On September 24, the GEM computing power ETF Huaxia adjusted. In terms of capital flow, the fund has received net capital purchases for 4 consecutive days, with a cumulative net subscription of 360 million yuan over 4 days, and the latest scale of 670 million yuan. According to the news, IDC has revised the 2025-2030 composite growth forecast for China's intelligent computing power from 46.2% to 50.3%, and the market size is expected to reach US$150.1 billion in 2030. Galaxy Securities said that the computing power sector continues to lead the high boom, and the boom in the computing power sector continues to be driven by investment in AI infrastructure. In the second half of the year, the boom in optical modules, optical devices, optical fiber cables, and IDC/AIDC is expected to continue. 1.6T optical module emissions, improvements in fiber optic cable volume and price, and resonance in AI computing power, DCI, and drone demand resonance are the main supports; automotive/IoT and industrial IoT repairs depend on relieving pressure on storage price increases and the fulfillment of demand for end-side AI and robots; operator computing power investment is expected to hedge against the decline in traditional business; profit restoration of intelligent controllers is expected to hedge against the decline in traditional business; profit restoration of intelligent controllers is expected to hedge against the decline in raw material prices and exchange rate stability. SDIC Securities believes that in the age of artificial intelligence, computing power is “national power, electricity, and productivity”: strategic resource attributes give it great investment flexibility, infrastructure attributes determine the degree of implementation of high performance, and actual utilization and application requirements support medium- to long-term investment certainty. Open Source Securities pointed out that as intelligent applications such as Muse under Meta support the permanent operation of tasks, the user computing power consumption model changed from single inference to continuous residence, and the CPU independently carried the scheduling and state maintenance load, creating a rigid gap independent of the accelerator card. 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.

On September 24, the GEM computing power ETF Huaxia adjusted. In terms of capital flow, the fund has received net capital purchases for 4 consecutive days, with a cumulative net subscription of 360 million yuan over 4 days, and the latest scale of 670 million yuan. According to the news, IDC has revised the 2025-2030 composite growth forecast for China's intelligent computing power from 46.2% to 50.3%, and the market size is expected to reach US$150.1 billion in 2030. Galaxy Securities said that the computing power sector continues to lead the high boom, and the boom in the computing power sector continues to be driven by investment in AI infrastructure. In the second half of the year, the boom in optical modules, optical devices, optical fiber cables, and IDC/AIDC is expected to continue. 1.6T optical module emissions, improvements in fiber optic cable volume and price, and resonance in AI computing power, DCI, and drone demand resonance are the main supports; automotive/IoT and industrial IoT repairs depend on relieving pressure on storage price increases and the fulfillment of demand for end-side AI and robots; operator computing power investment is expected to hedge against the decline in traditional business; profit restoration of intelligent controllers is expected to hedge against the decline in traditional business; profit restoration of intelligent controllers is expected to hedge against the decline in raw material prices and exchange rate stability. SDIC Securities believes that in the age of artificial intelligence, computing power is “national power, electricity, and productivity”: strategic resource attributes give it great investment flexibility, infrastructure attributes determine the degree of implementation of high performance, and actual utilization and application requirements support medium- to long-term investment certainty. Open Source Securities pointed out that as intelligent applications such as Muse under Meta support the permanent operation of tasks, the user computing power consumption model changed from single inference to continuous residence, and the CPU independently carried the scheduling and state maintenance load, creating a rigid gap independent of the accelerator card. 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.