敦刻尔克

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

A |     

     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.
。    本文来自微信公众号： 经济观察报 （ID：eeo-com-cn），作者：周菊，题图来自：AI生成                    近日，梅赛德斯-奔驰（以下简称“奔驰”）“大裁员”消息引发业内高度关注，其范围之广、赔偿之高成为热议焦点。

B | 有消息称，奔驰正推行有史以来规模最大的裁员计划，截至目前，约4000名员工已接受遣散方案离职。补偿金额度采用梯度设计，与职级、工龄紧密挂钩，还特别设置“加速奖金”激励员工尽早决策，最高赔偿可达“N+11”，资深管理人员最高可获50万欧元（约合人民币410万元）补偿金。不过据了解，此项计划和中国市场无关。                   今年以来，奔驰持续进行产能、供应链及人员的优化与调整。早在今年3月，就有消息传出，奔驰管理层将于4月向全体员工发信，鼓励员工自愿离职。遣散费方案主要面向工程师、行政及IT领域员工，感兴趣的员工可在2026年3月前进行申请。

C |                    据相关报道，奔驰首席执行官奥拉・卡列尼乌斯（Ola Källenius）表示，希望优厚的离职补偿能鼓励约3万名员工自愿离职。官方期望到2027年，通过外包决策、不填补空缺职位以及遣散费等措施，每年节省约50亿欧元。                   2025年上半年，受行业转型深入、市场竞争加剧、关税等因素叠加影响，通用、福特、大众、奔驰、宝马、stellantis、丰田等多家跨国车企巨头，普遍出现业绩波动，这是促使它们进行“瘦身”的直接原因。

D | 数据显示，2025年上半年，奔驰净利润下滑55.8%。                   在“瘦身”的同时，奔驰也在加速电动化和数字化转型，以把握未来机遇。

E | 8月曝光的一份奔驰投资者文件显示，奔驰计划在未来两年内推出一系列新车型，覆盖从入门级到高端市场的所有细分领域。尤其在中国市场，奔驰在2024年业绩说明会上表示，2025年至2027年将推出多款专属产品，覆盖所有细分市场和驱动形式。

F | 这些为中国市场量身打造的产品将在本土研发，并搭载中国特有的应用程序和车机内容，包括专属智能座舱和智能驾驶功能。目前，奔驰已与Momenta等本土智能驾驶供应商达成战略合作。                   事实上，受市场份额下滑以及关税等因素影响，德国汽车行业正掀起“裁员潮”，奔驰并非个例。大众汽车集团去年底与德国工会达成协议，计划到2030年在德国裁员超过3.5万人，并削减德国工厂产能，希望到2030年每年节省15亿欧元劳动力成本。今年9月，德国汽车零部件供应商博世宣布，到2030年底将进一步削减约1.3万个岗位，主要集中在汽车零部件业务部门；采埃孚在10月初表示，2030年前将裁减动力总成部门约7600个工作岗位。

Current article:http://a6f.gamajionghuanmuniuzhuanguchu.cyou/eum3c4/12ojx6.html

Published on:18:35:18