Core Viewpoint - Goldman Sachs has downgraded its forecast for rack-level AI server shipments, projecting a decline in expected volumes for 2025 and 2026 due to product transition impacts and supply-demand uncertainties [2][4]. Group 1: AI Server Market Outlook - Goldman Sachs expects AI training servers to remain the main growth driver in the market, but the growth rate is anticipated to be lower than previously expected due to factors such as product transition, production complexity challenges, demand variability, and tariff risks [7]. - The forecast for rack-level AI server shipments has been revised down to 19,000 units in 2025 and 57,000 units in 2026, with market sizes adjusted to $54 billion and $156 billion respectively [8]. Group 2: Impact on Supply Chain Companies - Goldman Sachs has lowered the target prices for several Taiwanese AI server supply chain companies, including Quanta, with reductions ranging from 7% to 21% [3][11]. - The downgrade reflects a shift from rapid growth to more rational expansion in the AI server industry, indicating that while growth is slowing, AI infrastructure investment remains a key growth driver in the tech sector [11]. Group 3: Performance of Different Server Types - High-performance AI servers are not expected to be completely replaced by rack-level solutions, as some customers prefer motherboard solutions for design flexibility [5]. - AI inference servers are projected to see sales growth of 41% and 39% in 2025 and 2026, respectively, driven by expanding application areas [12].
高盛大幅调低全球AI训练服务器出货量,全线下调相应供应链股价预期