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On October 19, the GEM hashrate ETF Huaxia rebounded. As of press time, it had risen 0.12%, with a turnover of 388 million yuan, ranking first in its class in terms of liquidity. In terms of capital flow, GEM Computing Power ETF Huaxia has received net subscriptions for 3 consecutive days, with the latest share of 1,073 billion shares and a scale of 910 million yuan. Orient Securities said that as AI enters the era of inference, token factories can rely on computing power clusters and inference scheduling capabilities to achieve standardized token supply, adapt to the continuous growth trend of large-scale model inference demand, have the potential to reduce costs on a large scale, and are optimistic about its long-term business development space as the core carrier for AI computing power commercialization. Guosheng Securities believes that US technology companies have issued about 250 billion US dollars of bonds for AI infrastructure this year, and the annual issuance scale is expected to reach 320 billion US dollars, an increase of about 60% over the previous year. Meanwhile, US bond yields have continued to rise. The 10-year and 30-year US bond yields have all hit high levels in more than 20 years. Market capital is tight due to the centralized issuance of bonds by large technology companies, and AI capital expenditure is competing with the wider economy for limited capital supply. This means that the expansion of computing power clusters will face the problem of “where does the money come from and how high is the cost”, and the economics of AI factories will become one of the core variables in the next phase of the industry. Continue to recommend enterprises related to the computing power industry chain, such as leaders in the optical module industry, and it is recommended to focus on the domestic computing power industry chain. GEM Computing Power ETF Huaxia closely tracks the GEM Computing Power Infrastructure Index. The index focuses on the AI computing power infrastructure industry chain, and is a convenient tool to lay out the core links of computing power hardware with one click.
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On October 19, the GEM hashrate ETF Huaxia rebounded. As of press time, it had risen 0.12%, with a turnover of 388 million yuan, ranking first in its class in terms of liquidity. In terms of capital flow, GEM Computing Power ETF Huaxia has received net subscriptions for 3 consecutive days, with the latest share of 1,073 billion shares and a scale of 910 million yuan. Orient Securities said that as AI enters the era of inference, token factories can rely on computing power clusters and inference scheduling capabilities to achieve standardized token supply, adapt to the continuous growth trend of large-scale model inference demand, have the potential to reduce costs on a large scale, and are optimistic about its long-term business development space as the core carrier for AI computing power commercialization. Guosheng Securities believes that US technology companies have issued about 250 billion US dollars of bonds for AI infrastructure this year, and the annual issuance scale is expected to reach 320 billion US dollars, an increase of about 60% over the previous year. Meanwhile, US bond yields have continued to rise. The 10-year and 30-year US bond yields have all hit high levels in more than 20 years. Market capital is tight due to the centralized issuance of bonds by large technology companies, and AI capital expenditure is competing with the wider economy for limited capital supply. This means that the expansion of computing power clusters will face the problem of “where does the money come from and how high is the cost”, and the economics of AI factories will become one of the core variables in the next phase of the industry. Continue to recommend enterprises related to the computing power industry chain, such as leaders in the optical module industry, and it is recommended to focus on the domestic computing power industry chain. GEM Computing Power ETF Huaxia closely tracks the GEM Computing Power Infrastructure Index. The index focuses on the AI computing power infrastructure industry chain, and is a convenient tool to lay out the core links of computing power hardware with one click.
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