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class="ArticleBase-HeaderTitle"><noscript><span class="ArticleBase-LargeTitle">AI’s Impact on Data Center E-Waste and How to Mitigate the Problem</span></noscript><span class="ArticleBase-LargeTitle" data-testid="article-title">AI’s Impact on Data Center E-Waste and How to Mitigate the Problem</span><span class="ArticleBase-DefaultTitle" data-testid="article-default-title">AI’s Impact on Data Center E-Waste and How to Mitigate the Problem</span></h1><p class="ArticleBase-HeaderSummary" data-testid="article-summary">Despite the transformative potential of AI, its rise may exacerbate data center e-waste. Discover strategies to mitigate this growing environmental concern.</p></div></div></div><div class="TwoColumnLayout-Content"><div class="TwoColumnLayout-Body"><div class="ArticleBase-Body" data-testid="article-base-body"><div class="ArticleBase-Contributors" data-testid="article-base-contributors"><div class="Contributors Contributors_variant_normal Contributors_hasAvatar" data-component="contributors"><div class="Contributors-AvatarWrapper"><a class="Contributors-AvatarLink" aria-label="Christopher Tozzi" href="/author/christopher-tozzi" data-discover="true"><img aria-hidden="true" data-testid="contributor-avatar" data-component="image" class="Contributors-Avatar" data-src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=100&auto=webp&quality=80&disable=upscale" src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=100&auto=webp&quality=80&disable=upscale" loading="lazy" alt="Picture of Christopher Tozzi" title="Picture of Christopher Tozzi"/></a></div><div class="Contributors-InfoWrapper"><a class="Contributors-ContributorName" data-testid="contributor-name" href="/author/christopher-tozzi" data-discover="true">Christopher Tozzi</a><span class="Contributors-ContributorTitle" data-testid="contributor-title">, Technology Analyst</span><p class="Contributors-Date" data-testid="contributors-date">July 15, 2024</p></div></div><div data-component="article-read-time" class="ArticleReadTime ArticleReadTime_size_normal"><span data-component="icon" data-name="Clock" class="ArticleReadTime-Icon" style="mask-image:url("data:image/svg+xml,%3csvg%20xmlns='http://www.w3.org/2000/svg'%20fill='currentColor'%20width='25'%20height='25'%20viewBox='0%200%2025%2025'%3e%3cpath%20id='clock'%20d='M20.5,8A12.5,12.5,0,1,0,33,20.5,12.5,12.5,0,0,0,20.5,8Zm0,22.581A10.081,10.081,0,1,1,30.581,20.5,10.078,10.078,0,0,1,20.5,30.581Zm3.115-5.262-4.279-3.11a.609.609,0,0,1-.247-.489V13.444a.607.607,0,0,1,.6-.6h1.613a.607.607,0,0,1,.6.6v7.142l3.367,2.45a.6.6,0,0,1,.131.847l-.948,1.305a.609.609,0,0,1-.847.131Z'%20transform='translate(-8%20-8)'/%3e%3c/svg%3e");-webkit-mask-image:url("data:image/svg+xml,%3csvg%20xmlns='http://www.w3.org/2000/svg'%20fill='currentColor'%20width='25'%20height='25'%20viewBox='0%200%2025%2025'%3e%3cpath%20id='clock'%20d='M20.5,8A12.5,12.5,0,1,0,33,20.5,12.5,12.5,0,0,0,20.5,8Zm0,22.581A10.081,10.081,0,1,1,30.581,20.5,10.078,10.078,0,0,1,20.5,30.581Zm3.115-5.262-4.279-3.11a.609.609,0,0,1-.247-.489V13.444a.607.607,0,0,1,.6-.6h1.613a.607.607,0,0,1,.6.6v7.142l3.367,2.45a.6.6,0,0,1,.131.847l-.948,1.305a.609.609,0,0,1-.847.131Z'%20transform='translate(-8%20-8)'/%3e%3c/svg%3e");mask-repeat:no-repeat;-webkit-mask-repeat:no-repeat;-webkit-mask-position:center;-webkit-mask-size:contain"></span><span>4 Min Read</span></div></div><div class="ArticleBase-FeaturedImageWrapper" data-testid="featured-image"><div data-component="captioned-content" class="CaptionedContent"><div class="CaptionedContent-Content"><img data-component="image" class="ArticleBase-FeaturedImage" data-src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt83ad2c71baa807d0/669528dbb6559a8b44933c36/Data-Center-E-Waste-Green.jpg?width=1280&auto=webp&quality=95&format=jpg&disable=upscale" src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/blt83ad2c71baa807d0/669528dbb6559a8b44933c36/Data-Center-E-Waste-Green.jpg?width=1280&auto=webp&quality=95&format=jpg&disable=upscale" loading="eager" alt="Data center e-waste may increase due to the AI boom" title="Data center e-waste may increase due to the AI boom"/></div><div class="CaptionedContent-Caption" data-testid="captioned-content-caption">Data center e-waste may increase due to the soaring