虎牙（全文在线阅读）>
虎牙《郡县联播》：安全生产治本攻坚三年行动共排查重大隐患8.1万项_我的网站
A |  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. 。
B | 聚焦县域动态，关注县域发展，来看本期的郡县热点：安全生产治本攻坚三年行动共排查重大隐患8.1万项绿色超级充电宝！在湖北创造了3项世界纪录2024“食博会·预博会”在东莞成功举办西渝高铁康渝段首个连续梁顺利完工2023-2024雪季吉林多项旅游数据创新高江苏高邮：光储充产业实现开票销售321.5亿元贵州麻江：以小蓝莓撬动大产业马鞍山雨山：大力宣传见义勇为 引领社会正气新风松花江全线进入开江期青海果洛：首次影像记录到罕见白色马麝更多精彩，点击图片进入“小康视频” 《郡县联播》由《小康》全力打造，是国内首档全面聚焦中国县域发展的新闻视频节目。通过中国小康网、小康视频、《小康》新媒体矩阵的全媒渠道联动连接25万家县域新媒体阵地，辐射1.4亿各界优质受众人群。 在全面建设社会主义现代化国家的新起点上，在实现中华民族伟大复兴的新征程中，《郡县联播》将继续全方位对接中国2843个县级行政区，面向3000多万公务员群体，立足于以权威媒体的独特视角，致力于科学强国，绿色发展，聚焦县域动态，关注县域发展，聚合新能量，释放新动能，积极为建设中国式现代化贡献力量。 Current article:http://www.minpinpengcemiuanjiuxuan.pics/list_yrwmx/1k1.doc Published on:09:53:21 |
