首页 > 新闻 > 正文

美味情缘

为什么不在缅甸妙瓦底执法？中方正在开展调查_我的网站

西游・降魔篇

A |

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.
。王星事件的相关讨论，还在持续。谭主对这一事件进行回溯和复盘后发现，这件事的发酵主要经历了三个阶段。从图上可以看到，第一个阶段，舆论场的讨论主要围绕“救援”展开——1月5日深夜，王星女友通过社交平台求助，此后几天，网友都在接力转发。1月8日之后，舆论场开始出现大量“内部曝光”的帖文，称找到了王星事件的“幕后老板”——“金老虎”。这个人，被形容为是“来自缅甸最大的劳务中介”。与此同时，泰国警方也初步确认王星是人口贩卖受害者。10日，舆论场集中出现的热门关键词为“妙瓦底”，并且被定义为了一个新的“诈骗聚集地”。

B | 总结起来，从舆论讨论的趋势来看，重点已经由对王星个体的关注，变成了对整个妙瓦底以及电诈的关注，由此也衍生了一系列的疑惑：电诈为何屡禁不止？这样的疑问有一个重要背景是，一直以来，“电诈”都集中在缅北地区。而妙瓦底，位于缅甸东南部。实际上，早在2021年，西南政法大学的谢玲教授就指出，“电诈”的窝点是动态变化的，诈骗团伙会选择更适合窝点发展和成本低的地方迁移。而妙瓦底，正是诈骗团队的迁移目的地之一。谢玲给谭主总结了妙瓦底的几个特点：首先是妙瓦底的地理位置，妙瓦底是缅甸与泰国交界的边境城市。妙瓦底的公路连接泰国曼谷和缅甸仰光，其水路，则是泰国到缅甸最便捷的水上运输通道。也就是说，妙瓦底很适合藏匿，也适合偷渡，这也意味着，它适合诈骗团伙的人员发展。其次，妙瓦底的赌博业发达，实体赌场很多，这也会为电诈集团洗钱提供更多的渠道。还有一个原因，是妙瓦底的生活成本低。西南政法大学教授谢玲：在妙瓦底北部的别墅区中，300多平米的办公楼月租在15-25万人民币左右，比缅北办公用房月租约低5-10万元人民币，同时，妙瓦底的外勤人力成本也处在缅甸的最低水平线以下，这样的犯罪成本支出，完全在诈骗团伙的承受范围之内。诈骗团伙的逃窜与隐匿，也与公安部门的严厉打击有关系。

C | 1月初，公安部通报称，自2023年7月部署开展打击缅北涉我电信网络诈骗犯罪专项工作以来，公安部依托中缅执法安全合作机制，指挥云南、浙江等多地公安机关联合作战。

D | 目前，缅北果敢地区规模化电诈园区被全部铲除。其他的一些电诈团队，只能往腹地逃窜——妙瓦底。在看到中缅联合执法行动后，谭主也注意到，舆论场现在也出现一种声音：我们为什么不在妙瓦底执法？中国人民公安大学侦查学院副教授王晓伟：中国警方在境外没有执法权，联合执法需要通过国际警务合作的渠道来开展。而开展联合执法的前提，是中方已经对诈骗案件进行了研判和侦查，在掌握了一定信息后，再将这些信息提供给诈骗窝点所在国警方，发出联合打击的请求。其次是，在掌握相关信息后，联合执法也需要走一定流程。就拿中缅对缅北的行动来说，先是外交部和我驻缅大使馆积极做工作，在这之后，公安部派出工作组赴缅甸开展国际警务执法合作。