demands of AI<span 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class="ArticleBase-BodyContent ArticleBase-BodyContent_Article" data-testid="article-base-body-content"><div data-module="content" class="ContentModule-Wrapper"><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">Electronic waste (e-waste) has long been a challenge for data center operators concerned about environmental sustainability and social responsibility. However, the ongoing </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/ai-data-centers/afcom-ai-boom-fueling-data-center-construction-design-innovation">boom surrounding AI</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> could make the data center e-waste problem even worse.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">That’s why now is the time for data center operators, as well as businesses that deploy AI workloads inside data centers, to start thinking about </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/green-materials/cisco-incentivizes-partners-to-recycle-ewaste-responsibly">e-waste management</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> strategies. By getting ahead of the issue, they can reduce the amount of AI infrastructure that results in e-waste.</span></p><h2 class="ContentText ContentText_variant_h2 ContentText_align_left" data-testid="content-text" id="Data Center E-Waste: The Basics" style="scroll-margin-top:10rem;scroll-snap-margin-top:10rem">Data Center E-Waste: The Basics</h2><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">E-waste is any type of electronic product that is no longer in use and could potentially harm the environment. The </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/infrastructure/data-center-hardware">equipmen</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">t that data centers house – such as servers, network switches, and power supply units – can contain chemicals like lead and mercury. This means the equipment has the potential to become e-waste when it’s no longer in use.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">E-waste is bad from an </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/sustainability/data-center-sustainability-green-solutions-future">environmental sustainability</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> perspective because dangerous compounds inside data center equipment can leach into the natural environment, potentially harming plants, animals, and humans. It can also negatively impact people in developing nations, which often become the final destination for discarded IT equipment.</span></p><h2 class="ContentText ContentText_variant_h2 ContentText_align_left" data-testid="content-text" id="Will AI Make E-Waste Worse?" style="scroll-margin-top:10rem;scroll-snap-margin-top:10rem">Will AI Make E-Waste Worse?</h2><p data-component="related-article" class="RelatedArticle"><span data-testid="related-article-title" class="RelatedArticle-Title">Related:</span><a class="RelatedArticle-RelatedContent" href="/sustainability/navigating-scope-3-emissions-for-sustainable-data-center-operations" target="_self" data-discover="true">Navigating Scope 3 Emissions for Sustainable Data Center Operations</a></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">As with many tech sectors, data centers have contributed to e-waste for decades. But this challenge could grow, as more and more businesses seek to take advantage of AI – especially </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/ai-data-centers/rise-of-generative-ai-and-its-impact-on-the-data-center-sector">generative AI</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">The reason why is that generative AI applications and services must undergo a process called training, which involves parsing vast quantities of data to recognize patterns. Training typically takes place using servers equipped with </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/build-design/graphics-processing-unit-gpu-">Graphical Processing Units</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">, or GPUs. GPUs are much faster for training than traditional CPUs because GPUs have a higher parallel computing capacity, which means they can process more data at the same time.