輝達黄仁勳: AI Expansion to Ultimately Lower Energy Costs - NVDA

[Para 1: The Lead] Hewlett Packard Enterprise (NVDA-US) CEO, Huang Renxun, asserts that the AI computational power expansion, despite straining power systems in multiple regions, will ultimately drive down energy costs. This statement is pivotal in the AI industry's trajectory, signaling a significant shift in long-term energy pricing dynamics. [Para 2-3: Supporting details & Context] Huang, addressing a conference in Houston, explained that investments in power supply capacity and the application of AI in energy production and distribution systems will long-term reduce energy costs. He emphasized that market forces are compelling investments in energy supply, and as energy supply increases with grid modernization, costs naturally decrease. This highlights the critical role of grid modernization in the context of AI demand surge and data center energy consumption escalation. Huang further noted that China's centralized approach in power expansion offers a competitive edge over America's decentralized system, pointing out that China's deployment of 429GW in 2024 is eight times that of America's 51GW, underscoring the importance of infrastructure investment in energy pricing trends.