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苹果和英特尔说服美国专利局加入高通公司的专利战争_我的网站
一 | 北京时间1月16日早些时候，路透社报道，美国专利商标局决定加入苹果和大通之间数十亿美元的专利许可战。
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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.
。专利审判和上诉委员会决定考虑高通公司两项专利的有效性。
三 | 苹果及其盟友英特尔声称，这两项专利不涉及新发明，委员会已展开初步分析，以确定苹果是否有“合理的可能性”赢得这场争论。
四 | 委员会将听取双方的意见，并将在大约一年内作出最终决定。这个问题只涉及苹果和英特尔针对高通公司发起的几十项挑战中的前十几项，以及高通公司在移动通信领域的巨大专利组合中的少数几个。高通公司是世界上最大的移动电话芯片制造商，其许多技术支持所有现代移动电话系统。英特尔为苹果最新一代的iPhone提供芯片，双方已经向美国专利商标局提交了30多个挑战。他们希望在高通公司的专利中找到漏洞。
五 | 苹果一直在积极使用美国专利商标局的审查委员会。以这种方式挑战专利有效性比向联邦法院上诉更快更便宜。苹果和高通公司正在就后者收取的许可费展开全球专利战。苹果公司辩称，曾经供应芯片的公司利用其在市场上的优势迫使其付款。高通公司反驳说，苹果使用了自己的知识产权，但没有为此支付费用，并称苹果已经提起诉讼，要求其降低许可费。美国联邦贸易委员会（FTC）同意苹果对高通授权的看法，该机构对高通公司的反垄断诉讼已进入第二周。高通公司表示，苹果已经一年多没有向其支付任何费用，导致其损失数十亿美元的利润。高通公司对每部手机的零售价收取一定比例的费用，无论该设备是否使用该公司的芯片。
六 | 苹果认为高通公司应该对组件收费，而不是对整个手机收费。去年12月20日，在中国法院发布类似禁令后，德国法院禁止在该国销售某些iPhone。
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Published on:18:27:49