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链上分工协作企业抱团共赢_我的网站

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一 | 8月22日，在高碑店市方官镇的旺轩通风设备制造有限公司排料车间，激光切割机床正在加工一块6米长、1.5米宽、8毫米厚的钢板。“钢板是风机整机生产企业的‘口粮’，现在镇里几家钢材供应商集中采购，一张钢板比以前便宜七八十元，我们随用随调，不压钱、不占地儿。”旺轩公司总经理李博文说。原料集采、就近配套，是方官镇风机产业抱团突围的关键一招。针对单家企业原料采购量小、议价能力弱、异地调货周期长等痛点，今年以来，该镇积极探索以大带小、分工协作、链式共生的发展路径，引导高碑店市辅闻钢材销售有限公司等本地供应商，根据风机企业用钢需求进行集中采购、科学备货，构建优势互补、抱团发展的新格局。

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.
。“我们走访了30多家风机生产企业，根据他们的诉求，常态化储备300余个规格的板材、型材。目前，已与60多家风机企业建立长期合作。”辅闻钢材总经理康达说，集中采购后，进货价格比以前更有优势，供货更快、品类更全。方官镇风机产业起步于二十世纪六十年代，现有122家企业，年产值达2.6亿元。以前各企业单打独斗，大单不敢接、急单接不了。“以前得囤7天以上的量，既压资金又占库存。”李博文深有感触地说，现在本地备货、当日配送，急单来了也不慌。原料集采，让生产成本降下来；分工协作，则让企业接大单、急单的底气更足。前不久，旺轩公司拿到一笔300万元的订单。“14台离心通风机，交货期只有19天，光靠自己干，根本赶不出来。”李博文说，这事搁以前，只能眼睁睁看着订单流失。现在不一样了。旺轩公司把钣金、扳边、机加工等多道工序拆分成“任务包”，发到方官镇风机产业群。

二 | 群内的小微加工厂认领后，大家同时开工、同步推进。“精细加工自己做，分包任务统一标准，总装和质检抓在自己手里，严把质量关。最后，这批订单如期交付，客户验收一次通过。”在李博文看来，抱团发展打破了“小而全”的低效生产模式，让他们能把更多财力、精力用在关键工序和核心技术上。叶轮精加工是风机制造的关键工序，直接影响风机的平衡性和稳定性。以前，旺轩公司没有大型叶轮精加工设备，去外地加工得7至10天，花费三四千元。今年3月，该公司购入了价值128万元的高端车床，实现大型叶轮自主精加工，加工时间压缩至2天，成本降到300元。截至目前，该设备累计加工的风机产品产值超1000万元，带动企业前7个月营业收入同比增长20%。旺轩公司这样的龙头企业跑出加速度，配套企业也获得源源不断的订单。“以前我们经常‘吃不饱’，现在来自旺轩公司的订单占三成。除此之外，我们还服务周边20多家风机整机企业。”高碑店德慧风机配件加工厂负责人谷书德说，抱团发展后，大厂带小厂，大家各取所长、互利共赢。方官镇党委书记冯彦霖说，抱团发展不是分订单，而是产业链的整体提升。目前，他们正在筹建风机行业协会，以规范化、标准化引领产业提档升级。