{"id":406,"date":"2025-08-22T15:59:38","date_gmt":"2025-08-22T13:59:38","guid":{"rendered":"https:\/\/alain.goudey.eu\/side\/?p=406"},"modified":"2025-08-22T18:12:04","modified_gmt":"2025-08-22T16:12:04","slug":"empreinte-environnementale-ia-consommation-energetique","status":"publish","type":"post","link":"https:\/\/alain.goudey.eu\/side\/2025\/08\/22\/empreinte-environnementale-ia-consommation-energetique\/","title":{"rendered":"L\u2019empreinte r\u00e9elle de l\u2019IA g\u00e9n\u00e9rative : entre goutte d\u2019eau et oc\u00e9an ?!"},"content":{"rendered":"\n

Contexte de l’empreinte environnementale IA<\/h2>\n\n\n\n

Depuis quelques ann\u00e9es, le d\u00e9bat sur l\u2019empreinte environnementale IA (impact \u00e9cologique de l\u2019intelligence artificielle) s\u2019est focalis\u00e9 sur l\u2019entra\u00eenement des mod\u00e8les, pr\u00e9sent\u00e9 comme un gouffre \u00e9nerg\u00e9tique. Mais \u00e0 mesure que l\u2019usage explose avec des milliards de requ\u00eates envoy\u00e9es chaque jour \u00e0 ChatGPT, Gemini, Mistral et consorts, c\u2019est d\u00e9sormais l\u2019inf\u00e9rence, autrement dit la phase d\u2019utilisation, qui concentre l\u2019essentiel des impacts.
Comme pour une voiture : la fabrication est lourde, mais ce sont les kilom\u00e8tres parcourus qui p\u00e8sent dans la dur\u00e9e.<\/p>\n\n\n\n

\"empreinte<\/figure>\n\n\n\n

Ce que disent les chiffres<\/h2>\n\n\n\n

Les donn\u00e9es r\u00e9centes publi\u00e9es par Mistral AI<\/a> et G<\/a>oogle Gemini<\/a> permettent de comparer enfin les impacts marginalement (par requ\u00eate) et globalement (\u00e0 l\u2019\u00e9chelle plan\u00e9taire).<\/p>\n\n\n\n

\"empreinte<\/figure>\n\n\n\n
    \n
  • Mistral Large 2<\/strong> (400 tokens, soit une page de texte) :\n
      \n
    • 1,14 g de CO\u2082e<\/strong><\/li>\n\n\n\n
    • 0,05 L d\u2019eau<\/strong><\/li>\n\n\n\n
    • 0,2 mg d\u2019antimoine \u00e9quivalent<\/strong> (mat\u00e9riaux)
      => Des ordres de grandeur comparables \u00e0 10 secondes de streaming vid\u00e9o, la croissance d\u2019un petit radis ou la production d\u2019une pi\u00e8ce de 2 centimes.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
    • Google Gemini (2025)<\/strong> :\n
        \n
      • 0,24 Wh par requ\u00eate<\/strong>, soit l\u2019\u00e9quivalent de 9 secondes de t\u00e9l\u00e9vision<\/li>\n\n\n\n
      • 0,03 g de CO\u2082e<\/strong><\/li>\n\n\n\n
      • 0,26 mL d\u2019eau<\/strong> (5 gouttes)
        => Google revendique une r\u00e9duction par 44 de l\u2019empreinte carbone par prompt en un an, gr\u00e2ce \u00e0 des optimisations logicielles et mat\u00e9rielles.<\/li>\n<\/ul>\n<\/li>\n\n\n\n
      • La vraie difficult\u00e9 reste la mesure : <\/strong>
        Selon la m\u00e9thodologie retenue (GPU seul, CPU + m\u00e9moire, serveurs en veille, refroidissement des data centers), les \u00e9valuations varient de 0,1 Wh \u00e0 3 Wh par requ\u00eate. Ces \u00e9carts montrent \u00e0 quel point les fronti\u00e8res de mesure restent floues et doivent \u00eatre harmonis\u00e9es.<\/li>\n<\/ul>\n\n\n\n

