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璞跃(Plug and Play):2024数据中心水和能源消耗研究报告:迈向可持续未来的变革措施(中译版)(24页).pdf

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1、Revealing the Water&Energy Consumption of Data CentersR E P O R TRevealing the Water&Energy Consumption of Data CentersContentsIntroductionEnergy Consumption in Data CentersKey Takeaways3423Water Usage in Data Centers6AI Investment vs.Achieving Net Zero:Which Should be Prioritized?9How Can We Shift

2、Data Center Strategy?11The Role of AI in Data Centers19Data Center Design New Approaches20Revealing the Water&Energy Consumption of Data CentersIntroductionArtificial intelligence(AI)is booming;data centers are booming.Every time we interact with AI tools like ChatGPT,a data center operates behind t

3、he scenes,consuming significant amounts of energy and water.Since the first data centers and chips were developed,society has primarily relied on coal and natural gas to meet the electricity needs of these facilities.Advances in architecture and computing power have improved the way we construct dat

4、a centers,helping to decrease the relationship between increased performance and energy use.However,there is still more to be done,as the number of data centers will continue to grow,with the prospect of building a new data center every 1-2 years.To meet the increasing demand for power and water,inn

5、ovation must not only continue but accelerate(for example,adding power to the system can take over four years).What has been accomplished so far?What are the long-term options we can rely on to not just make computing more powerful but also more sustainable?Why do Data Centers Consume so Much?Reveal

6、ing the Water&Energy Consumption of Data CentersHowever,they are not yet fully prepared to handle the rapid growth of energy-intensive technologies like AI and data centers,which require a lot more computational and data storage resources.In 2022,data centers,cryptocurrencies,and AI consumed up to 2

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本文主要讨论了数据中心在能源和水资源消耗方面的现状和未来发展趋势。 1. 数据中心能源消耗巨大,2022年数据中心、加密货币和AI消耗了全球2%的能源需求,预计到2026年AI数据中心将需要90太瓦时的电力。 2. 数据中心的水资源消耗与能源需求密切相关,平均每天使用30万加仑水来保持冷却,相当于10万户家庭的用水量。 3. 为了应对能源和水资源消耗,一些初创公司正在探索使用可再生能源、小型核反应堆和先进的冷却技术来减少数据中心的环境影响。 4. AI技术也可以用于优化数据中心,提高能源效率,减少排放。例如,谷歌的DeepMind通过AI驱动的冷却系统,将冷却能耗降低了40%。 5. 数据中心的设计也在不断改进,以提高效率和可持续性。例如,一些数据中心被设计在靠近可再生能源的地方,或者利用海洋和太空等特殊环境来降低冷却需求。 6. 政府政策在推动数据中心可持续发展方面发挥着关键作用,例如欧盟的绿色交易和气候中性数据中心公约。 7. 公众对AI的能源和水资源消耗的透明度要求日益增加,这促使开发者优化AI模型的训练和部署时间及地点。
数据中心如何减少能源和水消耗? AI投资与实现净零排放哪个更重要? 数据中心策略如何实现可持续发展?
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