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">In most cases, </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/next-gen-data-centers/ai-data-centers">AI</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> training is a temporary or one-off process. Once an AI model has completed its training, it doesn't need to train again, unless its developers want to “teach” it new information. This means that training generative AI models is likely to result in the deployment of GPU-enabled servers for which there is not sustained demand.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">After the training ends – in other words, after companies get AI models up and running – there will be less need for that hardware because there aren't many use cases for GPUs inside a data center beyond AI training, and most organizations won’t need to retrain on a frequent basis.</span></p><p data-component="related-article" class="RelatedArticle"><span data-testid="related-article-title" class="RelatedArticle-Title">Related:</span><a class="RelatedArticle-RelatedContent" href="/sustainability/could-algae-be-the-key-to-data-center-sustainability-" target="_self" data-discover="true">Could Algae Be the Key to Data Center Sustainability?</a></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">From an e-waste perspective, this has the potential to result in a number of GPUs – or entire GPU-enabled servers – with decidedly short lifetimes. They’ll still function but may become obsolete due to lack of demand.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">A similar story has already played out in the </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/ai-data-centers/bitcoin-miners-pivot-to-data-center-operations-amid-ai-boom">cryptocurrency mining</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">v realm – where GPUs and other specialized hardware are also important because they're often used for mining operations. Because equipment manufactured for cryptocurrency mining serves virtually no other useful purposes, much of it has </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" rel="nofollow" target="_blank" href="https://www.sciencedirect.com/science/article/abs/pii/S0921344921005103">become e-waste</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">.</span></p><h2 class="ContentText ContentText_variant_h2 ContentText_align_left" data-testid="content-text" id="Mitigating Data Center E-Waste Caused by AI" style="scroll-margin-top:10rem;scroll-snap-margin-top:10rem">Mitigating Data Center E-Waste Caused by AI</h2><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">The good news is that there are ways to avoid a massive uptick in data center e-waste caused by AI training.</span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">One key step is for businesses to share AI training servers. Rather than purchasing their own GPU-equipped servers for training, companies can opt for </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/cloud/gpu-as-a-service-what-it-pros-need-to-know">GPU-as-a-Service</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> offerings, which essentially let them rent GPUs. When they’re done training, the GPUs can then be used by another business that has a model to train. That's much more </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/sustainability/green-materials">sustainable</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> – not to mention more cost-effective – than owning GPU-enabled servers that don't require continuous use.</span></p><p class="ContentParagraph ContentParagraph_align_center" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link ContentText-BodyTextChunk_bold" target="_self" href="https://www.datacenterknowledge.com/sustainability">Read more of the latest data center sustainability news</a></span></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">Opting to </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/ai-data-centers/why-ai-workloads-probably-won-t-transform-the-data-center-industry">use pre-trained models instead of building models</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> from scratch is another way to help mitigate the e-waste risk of AI. A growing number of models are available from open source projects that have already been trained, eliminating the need for specialized data center infrastructure of any type.