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公用事業:滿足AI對電力的飆升需求| 富蘭克林
May 21, 2024 ... 「能源轉型」是美國電力公用事業專注超過十年的主題。這一轉型以更多地使用再生能源,如太陽能和風能,並減少對傳統能源形式,如煤炭和核能的依賴為主要 ...
The AI Boom Could Use a Shocking Amount of Electricity | Scientific ...
Oct 13, 2023 ... These 1.5 million servers, running at full capacity, would consume at least 85.4 terawatt-hours of electricity annually—more than what many ...
As Use of A.I. Soars, So Does the Energy and Water It Requires ...
Feb 6, 2024 ... Generative artificial intelligence uses massive amounts of energy for computation and data storage and millions of gallons of water to cool ...
施耐德電機提醒:資料中心需重新設計以應對AI運算挑戰| Schneider ...
施耐德電機在其白皮書中特別指出,人工智能運作所需的電力、冷卻以及頻寬需求極大。在人工智能領域,GPU 是最常見且耗電最多的處理器。舉例來說,英特爾和AMD 的CPU 通常 ...
生成式AI浪潮興起:AI有多耗電、耗水?-低碳生活部落格
Feb 22, 2024 ... ... 運算,同時也仰賴大量的水資源來幫助機房降溫。若是涉及圖像、影像的生成,AI的耗能將會更高。 AI的能源需求分成兩大部分,一個是訓練語言模型所消耗的 ...
The hidden costs of AI: Impending energy and resource strain | Penn ...
Mar 8, 2023 ... Each facility consumes in the order of 20 megawatts up to 40 megawatts of power, and most of the time data centers are running at 100% ...
How to manage AI's energy demand — today and in the future ...
Apr 25, 2024 ... To achieve a tenfold improvement in AI model efficiency, the computational power demand could surge by up to 10,000 times. The energy required ...
研究指出生成式AI 所消耗的能源,到了2027 年用電量將超過某些國家 ...
Oct 19, 2023 ... 生成式AI的運算需求. 訓練大型語言模型(LLMs),比如OpenAI的 ... 他指出,ChatGPT先前對2021年底之後的事情是不理解的,這在一定程度上減少了運算需求。
How much electricity do AI generators consume? - The Verge
Feb 16, 2024 ... Most tasks they tested use a small amount of energy, like 0.002 kWh to classify written samples and 0.047 kWh to generate text. If we use our ...
王美花:台灣AI產業偏後端應用密切觀察用電需求
Mar 12, 2024 ... ... 經濟部長王美花表示,AI產業用電量大主要是在訓練階段,像是Open AI資料量大、運算量多;台灣產業偏向後端,未來將持續密切觀察AI應用對電力需求。
A.I. Could Soon Need as Much Electricity as an Entire Country - The ...
Oct 10, 2023 ... servers could use between 85 to 134 terawatt hours (Twh) annually. That's similar to what Argentina, the Netherlands and Sweden each use in a ...
如何挑選AI伺服器電源供應器(PSU)?AI Server電源供應器解決方案
Oct 4, 2023 ... ... 電量還多,顯示未來資料中心將成為用電大戶。而AI 伺服器重視系統可用性 ... 這是因為AI伺服器內的硬體組件對電力的需求遠超過一般伺服器。因此,AI ...
AI會造成缺電危機嗎?其實發展綠電比重啟核電正確
May 14, 2024 ... ... 電量的增加來估計AI對電力供需造成的壓力,很可能會高估。 成本和價格機制會對AI用電量有些約束效果. 推估未來需求量另一個值得考量的因素是成本和價格 ...
AI is poised to drive 160% increase in data center power demand
May 14, 2024 ... Goldman Sachs Research estimates the overall increase in data center power consumption from AI to be on the order of 200 terawatt-hours per year ...
AI already uses as much energy as a small country. It's only the ...
Mar 28, 2024 ... Included for the first time were projections for electricity consumption associated with data centers, cryptocurrency, and artificial ...
AI成吃電怪獸? 王美花:台灣偏應用端用電增加仍不明顯- 新聞- Rti ...
Mar 13, 2024 ... 特斯拉執行長馬斯克憂心,AI對電力需求大增,使全球從缺晶片轉為缺電,工商協進會理事長吳東亮日前也呼籲政府要找專家好好估算AI的用電需求到底有多少, ...
AI is harming our planet: addressing AI's staggering energy cost
May 24, 2022 ... ... energy used for computation and thus cut down on greenhouse gas emissions. This blog post aims to explain what causes this outsized energy ...
Generative AI's Energy Problem Today Is Foundational - IEEE ...
Oct 29, 2023 ... While the training process of these LLMs typically receives the brunt of environmental concern—models can consume many terabytes of data and use ...
