**Arm CEO警告：AI数据中心电力消耗或将激增至美国电网的20%至25%**
Arm公司的首席执行官雷内·哈斯近期发出警告，指出随着人工智能技术的快速发展，如果不提高能效，AI数据中心的电力消耗将急剧增加。哈斯在一次讲话中透露，目前美国AI数据中心的电力消耗仅占电网的4%，但到2030年，这一比例可能攀升至20%至25%。
哈斯特别提到了ChatGPT等流行的大语言模型，强调这类应用对电力的需求尤为显著。他表示，随着人工智能在各行各业的广泛应用，尤其是数据中心支持的复杂计算任务，能源消耗问题已成为业界亟待解决的关键挑战。如果这一趋势持续，不仅会对环境造成更大的压力，也可能对电网稳定性构成威胁。
哈斯的言论引发了对人工智能可持续性的讨论，呼吁行业在追求技术创新的同时，也要注重能源效率的提升。随着全球对减少碳排放和应对气候变化的承诺增强，AI产业需要寻找更绿色的解决方案，以平衡技术进步与环境保护之间的关系。
这一警告也为政策制定者和企业敲响了警钟，他们需要在规划未来基础设施时，充分考虑能源效率和可再生能源的使用，以确保AI的快速发展不会成为可持续发展的绊脚石。
英语如下：
**ARM CEO sounds alarm: AI data center power consumption could soar to 20-25% of US grid by 2030**
Keywords: Rising AI energy consumption, data center pressures, ChatGPT impact
News Content: **ARM CEO warns that AI data centers’ power usage might surge to 20-25% of the US electricity grid**
ARM CEO, René Haas, recently issued a warning, stating that without increased energy efficiency, the power consumption of AI data centers could skyrocket. In a speech, Haas revealed that these centers currently account for just 4% of the US grid, but by 2030, this figure could rise to 20-25%.
Haas specifically mentioned popular large language models like ChatGPT, emphasizing the substantial power demands of such applications. He noted that with the widespread adoption of AI across industries, particularly in energy-intensive computational tasks supported by data centers, energy consumption has emerged as a critical challenge that the sector must address. If this trend continues, it could exert greater pressure on the environment and pose threats to grid stability.
Haas’ comments have sparked discussions on the sustainability of AI, urging the industry to prioritize energy efficiency alongside technological innovation. As global commitments to reduce carbon emissions and combat climate change intensify, the AI sector needs to find greener solutions to balance technological progress with environmental protection.
This warning also serves as a wake-up call for policymakers and businesses, who must consider energy efficiency and renewable energy utilization in planning future infrastructure to ensure that the rapid advancement of AI does not hinder sustainable development.
【来源】https://www.cls.cn/detail/1642509
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