</span></p><p data-component="related-article" class="RelatedArticle"><span data-testid="related-article-title" class="RelatedArticle-Title">Related:</span><a class="RelatedArticle-RelatedContent" href="/sustainability/amazon-says-its-carbon-emissions-fell-in-2023-amid-post-pandemic-pullback" target="_self" data-discover="true">Amazon Says Its Carbon Emissions Fell in 2023 Amid Post-Pandemic Pullback</a></p><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text">Companies should also, of course, make sure they properly </span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_self" href="https://www.datacenterknowledge.com/green-materials/the-green-grid-s-new-metric-tackles-it-recycling">recycle</a></span><span class="ContentText ContentText_variant_bodyNormal" data-testid="content-text"> or dispose of AI servers when they no longer need them. But ideally, they’ll minimize the number of servers they deploy in the first place that have the potential to become AI e-waste in short order.</span></p></div></div><div class="ArticleBase-More" data-testid="article-base-more"><p class="ArticleBase-MoreTitle">Read more about:</p><a data-component="keyword" class="Keyword Keyword_variant_category-2 Keyword_title_greenIt ArticleBase-Keywords" href="/keyword/green-it" data-discover="true">Green IT</a></div><div class="SocialShare"><div data-component="social-share" class="SocialShare SocialShare_variant_button ArticleBase-SocialShare ArticleBase-SocialShare_second"><a target="_blank" rel="noreferrer" aria-label="Facebook" href="http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/green-materials/ai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem"><span class="SocialShare-IconWrapper SocialShare-IconWrapper_variant_button"><span data-component="icon" data-name="Facebook" class="SocialShare-Icon 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class="ArticleBase-ContributorsWrapper"><h2 class="ArticleBase-ContributorsTitle">About the Author</h2><div class="ArticleBase-ContributorsSummary"><div data-component="contributor-summary" class="ContributorSummary ContributorSummary_variant_author"><div class="ContributorSummary-ImageWrapper ContributorSummary-ImageWrapper_variant_author"><a data-testid="contributor-summary-img-link" href="/author/christopher-tozzi" data-discover="true"><img data-component="image" class="ContributorSummary-Image ContributorSummary-Image_variant_author" data-src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=400&auto=webp&quality=80&disable=upscale" src="https://eu-images.contentstack.com/v3/assets/blt8eb3cdfc1fce5194/bltb80c8a754e05f0af/6613d88533fe26f3ee4e5204/christophertozzi_2.jpg?width=400&auto=webp&quality=80&disable=upscale" loading="lazy" alt="Christopher Tozzi" title="Christopher Tozzi"/></a></div><div class="ContributorSummary-InfoWrapper ContributorSummary-InfoWrapper_variant_author"><div class="ContributorSummary-TitleWrapper"><a data-testid="contributor-summary-title-link" href="/author/christopher-tozzi" data-discover="true"><p class="ContributorSummary-Title ContributorSummary-Title_variant_author" data-testid="contributor-summary-title">Christopher Tozzi</p></a></div><div class="ContributorSummary-SubTitleWrapper ContributorSummary-SubTitleWrapper_variant_author"><p class="ContributorSummary-SubTitle ContributorSummary-SubTitle_variant_author" data-testid="contributor-summary-subtitle">Technology Analyst, Fixate.IO</p></div><div class="ContributorSummary-ContentWrapper ContributorSummary-ContentWrapper_variant_author"><div class="ContributorSummary-Content ContributorSummary-Content_variant_author" data-testid="contributor-summary-content"><p class="ContentParagraph ContentParagraph_align_left" data-testid="content-paragraph"><span class="ContentText ContentText_variant_bodyNoneStyle" data-testid="content-text">Christopher Tozzi is a technology analyst with subject matter expertise in cloud computing, application development, open source software, virtualization, containers and more. He also lectures at a major university in the Albany, New York, area. His book, “</span><span class="ContentText ContentText_variant_bodyNoneStyle" data-testid="content-text"><a class="ContentText-BodyTextChunk ContentText-BodyTextChunk_link" target="_blank" href="https://mitpress.mit.edu/books/fun-and-profit">For Fun and Profit: A History of the Free and Open Source Software Revolution</a></span><span class="ContentText ContentText_variant_bodyNoneStyle" data-testid="content-text">,” was published by MIT Press.