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first_img Chinese AI company seeks to rent overseas NVIDIA computing power

Reuters reported on November 12, citing three informed sources, that Chinese artificial intelligence companies are attempting to rent Nvidia chip computing power from overseas data centers, concerned that the controversy surrounding Nvidia CEO Jensen Huang may prompt Washington to tighten restrictions on the remote use of advanced processors. The United States has restricted the export of Nvidia's most advanced artificial intelligence chips to China, and Chinese companies can currently use such processors remotely by renting computing power from overseas data centers. A large Chinese cloud service provider has internally discussed whether to secure overseas Nvidia chip capacity, and some companies have contacted data center operators to negotiate reservations. The informed sources declined to be named due to the sensitivity of the matter and did not specify the cloud service provider.Two informed sources stated that smaller artificial intelligence labs are also considering similar arrangements, including reaching out to major computing power rental service providers in Southeast Asia. These companies are concerned that the controversy surrounding Jensen Huang may provide political momentum for the U.S. Remote Access Security Act (RASA). This bill aims to authorize the U.S. Department of Commerce to regulate remote and cloud access to restricted technologies. The U.S. House of Representatives passed the bill in January with a vote of 369 in favor and 22 against, and it is currently awaiting Senate review. Reuters stated that Nvidia's advanced processors are used to train and run the large models behind generative artificial intelligence products like chatbots, and restricting overseas cloud access will make it more difficult for Chinese developers to obtain high-end computing power without directly importing chips.Jensen Huang stated on Sunday that he was unfaithful to his wife. The New York Times reported that the individual involved is Alice Huang, a former executive of Singapore cloud computing company Megaspeed, who U.S. authorities have identified as a Chinese intelligence operative. Reuters stated it was unable to independently verify the allegation, and the Chinese side has denied it. Two informed sources said that Alice Huang has business dealings and investment relationships with Chinese tech companies such as Tencent and Alibaba, which did not immediately respond to requests for comment. Business filings in Singapore reviewed by Reuters show that Alibaba subsidiary Apex Enterprise Solutions had provided financing to Malaysian company Speedmatrix, which is associated with Megaspeed. Megaspeed denied illegally transshipping Nvidia chips subject to U.S. export controls to China. Two other informed sources stated that traders and intermediaries have begun hoarding restricted Nvidia artificial intelligence chips in China's gray market, with buyers concerned that the controversy may prompt the U.S. to take broader action against the smuggling of advanced chips and artificial intelligence servers.

DeepSeek is hiring for operations and maintenance with a monthly salary of 30,000, while regular duty staff only earn five to six thousand

According to an interview with "Daily People," a data center operations engineer who has worked in Ulanqab, Inner Mongolia for 5 years stated that local AI data centers are still under large-scale construction, but the hiring demand at his company has significantly decreased. The company hired thousands of people in 2025, but by the time of the interview in 2026, only 3 new hires had been made.The engineer, who goes by the pseudonym Zhang Liwei, originally worked on an assembly line at an automobile factory. When he first switched careers, his internship monthly salary was 2,000 yuan, which increased to 4,500 yuan after graduation. After 5 years of job hopping and promotions, he currently earns over 10,000 yuan per month. In April of this year, DeepSeek was hiring senior operations engineers and senior delivery managers for its data center in Ulanqab, offering a monthly salary of 15,000 to 30,000 yuan, with 14 months' salary. These positions require extensive experience in data center operations and project management. According to Zhang Liwei's observations, local ordinary duty staff still earn around 5,000 to 6,000 yuan per month, while assistant engineers can earn over 10,000 yuan.The entry barriers are also rising. In 2024, some data centers were still hiring newcomers without relevant professional backgrounds; however, this year, some companies have required candidates to have a relevant degree and work experience, and there is even a 35-year age limit for basic duty positions. Zhang Liwei mentioned that a former colleague has started a training class for operations, charging nearly 20,000 yuan per student, and classes only start when there are 60 students, with a single session fee approaching 1.2 million yuan. The so-called internal recommendations are mostly just to help students secure an interview opportunity.

first_img Reports indicate that Moon's Dark Side is seeking to rent advanced chip computing power from NVIDIA in Europe

CNBC cited four informed sources reporting that the Chinese artificial intelligence startup Dark Side of the Moon had discussions this year with several emerging cloud service providers operating data centers in Europe, seeking to rent computing power provided by NVIDIA GPUs. Three of the sources stated that Dark Side of the Moon primarily sought to rent NVIDIA's latest Blackwell series chips; one source indicated that the two parties had discussed renting a computing cluster deployed in Europe, consisting of 8,000 or more Blackwell chips.The sources said that Dark Side of the Moon mainly hopes to utilize these chips for AI model inference while also intending to acquire model training computing power. The United States currently prohibits the export of NVIDIA's most advanced AI chips to China, but existing laws have not granted regulatory agencies broad authority to restrict Chinese companies from remotely using these chips through overseas cloud services. Some cloud service providers and financing institutions, concerned about the U.S. tightening remote usage restrictions, have sought to charge higher advance payments, with proposals requiring Dark Side of the Moon to pay advance payments 30% to 50% higher than those of non-Chinese clients. Dark Side of the Moon was established in 2023 and owns the Kimi series models.

