Arm公司的首席执行官雷内·哈斯近日发出警示，随着人工智能（AI）技术的飞速发展，如果不提高能效，AI数据中心的电力需求将急剧增长。哈斯指出，目前美国AI数据中心的电力消耗仅占电网的4%，但据他预测，这一比例在未来的十年内可能攀升至20%~25%。
哈斯特别提及了近期引发热议的ChatGPT等大型语言模型，强调这类应用在推动AI进步的同时，也带来了显著的能耗问题。他表示，随着这些技术的普及和应用深化，能源消耗问题将成为业界和政策制定者必须面对的重大挑战。
哈斯的警告凸显了AI产业可持续发展的重要性，以及在技术创新的同时，必须兼顾能源效率和环保的平衡。随着AI在医疗、交通、制造业等领域的广泛应用，如何有效管理和减少数据中心的能耗，已经成为行业发展的关键议题。这不仅关乎经济成本，更涉及到全球气候变化和环境保护的长远目标。因此，未来的研究和政策制定需要更加注重能效优化，以确保AI技术的健康、绿色和可持续发展。
英语如下：
**News Title:** “Arm CEO Sounds Alarm: US AI Data Center Electricity Consumption Could Soar to 20-25% by 2030”
**Keywords:** Rising AI energy consumption, data center pressures, ChatGPT impact
**News Content:**
Title: Arm CEO Warns: US AI Data Centers Could Consume 20-25% of Grid Power by 2030
René Haas, CEO of Arm, recently issued a cautionary note, stating that without increased energy efficiency, the power demand of artificial intelligence (AI) data centers will surge significantly. Haas pointed out that these centers currently account for just 4% of the US grid’s electricity consumption, but he forecasts this figure could climb to 20-25% over the next decade.
Haas specifically mentioned the recently hyped large language models like ChatGPT, emphasizing that while such applications drive AI advancements, they also contribute to substantial energy consumption issues. He highlighted that as these technologies become more widespread and their applications deepen, energy consumption will pose a major challenge for the industry and policymakers.
Haas’s warning underscores the importance of sustainable development in the AI sector and the need for a balance between technological innovation and energy efficiency, with an eye on environmental concerns. With AI’s extensive use in healthcare, transportation, manufacturing, and more, effectively managing and reducing data center energy consumption has become a pivotal issue for industry growth. This concern is not merely economic but also relates to long-term climate change and environmental protection goals. Consequently, future research and policy-making must prioritize energy efficiency optimization to ensure the healthy, green, and sustainable development of AI technology.
【来源】https://www.cls.cn/detail/1642509
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