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如何看待DeepSeek对算力需求的影响

Summary of Conference Call Notes Industry and Company Involved - The discussion revolves around the AI industry, specifically focusing on the impact of DeepSeek's DBC model on computing power demand and the broader implications for AI applications and related industries. Core Points and Arguments - DBC Model Launch and Market Concerns: The introduction of the DBC model has raised concerns regarding computing power demand due to its low parameter count and cost efficiency. However, the overall demand for training computing power remains stable in the short term, with significant capital expenditure plans from major companies indicating optimism for 2025 [2][5][9]. - AI Application Growth: The proliferation of AI applications and the development of domestic AI large models are expected to positively impact the demand for AI-specific chips related to AID® [2][4]. - Increased Demand for Computing Resources: Following the DBC launch, there has been a surge in access and inquiries, leading to a strain on server resources, indicating a robust demand for both training and inference computing power [2][5][6]. - Industry Expansion Potential: DBC, as an open-source large model, is anticipated to stimulate industry expansion, allowing companies to develop secondary applications based on DBC, which will further drive the growth of computing capabilities [6][7]. - Domestic Industry Chain Opportunities: The launch of DBC is seen as a catalyst for the domestic AI industry, potentially reducing the gap with U.S. counterparts and creating demand for local supply chains, with several chip companies announcing collaborations with DeepSeek [7][8]. - Impact on Electrical Equipment Industry: The development of DBSM and DMC is expected to significantly boost the domestic electrical equipment industry, particularly in areas like transformers and uninterruptible power supplies, where Chinese companies have the necessary technical and production capabilities [8][9]. Other Important but Possibly Overlooked Content - Capital Expenditure Trends: Major companies, including those in the U.S. and Europe, are increasing their capital expenditure plans, which is a positive indicator for the training computing power market [5][9]. - Focus Areas for Investment: Key segments recommended for attention include transformer companies, switchgear manufacturers, uninterruptible power supply providers, and server power supply companies, which are expected to see significant growth and market penetration [10]. - Collaborations and Partnerships: The rapid integration of DBC by both domestic and international companies, including tech giants like Microsoft and Amazon, highlights the urgency and importance of AI application development [7][9]. This summary encapsulates the critical insights from the conference call, emphasizing the implications of the DBC model on the AI industry and related sectors.