first_img Lisi Star Deep Fund's scale expanded to 7.52 billion yuan, continuing to acquire shares from DeepSeek

The Science and Technology Innovation Board Daily reporter learned from multiple sources that the venture capital firm Lisi Capital, which participated in the previous round of financing for DeepSeek, continues to secure an investment share in DeepSeek's new round of financing, with the participating entity being its subsidiary Tianjin Lisi Xing Shen Equity Investment Partnership (Limited Partnership) (Xing Shen Fund). As multiple listed companies disclose their funding progress and business information updates, the fund size has increased from the previously disclosed 2.64 billion yuan to 6.02 billion yuan, and was ultimately confirmed at 7.52 billion yuan, with the funds already paid in.Public announcements show that Zhihu announced on September 6 that it plans to invest 1.5 billion yuan through its wholly-owned subsidiary to participate in the Xing Shen Fund, which completed registration with the Asset Management Association of China on September 15; Tongchen Beijian disclosed in late September that it participated with its own funds of 50 million yuan when the fund size was 2.64 billion yuan. On October 9, Zhongwang Fabric announced its intention to invest 50 million yuan, at which time the subscribed amount had increased to 6.02 billion yuan. On October 21, Tongchen Beijian disclosed that it received notice that the fundraising scale had increased from 2.64 billion yuan to 7.52 billion yuan, the fundraising has been completed and all funds have been paid in; Perfect World, Te Bao Biotechnology, and others subsequently confirmed this scale. According to Qichacha, the Xing Shen Fund has a total of 41 partners, including the executive partner Tianjin Lisi Ming Tang and 40 limited partners, with a total subscribed capital of 7.52 billion yuan.The reporter compiled that 13 listed companies and their related funding entities have a total subscribed amount of 3.495 billion yuan, accounting for approximately 46.48% of the total fund size. Zhejiang Innovation Deep Intelligent Venture Capital Partnership has subscribed 1.4 billion yuan, making it the second-largest contributor; along with the two funds of Zhejiang Province, Ke Chuang Zhan Xin and Ke Chuang Wei Lai, each subscribing 50 million yuan, the three Zhejiang state-owned entities have a total subscription of 1.5 billion yuan, while Wuxi Chanfang Guosheng Innovation Development Equity Investment Partnership has subscribed 80 million yuan. A person familiar with the situation stated that Lisi is one of the market-oriented institutions that obtained a larger share, while other market-oriented institutions typically have quotas ranging from 3 billion yuan to 4 billion yuan. Zhihu previously announced that the Xing Shen Fund adopts a blind pool structure, and this person indicated that the actual allocation may still be highly concentrated in DeepSeek. The reporter had previously sought confirmation from Lisi Capital on whether the Xing Shen Fund participated in this round of financing, but had not received a clear response by the time of publication.

DeepSeek showcases the AI Workbench Harness Creator Mode

DeepSeek showcased the creator mode of the AI workstation Harness. Harness currently offers four modes: Standard, PTC, Minimal, and Creator. Among them, the Creator mode allows users to directly let AI develop plugins, modify software interfaces, and then install them for use in Harness without needing to write code themselves.Users only need to describe their requirements, and the AI will check Harness's development interface, write the plugin code, complete the installation, and check the running effects. The installed plugins can be saved for continued use the next time they open the application. In addition to adding new interfaces, it can also provide tools for the Agent, enabling it to perform operations it originally could not. For example, users can have AI create a video editing tool with a timeline, a paper reader that supports underlining and annotations, as well as generate poster design tools, interactive 3D models, or even change the Harness interface to a pixel game style.In the official demonstration, the AI created a floating tomato timer, writing over 600 lines of front-end code, completing the installation and operation, taking a total of 5 minutes and 24 seconds. DeepSeek also released the prompts for 7 demonstration cases. Some works were modified through multiple rounds of dialogue, and it is not possible to achieve the same effect by simply inputting a single sentence.

first_img DeepSeek announced the design of AI coding agents to reduce manual intervention in multitasking

Chinese artificial intelligence company DeepSeek has announced a design plan aimed at enhancing the autonomy of AI coding assistants, allowing them to reduce human intervention while performing multiple tasks. According to a report by the South China Morning Post on Sunday, the plan originates from a paper published by the DeepSeek Harness team, with the core goal of reducing the human effort required to coordinate and monitor multiple AI agents.The team pointed out that managing multiple agents consumes human attention and cited a statement from the paper that "the single-task limit depends on model capability, while the multi-task limit depends on human attention." The paper also stated that one person can only supervise 3 to 5 active AI agent conversations at the same time. The proposed system will allocate tasks and coordinate work among the agents, allowing humans to free up energy to review results and make decisions.This proposal comes at a time of intense competition among AI developers, involving American companies Anthropic and OpenAI. Previously, Cointelegraph reported in October last year that, according to data from blockchain analysis platform CoinGlass, Chinese AI models outperformed their American counterparts in cryptocurrency trading, with DeepSeek being the only AI model in an experiment to achieve a 9.1% positive unrealized return, while the development cost of this model was only a small fraction of that of its American competitors.
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