Group 1 - The core topic of the articles revolves around the increasing discussions on electricity shortages in the U.S. and the potential for power export, which is expected to create significant value for companies in the industry [1] - Companies mentioned, such as Jinpan and Igor, have recently performed well, indicating a positive market response to the electricity shortage narrative [1] - The article highlights that the electricity shortage in the U.S. is anticipated to be a main theme in the future, providing considerable value increments for companies within the supply chain [1] Group 2 - Delta's HVDC solutions and the related supply chain companies are discussed, emphasizing the exploration of value in power export and the U.S. electricity system [2] - The acquisition of Power Distribution by Eaton, which marks the arrival of the liquid cooling 2.0 era, is analyzed, suggesting a shift in technology and market dynamics [2] - The article mentions ongoing discussions and data regarding AI-related companies in the context of power export within a dedicated community platform [2]

Core Viewpoint - The article emphasizes the importance of power and energy efficiency in the second half of AI data centers, highlighting the ongoing electricity shortages in the U.S. and the impact of data centers on electricity costs [2][4]. Group 1: AI Data Center Transformation - The traditional computing centers are evolving into AI factories, making power infrastructure a critical factor for deployment and scalability [7]. - NVIDIA proposes an 800VDC power distribution system combined with multi-time scale energy storage to address the explosive power demands of AI workloads [7][10]. Group 2: Technical Innovations - The shift from traditional low-voltage systems to an 800VDC architecture eliminates unnecessary AC-DC conversions, enhancing overall efficiency to over 90% [10][12]. - The new architecture supports high-density GPU clusters, allowing for scalability exceeding 1 megawatt per rack while reducing copper cable usage by 157% [12][13]. Group 3: Industry Collaboration - Building the 800VDC ecosystem requires collaboration across the industry, with NVIDIA partnering with various silicon suppliers and power system component partners [11]. - The Open Compute Project (OCP) is facilitating the establishment of open standards for voltage ranges and connectors [11]. Group 4: Solid-State Transformer (SST) Technology - SST technology is identified as a key solution for the next generation of data centers, with increasing demand in North America and significant market potential [21][22]. - Major companies like NVIDIA, Google, and Microsoft are actively developing SST solutions, with NVIDIA's Rubin architecture expected to adopt SST as a standard [21][22]. Group 5: Market Potential and Projections - The global market for SST could reach 800-1000 billion yuan by 2030, assuming a 20% penetration rate in new AI data centers [23]. - The demand for efficient power solutions is driving the rapid adoption of SST and HVDC technologies, with significant advancements expected by 2026 [22][24].