</span></p></div></div></div><div class="ContributorSummary-SeeMore"><a data-component="button" class="Button Button_size_medium Button_variant_textLink" rel="" href="/author/christopher-tozzi" data-discover="true"><span class="Button-ContentWrapper"><span class="ContributorSummary-SeeMoreText"><span>See more from Christopher Tozzi</span><span data-component="icon" data-name="ChevronRight" class="ContributorSummary-SeeMoreIcon" 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Up\",\"eln\",\"iirisRecommendation\",{\"_779\":780,\"_781\":782,\"_783\":784,\"_785\":786,\"_787\":159,\"_788\":159,\"_789\":790,\"_791\":792,\"_793\":794,\"_795\":194,\"_796\":797,\"_798\":799,\"_800\":801,\"_802\":803,\"_804\":805,\"_806\":807},\"id\",\"widget-1717150900358\",\"division\",\"it\",\"brandFamily\",\"enterpriseit\",\"entityTagBackground\",\"#333333BF\",\"showBy\",\"showTime\",\"borderRadius\",\"4\",\"imageWidth\",\"324\",\"imageHeight\",\"182\",\"imagePosition\",\"dropShadow\",\"#FFEB00\",\"entityTagBorderColor\",\"#333333\",\"borderColor\",\"#e6e6e6\",\"redirectMode\",\"same\",\"recipe\",\"related-items\",\"brandName\",\"datacknowledge\",\"articleSocialShareToggle\",{\"_810\":26,\"_811\":26,\"_812\":26},\"print\",\"email\",\"reddit\",\"routes/$topic.$slug._index\",{\"_815\":24,\"_816\":-7,\"_817\":778,\"_818\":24,\"_819\":24,\"_820\":821,\"_887\":888,\"_1445\":1446,\"_1474\":1475,\"_1484\":1485,\"_1528\":1529,\"_1534\":24},\"isRequestedByGoogleBot\",\"weatherWidgetConfig\",\"iirisRecommendationConfig\",\"isUserEntitled\",\"isGatedAsPaid\",\"metadata\",{\"_88\":822,\"_823\":824,\"_825\":826,\"_827\":12,\"_828\":829,\"_845\":846,\"_847\":848,\"_724\":849,\"_883\":24,\"_884\":24,\"_885\":24,\"_886\":159},\"article\",\"uid\",\"bltbdcaf9e626b85c03\",\"aid\",\"317153\",\"reg\",\"pterm\",{\"_830\":433,\"_831\":428,\"_832\":833,\"_834\":835},\"main\",\"parent\",\"grandparent\",{\"_112\":159},\"additional\",[836,842],{\"_88\":837,\"_112\":172,\"_59\":174,\"_838\":839},\"TopicSecondary\",\"parentTopic\",{\"_88\":840,\"_112\":841},\"TopicPrimary\",\"Next-Gen Data Centers\",{\"_88\":837,\"_112\":843,\"_59\":141,\"_838\":844},\"Data Center Hardware\",{\"_88\":840,\"_112\":132},\"contentFormat\",\"Commentary\",\"buyersJourney\",\"awareness\",[850],{\"_112\":309,\"_57\":309,\"_851\":852,\"_853\":854,\"_183\":311,\"_181\":310,\"_855\":856,\"_857\":858},\"companyName\",\"Fixate.IO\",\"role\",\"Technology Analyst\",\"tagLine\",\"Technology Analyst, Fixate.IO\",\"summary\",[859],{\"_88\":860,\"_861\":862,\"_865\":866},\"paragraph\",\"attrs\",{\"_863\":864},\"textAlign\",\"left\",\"content\",[867,870,881],{\"_88\":868,\"_868\":869},\"text\",\"Christopher Tozzi is a technology analyst with subject matter expertise in cloud computing, application development, open source software, virtualization, containers and more. He also lectures at a major university in the Albany, New York, area. His book, “\",{\"_88\":868,\"_871\":872,\"_868\":880},\"marks\",[873],{\"_88\":181,\"_861\":874},{\"_5\":875,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://mitpress.mit.edu/books/fun-and-profit\",\"target\",\"_blank\",\"rel\",\"class\",\"For Fun and Profit: A History of the Free and Open Source Software Revolution\",{\"_88\":868,\"_868\":882},\",” was published by MIT Press.\",\"gatedWithExternalForm\",\"gatedWithSiteReg\",\"paidGating\",\"sponsorName\",\"template\",{\"_889\":890,\"_894\":895,\"_69\":-5,\"_903\":904,\"_857\":905,\"_112\":906,\"_162\":906,\"_907\":159,\"_908\":159,\"_909\":159,\"_847\":848,\"_177\":849,\"_910\":190,\"_911\":-7,\"_912\":913,\"_921\":-7,\"_922\":-7,\"_923\":924,\"_939\":940,\"_941\":942,\"_946\":947,\"_948\":949,\"_175\":176,\"_823\":824,\"_1180\":1181,\"_1188\":1189,\"_845\":1196,\"_1197\":1198,\"_1199\":1200,\"_1201\":1202,\"_1419\":1420,\"_1421\":1422,\"_1427\":1428,\"_885\":1429,\"_1432\":1433,\"_1439\":1440,\"_819\":24},\"breadcrumbs\",[891,893],{\"_59\":892,\"_112\":680},\"/\",{\"_59\":434,\"_112\":433},\"topics\",[896,899,901],{\"_897\":837,\"_112\":433,\"_59\":434,\"_838\":898},\"__typename\",{\"_112\":428},{\"_897\":837,\"_112\":172,\"_59\":174,\"_838\":900},{\"_112\":841},{\"_897\":837,\"_112\":843,\"_59\":141,\"_838\":902},{\"_112\":132},\"searchParams\",{},\"Despite the transformative potential of AI, its rise may exacerbate data center e-waste. Discover strategies to mitigate this growing environmental concern.