以協助因應AI永無止盡的能源需求為使命
Apr 18, 2024 ... 未來的AI模型將持續擴大且更加聰明,進而刺激對更多運算的需求,對電力的需求也將隨之增加,形成互相推升的循環。如何找到降低大型資料中心用電量的方法, ...
POWER OF AI: Wild predictions of power demand from AI put ...
Oct 16, 2023 ... Google said right now AI is representing 10% to 15% of their power use or 2.3 TWh annually." However, Google could significantly increase its ...
AI電力需求大,企業如何落實ESG節能?日月光與美超微合作打造新 ...
Jun 6, 2024 ... 日月光半導體是美超微在台灣首個水冷散熱技術的合作夥伴,在中華電100%子公司中華系統整合的佈建下,將新一代美超微水冷AI伺服器及節能技術導入日月光資料 ...
AI Is Changing the Future of Energy. What to Know. - Barron's
Mar 14, 2024 ... AES, a Virginia-based utility, recently told investors that data centers could comprise up to 7.5% of total U.S. electricity consumption by 2030 ...
Artificial Intelligence Electricity Use Is In The Crosshairs
Jan 10, 2024 ... Partisans are forming into camps, with AI optimists extolling continued progress through more compute power, while pessimists are beginning to ...
Making an image with generative AI uses as much energy as ...
Dec 1, 2023 ... Code Carbon makes these calculations by looking at the energy the computer consumes while running the model. The team also calculated the ...
Amid record high energy demand, America is running out of ...
Mar 7, 2024 ... A major factor behind the skyrocketing demand is the rapid innovation in artificial intelligence ... AI can help make the grid operate more ...
AI, data centers and the coming US power demand surge | Goldman ...
Apr 28, 2024 ... AI servers in operation and implied revenues from our global TMT team ... capacity mix/factor and share of demand that requires new capacity are ...
Navigating the High Cost of AI Compute | Andreessen Horowitz
Apr 27, 2023 ... ... demand outstrips it by a factor of 10(!) So we think it's fair to ... needs to perform two floating point operations per parameter. First, it ...
2024 power and utilities industry outlook | Deloitte Insights
Dec 4, 2023 ... ... energy-intensive applications such as AI is expected to further boost demand. ... AI, including generative AI, throughout its operations. They ...
Executive summary – Electricity 2024 – Analysis - IEA
As in 2022, weaker consumption in the industrial sector was the main factor that reduced electricity demand, as energy prices came down but remained above pre- ...
Executive Order on the Safe, Secure, and Trustworthy Development ...
Oct 30, 2023 ... ... Energy's AI model evaluation tools and AI testbeds. The Secretary shall ... operations, other than the use of AI in national security systems.
Digitalization and Energy – Analysis - IEA
Nov 6, 2017 ... ... artificial intelligence in their operations. Widespread use of digital technologies could decrease production costs between 10% and 20 ...
Top 10 applications of AI in the energy sector | FDM Group UK
Mar 7, 2024 ... Energy storage. AI optimises the storage and distribution of energy from renewable sources. By considering various factors such as demand, ...
AI's Energy Appetite: Meeting The Demand For Innovation
Feb 1, 2024 ... ... factor: energy. The Energy Requirements Of AI. We will need enormous amounts of electricity to power the AI revolution and fully realize the ...
AI could gobble up a quarter of all electricity in the U.S. by 2030 if it ...
Apr 16, 2024 ... Data centers, where most AI models are trained, currently account for 2% of global electricity consumption, according to Badani. But with ...
