure, a prerequisite for sustaining the next wave of trillion-parameter model proliferation, Tian noted.
The move also underscores China's push for self-reliance in AI infrastructure as US chip export restrictions continue to tighten, Tian said, noting that, in the supernode domain, Chinese companies are shifting from imported graphics processing units toward homegrown interconnect chips and domestic compute clusters, a transition that could reshape value allocation across the AI industry chain.
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As an important part of Dunhuang art, decorative patterns are the carriers with the most rigorous compositional principles and the richest cultural spirit.
In the Dunhuang caves of Northwest China, there are numerous floral, cloud, flame, animal, and other decorative patterns. These patterns come from different periods and are found on and in structures and forms such as caisson ceilings, canopies, halos, costumes, border decorations and floor tiles, blending with statues, murals and architectural space.
Such patterns not only organically and harmoniously enriched and decorated murals, painted sculptures and entire caves, making them more splendid and perfect, but also developed their own period styles and characteristics, vividly recording the formation, change and development of Chinese decorative art and reflecting the social culture and customs of different times.
From the Sixteen Kingdoms (304-439) period through the Sui (581-618) and Tang (618-907) dynasties and beyond, Dunhuang cave mural art continued to evolve in both content and form with the changing times, and decorative patterns changed accordingly. From the three-petal leaf and honeysuckle patterns of the Northern Wei (386-534) to the scrolling-grass, baoxiang flower and linked-pearl patterns of the Sui and Tang and the medallion floral patterns dominated by mineral green in the Western Xia (1038-1227), Song (960-1279) and Yuan (1279-1368) periods, the pattern forms and color systems of different eras together form the historical lineage of Dunhuang decorative patterns, and also reflect the continuity and creativity of Chinese art.

I once led students in forming a research group on "Chinese Decorative Patterns of Dunhuang Through the Ages," systematically collecting, organizing, classifying and copying the decorative patterns on Dunhuang murals and painted sculptures, including the motifs. Through this sorting and copying, we conducted in-depth research and gained a full understanding of the historical culture, artistic features and decorative effects of each type of Dunhuang pattern, and clarified the causes, characteristics and historical evolution of each type. This is the "source" for contemporary design application.
Traditional patterns are an important source of inspiration for my designs. In design, on the one hand, the original appearance of traditional patterns should be preserved to a certain extent; on the other hand, they should be summarized, simplified, extended or enriched to make them more modern.
The ceiling pattern of the banquet hall of the Great Hall of the People was inspired by Tang Dynasty caisson patterns from Dunhuang. With a lotus as the center of the ceiling, and in line with the functional needs of the architectural structure, lighting and ventilation, it combines Dunhuang floral patterns with modern functions to create a spatial decoration with a distinctive national style. This design remains regarded as a model of the contemporary expression of traditional patterns.
I was invited to serve as artistic consultant for the creative program "Nian Jin" (Auspicious Brocade) at China Media Group's 2024 Spring Festival Gala for the Year of the Dragon. Through natural patterns such as mountains and clouds of the Han Dynasty (206BC-AD220), bird and animal patterns such as flying phoenixes and auspicious lions of the Tang Dynasty, floral patterns such as peonies and laurels of the Song Dynasty, and auspicious patterns such as gourds and lanterns of the Ming Dynasty (1368-1644), we enabled the audience to appreciate the aesthetic tastes passed down by the Chinese people over thousands of years and the breadth and depth of fine traditional Chinese culture.
In contemporary society, as standardized, mass-produced industrial products have become dominant, people hope to find forms that reflect their own national cultural language and are distinctive, warm and pleasing. Traditional patterns can make people feel the depth of history and emotional warmth, and can further embody the cultural character of their nation through modern design.
The study and innovation of decorative patterns is a highly practical part of inheriting and promoting fine traditional Chinese culture. It concerns not only vision and beauty, but also cultural attitudes and identity. These patterns are not just a form of heritage found on murals or on other cultural relics; they can enter our daily lives and become cultural symbols in fabrics, utensils, spaces and even digital interfaces.
I believe that more and more later generations engaged in art and design will, on the basis of promoting fine traditional Chinese culture and adapting to people's current needs for culture, art and a better life, take innovative steps to create a new style of modern design art with Chinese characteristics - one that is national, scientific and popular, so that traditional Chinese decorative patterns can constantly generate new vitality and shine with new splendor.
The author is former president of the Central Academy of Arts and Design. This was compiled and translated by the Global Times English edition based on an article published by the People's Daily Overseas Edition on August 20.
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