**Arm CEO警示:AI数据中心未来电力消耗或将激增至20%~25%**

Arm公司的首席执行官雷内·哈斯近日向公众发出警告,指出随着人工智能(AI)技术的不断发展,如果不提升能效,AI数据中心的电力消耗将急剧增加。哈斯在一次讲话中表示,目前美国AI数据中心的耗电量在全电网中占比仅为4%,但根据他的预测,到2030年,这一比例可能攀升至20%至25%。

哈斯特别提到了近期备受关注的ChatGPT等大型语言模型,指出这类应用在推动AI技术进步的同时,也成为了电力消耗的重灾区。随着AI应用的普及和深化,数据中心的能源需求已成为一个亟待解决的环境与经济问题。哈斯的警告突显了业界在追求技术创新的同时,必须兼顾可持续发展和能源效率的提升。

这一预测引发了业界对AI产业能耗问题的关注。随着全球对绿色能源和碳中和目标的承诺,AI领域的公司和政策制定者将面临挑战,需要寻找新的解决方案,以确保技术进步的同时不会过度消耗能源。Arm作为全球领先的半导体知识产权提供商,其CEO的言论无疑为行业敲响了警钟,预示着未来的AI发展必须与能源效率的提升并行不悖。

英语如下:

**Title**: “ARM CEO warns: US AI data center power consumption could soar to 25% by 2030”

**Keywords**: Rising AI energy consumption, data center power, ChatGPT impact

**News Content**:

ARM CEO, René Haas, recently issued a public warning that without increased energy efficiency, power consumption in AI data centers could surge to 20% to 25% of the grid in the future. In a speech, Haas highlighted that currently, AI data centers in the US account for just 4% of total electricity usage, but he predicts this figure could rise to 20-25% by 2030.

Haas specifically mentioned the attention-grabbing large language models like ChatGPT, pointing out that while such applications drive AI advancements, they also contribute significantly to power consumption. As AI applications become more widespread and sophisticated, the energy demands of data centers have emerged as an urgent environmental and economic issue. Haas’ warning underscores the need for the industry to pursue technological innovation alongside sustainable development and improved energy efficiency.

This forecast has drawn attention to the energy consumption concerns within the AI industry. With global commitments to green energy and carbon neutrality, companies in the AI sector and policymakers will face challenges in finding new solutions to ensure technological progress doesn’t overly burden energy resources. As a leading global semiconductor IP provider, ARM’s CEO’s remarks serve as a wake-up call, signaling that future AI development must proceed in parallel with enhanced energy efficiency.

【来源】https://www.cls.cn/detail/1642509

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