据财联社报道，AI的广泛应用将使得数据中心耗电量达到电动车充电需求的5至6倍。为解决这一问题，微软正训练大模型推进核电站审批耗时长、花费多的问题。
事实上，核电站供应商已经预计，AI的广泛使用将使得数据中心耗电量达到电动车充电需求的5至6倍。而微软创始人比尔·盖茨也是小型核电站（SMR）的长期拥趸和投资者。
为推进核电站审批的数字化转型，微软正致力于训练大模型以解决这一问题。通过这一举措，有望加速核电站审批过程，降低审批成本，从而促进核能行业的可持续发展。
英文标题：AI to accelerate nuclear power plant approval, consumption to reach 5x-6x electric vehicle charging demand
关键词：AI, nuclear power plant, approval, consumption, 5x-6x electric vehicle charging demand
新闻内容：
According to the report by financial media, the widespread use of AI will lead to a significant increase in data center consumption, reaching up to 5 to 6 times the consumption of electric vehicle charging. To address this issue, Microsoft is training large models to promote digital transformation in nuclear power plant approval, reducing the approval time and cost.
In fact, nuclear power plant suppliers have already anticipated that the widespread use of AI will lead to a significant increase in data center consumption, reaching up to 5 to 6 times the consumption of electric vehicle charging. Meanwhile, Microsoft founder Bill Gates is also a long-term supporter and investor in small-scale nuclear power plants (SMRs).
To drive digital transformation in nuclear power plant approval, Microsoft is working hard to train large models to solve this problem. By doing so, it is expected to accelerate the approval process of nuclear power plants, reduce approval costs, and promote the sustainable development of the nuclear energy industry.
【来源】https://www.cls.cn/detail/1542292
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