\",\"AI’s Impact on Data Center E-Waste and How to Mitigate the Problem\",\"authoredBy\",\"authoredOn\",\"oldUrl\",\"readTime\",\"panelsModule\",\"newsletterSignUpPromo\",{\"_112\":914,\"_773\":915,\"_916\":917,\"_774\":918,\"_191\":194,\"_919\":920},\"Subscribe to the Data Center Knowledge Newsletter\",\"Get analysis and expert insight on the latest in data center business and technology delivered to your inbox daily.\",\"newsletterId\",\"blt1e535db6f3d3256f\",\"Newsletter Sign-Up\",\"mode\",\"dark\",\"resourcesModule\",\"embedModule\",\"socialShare\",[925,927,929,931,934,937],{\"_88\":89,\"_59\":926},\"http://www.facebook.com/sharer/sharer.php?u=https://www.datacenterknowledge.com/green-materials/ai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem\",{\"_88\":95,\"_59\":928},\"https://www.linkedin.com/sharing/share-offsite/?url=https://www.datacenterknowledge.com/green-materials/ai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem\",{\"_88\":92,\"_59\":930},\"http://www.twitter.com/intent/tweet?url=https://www.datacenterknowledge.com/green-materials/ai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem\",{\"_88\":932,\"_59\":933},\"Reddit\",\"https://www.reddit.com/submit?url=https://www.datacenterknowledge.com/green-materials/ai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem\u0026title=AI%E2%80%99s%20Impact%20on%20Data%20Center%20E-Waste%20and%20How%20to%20Mitigate%20the%20Problem\",{\"_88\":935,\"_59\":936},\"Email\",\"mailto:?subject=AI’s Impact on Data Center E-Waste and How to Mitigate the Problem\u0026body=I%20thought%20the%20following%20from%20DataCenterKnowledge%20might%20interest%20you.%0D%0A%0D%0A%20AI%E2%80%99s%20Impact%20on%20Data%20Center%20E-Waste%20and%20How%20to%20Mitigate%20the%20Problem%0D%0Ahttps%3A%2F%2Fwww.datacenterknowledge.com%2Fgreen-materials%2Fai-s-impact-on-data-center-e-waste-and-how-to-mitigate-the-problem\",{\"_88\":938,\"_59\":892},\"Print\",\"publishedDate\",\"2024-07-15T13:41:49.000Z\",\"keywords\",[943],{\"_59\":944,\"_112\":945},\"/keyword/green-it\",\"Green IT\",\"atAGlance\",[],\"bodyJson\",[950,963,976,980,987,1000,1013,1015,1020,1028,1041,1054,1056,1068,1073,1078,1083,1104,1109,1114,1135,1137,1149,1162,1167],{\"_88\":860,\"_861\":951,\"_865\":952},{\"_863\":864},[953,955,961],{\"_88\":868,\"_868\":954},\"Electronic waste (e-waste) has long been a challenge for data center operators concerned about environmental sustainability and social responsibility. However, the ongoing \",{\"_88\":868,\"_871\":956,\"_868\":960},[957],{\"_88\":181,\"_861\":958},{\"_5\":959,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/ai-data-centers/afcom-ai-boom-fueling-data-center-construction-design-innovation\",\"boom surrounding AI\",{\"_88\":868,\"_868\":962},\" could make the data center e-waste problem even worse.\",{\"_88\":860,\"_861\":964,\"_865\":965},{\"_863\":864},[966,968,974],{\"_88\":868,\"_868\":967},\"That’s why now is the time for data center operators, as well as businesses that deploy AI workloads inside data centers, to start thinking about \",{\"_88\":868,\"_871\":969,\"_868\":973},[970],{\"_88\":181,\"_861\":971},{\"_5\":972,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/green-materials/cisco-incentivizes-partners-to-recycle-ewaste-responsibly\",\"e-waste management\",{\"_88\":868,\"_868\":975},\" strategies. By getting ahead of the issue, they can reduce the amount of AI infrastructure that results in e-waste.\",{\"_88\":977,\"_978\":979},\"ad\",\"pos\",\"300_1v_article\",{\"_88\":981,\"_861\":982,\"_865\":984},\"heading\",{\"_863\":864,\"_983\":349},\"level\",[985],{\"_88\":868,\"_868\":986},\"Data Center E-Waste: The Basics\",{\"_88\":860,\"_861\":988,\"_865\":989},{\"_863\":864},[990,992,998],{\"_88\":868,\"_868\":991},\"E-waste is any type of electronic product that is no longer in use and could potentially harm the environment. The \",{\"_88\":868,\"_871\":993,\"_868\":997},[994],{\"_88\":181,\"_861\":995},{\"_5\":996,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/infrastructure/data-center-hardware\",\"equipmen\",{\"_88\":868,\"_868\":999},\"t that data centers house – such as servers, network switches, and power supply units – can contain chemicals like lead and mercury. This means the equipment has the potential to become e-waste when it’s no longer in use.