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光模块领涨市场,通信ETF(515880)涨超4%,价格再创新高
Mei Ri Jing Ji Xin Wen·2025-08-13 04:29

Group 1 - The demand for AI computing power has surged, leading to significant increases in optical module stocks, with companies like Guangku Technology hitting the daily limit, and others like New Yisheng and Zhongji Xuchuang also experiencing substantial gains [1] - The communication ETF (515880) has risen over 4%, reaching new highs, with net inflows exceeding 800 million yuan in the past 10 trading days [1] Group 2 - The development of large models has accelerated, with the DeepSeek-R1 model launched in early 2025 achieving capabilities comparable to leading overseas models at a fraction of the training cost, sparking concerns over "computing power deflation" [3] - The global number of released large models has reached 3,755, indicating intense competition in the large model industry [3] Group 3 - AI commercialization is strengthening, with OpenAI's annual revenue reaching $12 billion, a significant increase from $4 billion in 2024, and Anthropic's revenue exceeding $4 billion, growing fourfold in the first half of 2025 [4] - The rise of "Chinese AI" is driving domestic investment, with major companies like Alibaba and ByteDance becoming core clients for cloud hardware [4] Group 4 - The market for optical modules is expanding due to increased usage and accelerated rate iterations, with the 800G optical module expected to see large-scale deployment in 2024 [5] - The global demand for 400G+ high-speed optical modules is projected to grow rapidly, with expectations of 20 million units for 800G and 1.6T demand reaching approximately 1.5 million units by 2025 [6] Group 5 - Leading companies in the high-speed optical module market are positioned to capitalize on product iteration opportunities, maintaining a significant market share due to their coverage of major internet clients and advancements in silicon photonics [9] - The communication ETF (515880), which includes major players in the optical module sector, is expected to benefit from the surge in AI computing power demand [9]