The concept of computing power leasing continues to rise, with multiple stocks, including YunSai Zhilian, hitting the daily limit.
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The computing power leasing concept rebounded after fluctuations, with Wangsu Science & Technology rising nearly 15%.
According to Mars Finance, the computing power leasing concept stocks rebounded in early trading, with Wangsu Science & Technology rising nearly 15%, followed by Sangfor Technologies, Cloudwalk Technology, UCloud, Aofei Data, and Xiechuang Data. Galaxy Securities believes that computing power leasing companies are currently exploring a "token factory" cooperation model with large-scale model providers, gradually evolving from the underlying "selling resources" model to a "selling output" model. Computing power leasing companies will provide MaaS services and share the benefits of the token boom through a token-sharing profit model. (Cailian Press)
Galaxy Securities: We recommend focusing on leading computing power leasing companies.
According to Mars Finance, Galaxy Securities points out that with the explosive growth in demand for AI inference computing power, the token factory business model is accelerating. Compared with traditional computing power leasing, token factories place greater emphasis on binding with downstream large-scale model inference needs. Pricing is gradually shifting from "computing power resources and duration" to "token output and unit cost." Upstream computing infrastructure can participate more in the value distribution of downstream model manufacturers, strengthening the bargaining power of the upstream computing infrastructure segment and sharing the dividends of the token economy era. Galaxy Securities believes that computing power leasing companies are currently exploring the "token factory" cooperation model with large model manufacturers, which will gradually evolve from the underlying "selling resources" model of computing power leasing to a "selling output" model. Computing power leasing companies will provide MaaS services and share the dividends of the token boom by adopting a token revenue-sharing profit model. This is expected to improve the profit margin of computing power leasing companies, and the valuation center is expected to further increase. It is recommended to pay attention to leading computing power leasing companies.
CITIC Securities: Significant fluctuations will not alter the AI supercycle; emphasize the importance of domestic computing power as a "Plan B".
According to Mars Finance, CITIC Securities points out that news of Meta's plan to lease out some of its computing power has once again triggered market concerns about computing power oversupply. This, coupled with concerns about cloud vendors' cash flow pressures, the continued rise in upstream prices, the slowdown in Capex growth, and overcrowding in AI transactions in recent months, is the main reason for the significant volatility in tech stocks. In the short term, Meta's move is primarily aimed at revitalizing its existing, outdated computing power assets. Considering its continued development of advanced models and investment in next-generation computing hardware, leasing out computing power is not contradictory to further increasing its investment in computing power. Furthermore, since computing power rental fees have continued to rise recently, concerns about computing power oversupply are unfounded. This round of tech stock adjustments is more of a deleveraging and rebalancing process in the recent global liquidity tightening environment, rather than a reversal of the AI industry trend. For the medium to long term, it is crucial to pay close attention to whether the next few months will see a similar breakthrough in AI capabilities as seen with OpenClaw and Coding Agent at the beginning of the year. In addition, it has been observed that after overseas AI assets entered a phase of high crowding, high correlation, and high volatility, international funds are beginning to seek differentiated sources of return. Domestic computing power with differentiated value, dubbed "Plan B," remains resilient and is expected to attract foreign investment. With the earnings season approaching, we recommend focusing on sub-sectors with high earnings certainty and reasonable valuations: In terms of growth prospects, we recommend domestic FAB (Featured Adhesives and Materials) and equipment sectors with positive narratives, as well as the optical communication sector with relatively low valuations; in the price increase chain, segments with high AI exposure and those that have already experienced price increases have a higher probability of realizing their earnings gains, such as memory and upstream PCB industries. (Cailian Press)
EDA concept stocks continued to rise, with Huada Jiutian approaching its 20% daily limit.
Mars Finance reported on July 6th that EDA concept stocks continued to rise, with Huada Jiutian approaching its 20cm daily limit, following Gelun Electronics' 20cm limit. Guangli Microelectronics, Anlu Technology, and Shentong Metro also saw gains. In terms of news, a research report from BOCOM International Securities pointed out that logic folding is the core engineering practice of Tao's Law. It distributes gate circuits on the critical path to vertically stacked active layers, achieving gate-level three-dimensional interconnection through ultra-fine pitch hybrid bonding. Advanced packaging is the technological foundation for logic folding, while the EDA toolchain represents the biggest incremental opportunity for logic folding. (KeGuBao Broadcast)
Edge AI concept stocks fluctuated and strengthened, with Rockchip hitting the daily limit.
Mars Finance reports that AI-related stocks on the edge of the market rallied in early trading, with Rockchip Technology hitting the daily limit, followed by Transsion Holdings, Allwinner Technology, Pinming Technology, Espressif Systems, VeriSilicon Holdings, and Hengxuan Technology. In related news, Broadcom announced an expanded strategic partnership with Apple, extending its custom ASIC chip contract to 2031. Broadcom will develop and supply custom AI acceleration chips for multiple generations of iPhones, Macs, and Vision Pro products, strengthening its AI computing power deployment on the edge. (Cailian Press)
Sources say OpenAI, Anthropic, and Google are offering hefty computing power subsidies to startups to compete for enterprise clients.
According to a report by Odaily Odaily, citing sources cited by The Wall Street Journal, OpenAI, Anthropic, and Google are offering startups hundreds of thousands of dollars worth of computing resources and other incentives to attract new enterprise customers. (Jinshi)