\",{\"_88\":860,\"_861\":1001,\"_865\":1002},{\"_863\":864},[1003,1005,1011],{\"_88\":868,\"_868\":1004},\"E-waste is bad from an \",{\"_88\":868,\"_871\":1006,\"_868\":1010},[1007],{\"_88\":181,\"_861\":1008},{\"_5\":1009,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/sustainability/data-center-sustainability-green-solutions-future\",\"environmental sustainability\",{\"_88\":868,\"_868\":1012},\" perspective because dangerous compounds inside data center equipment can leach into the natural environment, potentially harming plants, animals, and humans. It can also negatively impact people in developing nations, which often become the final destination for discarded IT equipment.\",{\"_88\":977,\"_978\":1014},\"native_1v\",{\"_88\":981,\"_861\":1016,\"_865\":1017},{\"_863\":864,\"_983\":349},[1018],{\"_88\":868,\"_868\":1019},\"Will AI Make E-Waste Worse?\",{\"_88\":1021,\"_865\":1022,\"_112\":1027},\"relatedArticle\",[1023],{\"_112\":1024,\"_59\":1025,\"_876\":1026},\"Navigating Scope 3 Emissions for Sustainable Data Center Operations\",\"/sustainability/navigating-scope-3-emissions-for-sustainable-data-center-operations\",\"_self\",\"Related\",{\"_88\":860,\"_861\":1029,\"_865\":1030},{\"_863\":864},[1031,1033,1039],{\"_88\":868,\"_868\":1032},\"As with many tech sectors, data centers have contributed to e-waste for decades. But this challenge could grow, as more and more businesses seek to take advantage of AI – especially \",{\"_88\":868,\"_871\":1034,\"_868\":1038},[1035],{\"_88\":181,\"_861\":1036},{\"_5\":1037,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/ai-data-centers/rise-of-generative-ai-and-its-impact-on-the-data-center-sector\",\"generative AI\",{\"_88\":868,\"_868\":1040},\".\",{\"_88\":860,\"_861\":1042,\"_865\":1043},{\"_863\":864},[1044,1046,1052],{\"_88\":868,\"_868\":1045},\"The reason why is that generative AI applications and services must undergo a process called training, which involves parsing vast quantities of data to recognize patterns. Training typically takes place using servers equipped with \",{\"_88\":868,\"_871\":1047,\"_868\":1051},[1048],{\"_88\":181,\"_861\":1049},{\"_5\":1050,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/build-design/graphics-processing-unit-gpu-\",\"Graphical Processing Units\",{\"_88\":868,\"_868\":1053},\", or GPUs. GPUs are much faster for training than traditional CPUs because GPUs have a higher parallel computing capacity, which means they can process more data at the same time.\",{\"_88\":977,\"_978\":1055},\"video_v\",{\"_88\":860,\"_861\":1057,\"_865\":1058},{\"_863\":864},[1059,1061,1066],{\"_88\":868,\"_868\":1060},\"In most cases, \",{\"_88\":868,\"_871\":1062,\"_868\":407},[1063],{\"_88\":181,\"_861\":1064},{\"_5\":1065,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/next-gen-data-centers/ai-data-centers\",{\"_88\":868,\"_868\":1067},\" training is a temporary or one-off process. Once an AI model has completed its training, it doesn't need to train again, unless its developers want to “teach” it new information. This means that training generative AI models is likely to result in the deployment of GPU-enabled servers for which there is not sustained demand.\",{\"_88\":860,\"_861\":1069,\"_865\":1070},{\"_863\":864},[1071],{\"_88\":868,\"_868\":1072},\"After the training ends – in other words, after companies get AI models up and running – there will be less need for that hardware because there aren't many use cases for GPUs inside a data center beyond AI training, and most organizations won’t need to retrain on a frequent basis.\",{\"_88\":1021,\"_865\":1074,\"_112\":1027},[1075],{\"_112\":1076,\"_59\":1077,\"_876\":1026},\"Could Algae Be the Key to Data Center Sustainability?\",\"/sustainability/could-algae-be-the-key-to-data-center-sustainability-\",{\"_88\":860,\"_861\":1079,\"_865\":1080},{\"_863\":864},[1081],{\"_88\":868,\"_868\":1082},\"From an e-waste perspective, this has the potential to result in a number of GPUs – or entire GPU-enabled servers – with decidedly short lifetimes. They’ll still function but may become obsolete due to lack of demand.