Power-hungry AI: Researchers evaluate energy consumption across ...
Aug 14, 2023 ... ... energy demands when deciding to use it. “Recent years have seen a huge rise in large language models, but the conversation has revolved ...
Q&A: UW researcher discusses just how much energy ChatGPT uses
Jul 27, 2023 ... SM: In terms of training a large language model, each processing unit can consume over 400 watts of power while operating. Typically, you need ...
Power Requirements to Train Modern LLMs - nnlabs.org
Mar 4, 2023 ... Large Language Models (LLMs) are artificial intelligence models that are ... Power Consumption of Different Large Language Models. There are ...
Here Comes the Sun! Why Large Language Models Don't have to ...
Mar 22, 2023 ... Research studies have highlighted the growing amount of energy consumed by training large language models, which are estimated to have grown ...
AI Is Thirsty. Each chat with a large language-model… | by Clive ...
Jul 30, 2023 ... Hell, you'll probably be chatting with your damn microwave soon, via large language-model AI. That means energy and water usage will erupt, too.
Carbon foot print of Large language models
Mar 5, 2024 ... ... AI model designed to optimize energy consumption in data centers. 3) Renewable energy. As per Microsoft, leading cloud providers are aiming ...
The role of AI in energy consumption - Ericsson
Jun 20, 2023 ... Join us as we explore intelligence for sustainability – from AI for reduced energy consumption to smart energy management and new revenue ...
New Study Cites AI as Strategic Tool to Combat Climate Change ...
Feb 5, 2024 ... AI can help “reduce carbon emissions, support clean energy technologies, and address climate change,” it said. How AI Drives Energy Efficiency.
AI Energy Consumption: Concerns and Solutions
Unveil the energy costs of AI. Analyze the energy demands of AI computations and the strategies employed to reduce its carbon footprint.
AI Strategies for Industrial Carbon Emission Reduction
Apr 23, 2024 ... Key Strategies Powered by AI. Energy Consumption Optimization: AI algorithms optimize energy use, significantly cutting down emissions.
C3 AI Energy Management
Advanced AI models identify opportunities for fuel efficiency, prioritize emissions and cost reduction strategies with benchmarking and scenario analysis ...
How AI energy consumption solutions can turn your energy bills into ...
May 26, 2022 ... ... strategic development. Energy consumption machine learning (ML) ... AI can help reduce energy costs, by decreasing waste, optimizing ...
Data center sustainability: How to balance AI performance and ...
May 10, 2024 ... ... reducing the carbon footprint and operational costs of data-intensive AI applications. ... AI performance and efficiency:Five expert strategies ...
Strategies for Maximizing Data Center Energy Efficiency | NVIDIA ...
May 23, 2023 ... By implementing these strategies, you can reduce energy costs and improve the performance and reliability of your data center. Ultimately, these ...
Environmental Sustainability Through AI: 8 Conservation Strategies
Oct 3, 2023 ... It can also identify areas of energy waste and suggest ways to reduce it. For example, Google's DeepMind has used AI to optimize the cooling ...

