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Alibaba Cloud's Lingjun Zhenwu M890 supernode instance Photo: Courtesy of Alibaba Cloud

Lingjun Zhenwu M890 supernode instance Photo: Courtesy of Alibaba CloudAlibaba Cloud on Tuesday officially launched its Lingjun Zhenwu M890 supernode instance in Ulanqab, North China's Inner Mongolia Autonomous Region, with the first batch of instances now available for sale in the region.
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.
。邢台不养蚌、不产珍珠，却孕育出年销售2000多万元的珍珠加工产业，每年带动百余名农村妇女增收300多万元。

B | 8月17日，记者来到隆尧县北楼乡南汪前村一处农家院，“珍珠小院”的门匾格外醒目，这里便是优塔莉珠宝首饰有限公司的加工基地。院内的三层小楼，被划分成珍珠基础分选、打孔、精选、串珠等功能区，主要加工珍珠项链、耳坠等饰品。

C | 公司负责人刘胜波是南汪前村本地人。

D | 早年，他在浙江从事珍珠养殖、加工行业，多年来，30多名隆尧籍女工一直跟着他打拼。

E | 随着员工陆续成家育儿，常年在外奔波多有不便。“这些员工都是公司宝贵财富，不能老让她们在外漂泊。”刘胜波说。

F | 2021年，在当地政府的大力支持下，刘胜波将珍珠加工产业链条迁回家乡。他们将在浙江等地养殖生产的原料珍珠，经过清洗、初加工后运到隆尧，再进行精深加工生产。现在，公司从几十人发展到百余人，全部吸纳周边村镇农村妇女在家门口就业。在三楼的珍珠精选区，十几名女工正对着灯光专心筛选珍珠。员工张媛手持特制木夹，往珍珠堆里一探，轻轻一拨，目光快速扫过滚动的珠粒，麻利地挑出色泽、形状差异较大的珍珠，放到贴着不同标签的盒子中。精准筛选是珍珠加工的关键一步。珍珠可根据大小、颜色、形状划分为三个等级百余种规格，要从这些直径4至4.5毫米的珍珠中筛选出圆度、光泽一致的珠粒，十分考验从业者的眼力与实操经验。张媛大专毕业后，曾在省会从事销售工作，收入一直不太稳定。2024年底，她选择返乡，在家门口的“珍珠小院”就业。“每道工序不仅对熟练度有要求，还要具备专业技能。”张媛说，公司提供的带薪培训打消了她的后顾之忧。在这里，张媛系统学习珍珠加工的理论知识，老员工还手把手教她打孔、串珠等技能。