\",{\"_88\":860,\"_861\":1084,\"_865\":1085},{\"_863\":864},[1086,1088,1094,1096,1103],{\"_88\":868,\"_868\":1087},\"A similar story has already played out in the \",{\"_88\":868,\"_871\":1089,\"_868\":1093},[1090],{\"_88\":181,\"_861\":1091},{\"_5\":1092,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/ai-data-centers/bitcoin-miners-pivot-to-data-center-operations-amid-ai-boom\",\"cryptocurrency mining\",{\"_88\":868,\"_868\":1095},\"v realm – where GPUs and other specialized hardware are also important because they're often used for mining operations. Because equipment manufactured for cryptocurrency mining serves virtually no other useful purposes, much of it has \",{\"_88\":868,\"_871\":1097,\"_868\":1102},[1098],{\"_88\":181,\"_861\":1099},{\"_5\":1100,\"_876\":877,\"_878\":1101,\"_879\":-5},\"https://www.sciencedirect.com/science/article/abs/pii/S0921344921005103\",\"nofollow\",\"become e-waste\",{\"_88\":868,\"_868\":1040},{\"_88\":981,\"_861\":1105,\"_865\":1106},{\"_863\":864,\"_983\":349},[1107],{\"_88\":868,\"_868\":1108},\"Mitigating Data Center E-Waste Caused by AI\",{\"_88\":860,\"_861\":1110,\"_865\":1111},{\"_863\":864},[1112],{\"_88\":868,\"_868\":1113},\"The good news is that there are ways to avoid a massive uptick in data center e-waste caused by AI training.\",{\"_88\":860,\"_861\":1115,\"_865\":1116},{\"_863\":864},[1117,1119,1125,1127,1133],{\"_88\":868,\"_868\":1118},\"One key step is for businesses to share AI training servers. Rather than purchasing their own GPU-equipped servers for training, companies can opt for \",{\"_88\":868,\"_871\":1120,\"_868\":1124},[1121],{\"_88\":181,\"_861\":1122},{\"_5\":1123,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/cloud/gpu-as-a-service-what-it-pros-need-to-know\",\"GPU-as-a-Service\",{\"_88\":868,\"_868\":1126},\" offerings, which essentially let them rent GPUs. When they’re done training, the GPUs can then be used by another business that has a model to train. That's much more \",{\"_88\":868,\"_871\":1128,\"_868\":1132},[1129],{\"_88\":181,\"_861\":1130},{\"_5\":1131,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/sustainability/green-materials\",\"sustainable\",{\"_88\":868,\"_868\":1134},\" – not to mention more cost-effective – than owning GPU-enabled servers that don't require continuous use.\",{\"_88\":977,\"_978\":1136},\"native_2v\",{\"_88\":860,\"_861\":1138,\"_865\":1140},{\"_863\":1139},\"center\",[1141],{\"_88\":868,\"_871\":1142,\"_868\":1148},[1143,1146],{\"_88\":181,\"_861\":1144},{\"_5\":1145,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/sustainability\",{\"_88\":1147},\"bold\",\"Read more of the latest data center sustainability news\",{\"_88\":860,\"_861\":1150,\"_865\":1151},{\"_863\":864},[1152,1154,1160],{\"_88\":868,\"_868\":1153},\"Opting to \",{\"_88\":868,\"_871\":1155,\"_868\":1159},[1156],{\"_88\":181,\"_861\":1157},{\"_5\":1158,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/ai-data-centers/why-ai-workloads-probably-won-t-transform-the-data-center-industry\",\"use pre-trained models instead of building models\",{\"_88\":868,\"_868\":1161},\" from scratch is another way to help mitigate the e-waste risk of AI. A growing number of models are available from open source projects that have already been trained, eliminating the need for specialized data center infrastructure of any type.\",{\"_88\":1021,\"_865\":1163,\"_112\":1027},[1164],{\"_112\":1165,\"_59\":1166,\"_876\":1026},\"Amazon Says Its Carbon Emissions Fell in 2023 Amid Post-Pandemic Pullback\",\"/sustainability/amazon-says-its-carbon-emissions-fell-in-2023-amid-post-pandemic-pullback\",{\"_88\":860,\"_861\":1168,\"_865\":1169},{\"_863\":864},[1170,1172,1178],{\"_88\":868,\"_868\":1171},\"Companies should also, of course, make sure they properly \",{\"_88\":868,\"_871\":1173,\"_868\":1177},[1174],{\"_88\":181,\"_861\":1175},{\"_5\":1176,\"_876\":877,\"_878\":-5,\"_879\":-5},\"https://www.datacenterknowledge.com/green-materials/the-green-grid-s-new-metric-tackles-it-recycling\",\"recycle\",{\"_88\":868,\"_868\":1179},\" or dispose of AI servers when they no longer need them. 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