根據最新數據,AI運算對用電量的需求正在迅速增加。根據某些估計,AI將需要與整個國家相當的電力。一些估算表明,AI目前每年消耗約85至134太瓦時的電力,這相當於阿根廷、荷蘭和瑞典每年消耗的電力量 2。未來,AI甚至可能需要10,000倍的計算能力,對能源消耗造成極大影響 3

值得注意的是,大多數AI任務消耗的電力相對較小,例如分類書面樣本僅需0.002度,生成文本則需要0.047度 4。然而,隨著AI的持續發展和普及,其整體能源需求將呈指數級增長 5。因此,為了應對AI對用電量的不斷增加,各國以及相關企業需要投入更多研究和資源,以發展更高效的AI模型和能源節約技術。

為了應對AI對電力需求的激增,施耐德電機建議重新設計資料中心以應對AI運算挑戰 6。此外,AI開發公司也應重視AI伺服器的電源供應器選擇,以確保系統可靠運行 7

總的來說,隨著AI在各個行業的應用不斷擴大,我們應該關注並積極應對AI對用電量需求可能帶來的挑戰,同時不斷尋求創新解決方案以實現可持續發展。

How much electricity does AI computation consume?

AI運算對用電量的需求取決於多個因素,包括硬體設備、模型複雜度和執行時間等。根據一項研究 25,使用生成式AI製作一張圖片所消耗的能源相當於充電您的手機所需的能量。這是由於運行模型時電腦消耗的能量。

AI的電力消耗引起了人們的關注。一些樂觀主義者認為通過增加計算能力,AI的進展將得到提高,而一些悲觀主義者則開始關注AI對電力消耗的影響 24。因此,隨著AI的普及和應用範圍的擴大,對其用電量的需求也相應增加。

為了降低AI運算的能源消耗,可以採取一些措施。例如,優化AI演算法以提高效率,選擇能源效率較高的硬體設備進行運算,或者採用可再生能源來支持AI系統運行。此外,及時關閉不需要的AI系統或設備也能一定程度上節省能源。

總的來說,AI運算對用電量的需求取決於多個因素,但通過合理管理和優化,可以降低其能源消耗並實現更加環保和永續的AI應用。

What are the key factors influencing the electricity demand of AI operations?

The electricity demand of AI operations is influenced by several key factors:

  1. Rapid Innovation in Artificial Intelligence: The rapid innovation in AI technologies is a major factor behind the skyrocketing demand for electricity in AI operations. As reported by [The Washington Post] 26, the increasing use of AI for various applications is driving up the energy demand.

  2. Energy-intensive Applications: The adoption of energy-intensive applications such as AI is expected to further boost electricity demand. According to [Deloitte Insights] 29, industries leverage AI, including generative AI, throughout their operations, leading to increased electricity consumption.

  3. Energy Requirements of AI: AI systems require significant amounts of electricity to function efficiently. According to [Forbes Business Council] 34, the energy appetite of AI is substantial, and meeting the demand for innovation in AI will require enormous amounts of electricity.

  4. Digitalization and Energy Efficiency: Incorporating digital technologies like AI in energy operations can lead to decreased production costs, which can influence electricity demand. A report by the [IEA] 32 highlights the potential cost savings of up to 10-20% through the use of digital technologies.

By understanding these key factors, stakeholders can better manage and plan for the electricity demand of AI operations to ensure efficient and sustainable energy consumption.

How do large language models in AI impact electricity consumption?

大型語言模型在AI中對電力消耗的影響是相當可觀的。根據一些研究和資料 35 36 37 38 39 40 41,大型語言模型的訓練過程需要龐大的能源支持。例如,一個大型語言模型的訓練單元在運作時每個處理單元消耗超過400瓦的電力 37。而在數據中心中訓練這些人工智慧模型,消耗的電量甚至可能占到全球電力消費的2% 35。這種高電力消耗勢必會帶來不小的能源壓力和環境影響。

如何降低AI對電力的需求?

有幾個方法可以降低AI對電力的需求。首先,優化大型語言模型的訓練過程,減少不必要的能源浪費是一個重要的方向。其次,使用可再生能源來支援訓練和運行AI模型也是一個環保的方法 41。另外,研究人員也可以考慮開發更節能的硬體設計,以降低AI模型的電力消耗 36

行動不僅節能還可環保

作為使用者,也可以通過使用能源高效的裝置、避免使用過多的AI功能、定期關機等方式來降低個人對電力的需求,以支持能源節約和環境保護。AI技術發展迅猛,優化電力消耗將是未來持續努力的方向之一。

What strategies can be adopted to reduce the energy consumption of AI computations?

To reduce the energy consumption of AI computations, several strategies can be adopted based on insights from various sources.

One key strategy is optimizing energy use through AI algorithms. By leveraging AI, energy consumption can be minimized, leading to a significant reduction in emissions 45. Additionally, advanced AI models can be used to identify opportunities for fuel efficiency and prioritize strategies for emission and cost reduction 46. These models enable benchmarking and scenario analysis to optimize energy management 46.

Furthermore, implementing energy consumption machine learning (ML) solutions can help in decreasing energy costs by optimizing energy usage and reducing waste 47. It is essential to focus on strategic development in energy consumption to achieve a competitive advantage 47.

Data centers, which are heavy energy consumers, can benefit from strategies that balance AI performance and efficiency 48. By implementing expert strategies for maximizing data center energy efficiency, such as optimizing cooling systems and hardware, energy costs can be reduced considerably 49.

Ultimately, by combining these strategies, businesses can achieve a more sustainable approach to AI operations, contributing to reduced energy consumption and lower environmental impact.

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