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天梯China’s first supernode for 2t-parameter models enters service in Ulanqab_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. 。 As artificial intelligence tools become increasingly accessible, concerns around misuse and consent are growing louder across the entertainment industry. Several actors have already voiced alarm over AI generated images that circulate online without permission. Now, actor Nivetha Thomas has added her voice to this ongoing conversation, issuing a strong public warning against the circulation of AI generated content that misuses her identity.A Firm Stand Against Digital MisuseTaking to her social media platforms, Nivetha directly addressed the issue, calling the creation and sharing of such images a serious violation of privacy. In a sharply worded note, she urged pages and users responsible for circulating AI generated visuals of her to remove the content immediately. She also appealed to the wider public to refrain from resharing or engaging with such material in any form, stressing that participation only legitimises an unethical practice.Nivetha described the misuse as deeply disturbing, unacceptable, and unlawful. She made it clear that her statement was being placed on record, and that anonymity would not shield those responsible. According to her, continued circulation of such content would be treated as deliberate misuse of her identity and could invite legal consequences. The message reflected a growing frustration among artists who feel exposed in an online ecosystem that often moves faster than regulation. It has come to my attention that AI-generated images misusing my identity and a recent photograph I shared on my social media are being circulated online.The creation and circulation of such content without consent is deeply disturbing, unacceptable, and unlawful. It… — Nivetha Thomas (@i_nivethathomas) December 17, 2025 Actors Push Back Against AI AbuseNivetha Thomas is not alone in raising concerns about artificial intelligence and its unchecked application. In recent months, several prominent actors including Shriya Saran, Aditi Rao Hydari, Keerthy Suresh, and Sai Pallavi have spoken openly about the harmful effects of AI generated images. Many of them have cautioned fans and social media users against participating in trends that cross ethical boundaries under the guise of creativity or admiration.Earlier this week, Sreeleela also shared a heartfelt message highlighting the darker side of technological advancement. Requesting social media users to stop supporting what she described as AI generated nonsense, the actor drew a clear line between using technology responsibly and abusing it. She pointed out that innovation is meant to simplify life, not create fear or insecurity, particularly for artists who already navigate intense public scrutiny.Sreeleela further argued that the misuse of AI is increasingly becoming a safety concern for actors, especially women, in the film industry. Her comments echoed a larger industry wide anxiety about deepfake content, manipulated images, and the psychological toll of losing control over one’s own likeness.Globally too, actors and creators have been demanding clearer legal frameworks to address AI related violations. From Hollywood strikes to public advisories by performers across industries, the message is consistent. Consent must remain central, even in the age of rapidly evolving technology. View this post on Instagram A post shared by SREELEELA (@sreeleela14) Nivetha Thomas and the Road AheadOn the professional front, Nivetha Thomas was last seen in the Telugu film 35 Chinna Katha Kaadu, directed by Nanda Kishore Emani. The film also featured Arundev Pothula, Vishwadev Rachakonda, and Priyadarshi Pulikonda in key roles. Known for her grounded performances and thoughtful choice of roles, Nivetha has built a reputation for balancing mainstream appeal with strong content driven cinema.Her decision to speak up now underscores how personal and pressing the issue of AI misuse has become for actors. It is no longer a distant technological debate, but a lived reality that affects dignity, safety, and mental wellbeing. By publicly drawing boundaries and warning of legal escalation, Nivetha joins a growing movement of artists demanding accountability in digital spaces.As conversations around artificial intelligence continue to evolve, voices like hers are pushing the industry and audiences alike to rethink where innovation ends and exploitation begins. Also Read: Nani resumes shooting for Tuck Jagadish。 Current article:http://www.qiniaohongfangfoguisenzhai.cyou/28kuuut/dvabb.docx Published on:06:05:00 |