        Les vrais enjeux<\/h2>\n\n\n\n
          \n
        1. Marginalement, l\u2019impact est infime<\/strong>
          Une requ\u00eate \u00e9quivaut \u00e0 quelques secondes de streaming vid\u00e9o. \u00c0 l\u2019\u00e9chelle d\u2019un individu, difficile d\u2019y voir un gouffre \u00e9cologique.<\/li>\n\n\n\n
        2. L\u2019effet boule de neige est toutefois consid\u00e9rable<\/strong>
          Avec des centaines de milliards de prompts par an, l\u2019addition devient lourde. L\u2019impact global d\u00e9pend alors :\n
            \n
          • du mix \u00e9nerg\u00e9tique<\/strong> des data centers (charbon vs. nucl\u00e9aire vs. renouvelables),<\/li>\n\n\n\n
          • de la taille des mod\u00e8les<\/strong> mobilis\u00e9s (un mod\u00e8le g\u00e9ant consomme bien plus qu\u2019un mod\u00e8le sp\u00e9cialis\u00e9),<\/li>\n\n\n\n
          • et des gestes d\u2019usage<\/strong> (pr\u00e9cision des prompts, sobri\u00e9t\u00e9 des \u00e9changes).<\/li>\n<\/ul>\n<\/li>\n\n\n\n
          • La transparence est essentielle<\/strong>
            Les \u00e9carts de x10 entre \u00e9tudes illustrent la fragilit\u00e9 du d\u00e9bat public tant que les m\u00e9thodologies ne sont pas align\u00e9es.<\/li>\n<\/ol>\n\n\n\n

            Conclusion sur l’empreinte environnementale IA<\/h2>\n\n\n\n

            L\u2019IA g\u00e9n\u00e9rative n\u2019est pas le monstre \u00e9nerg\u00e9tique que certains d\u00e9crivent : \u00e0 l\u2019\u00e9chelle d\u2019un utilisateur, son empreinte est \u00e9quivalente \u00e0 quelques secondes de vid\u00e9o en ligne. Mais multipli\u00e9 par des millions d\u2019usagers, chaque jour, l\u2019effet cumulatif devient un enjeu environnemental majeur.
            La r\u00e9ponse repose sur deux leviers :<\/p>\n\n\n\n

              \n
            • des choix industriels responsables (<\/strong>infrastructures sobres, \u00e9nergies bas carbone, mod\u00e8les adapt\u00e9s),<\/li>\n\n\n\n
            • et une sobri\u00e9t\u00e9 d\u2019usage c\u00f4t\u00e9 utilisateurs (formuler des requ\u00eates pr\u00e9cises, \u00e9viter les \u00e9changes superflus).<\/li>\n<\/ul>\n\n\n\n

              En clair, l\u2019IA est \u00e9cologiquement l\u00e9g\u00e8re \u00e0 l\u2019\u00e9chelle individuelle, mais lourde \u00e0 l\u2019\u00e9chelle collective. Et c\u2019est bien l\u00e0 que se joue l\u2019avenir de son int\u00e9gration durable.<\/p>\n\n\n\n

              FAQ \u2013 IA et empreinte environnementale<\/h2>\n\n\n\n

              Combien d\u2019\u00e9nergie consomme une requ\u00eate d\u2019IA g\u00e9n\u00e9rative ?<\/strong>
              Environ 0,1 \u00e0 0,3 Wh selon les mod\u00e8les, soit \u00e0 peine 9 secondes de t\u00e9l\u00e9vision.<\/p>\n\n\n\n

              Quelle est la consommation en eau d\u2019un prompt ?<\/strong>
              Quelques gouttes (0,2 \u00e0 0,3 mL), loin des dizaines de millilitres \u00e9voqu\u00e9s par d\u2019anciennes \u00e9tudes.<\/p>\n\n\n\n

              L\u2019entra\u00eenement ou l\u2019usage, qu\u2019est-ce qui p\u00e8se le plus ?<\/strong>
              Autrefois l\u2019entra\u00eenement, mais aujourd\u2019hui, avec l\u2019explosion des usages, c\u2019est l\u2019inf\u00e9rence qui domine.<\/p>\n\n\n\n

              Comment r\u00e9duire l\u2019impact de l\u2019IA ?<\/strong><\/p>\n\n\n\n

                \n
              • Privil\u00e9gier des mod\u00e8les plus petits adapt\u00e9s \u00e0 la t\u00e2che.<\/li>\n\n\n\n
              • Formuler des prompts courts et cibl\u00e9s.<\/li>\n\n\n\n
              • Choisir des fournisseurs misant sur des data centers sobres et aliment\u00e9s en \u00e9nergies renouvelables.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                Contexte de l’empreinte environnementale IA Depuis quelques ann\u00e9es, le d\u00e9bat sur l\u2019empreinte environnementale IA (impact \u00e9cologique de l\u2019intelligence artificielle) s\u2019est focalis\u00e9 sur l\u2019entra\u00eenement des mod\u00e8les, … <\/p>\n","protected":false},"author":1,"featured_media":410,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25],"tags":[128,129,127,49,5],"class_list":["post-406","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethique","tag-ecologie","tag-empreinte-environnementale","tag-environnement","tag-ia","tag-intelligence-artificielle"],"yoast_head":"\nL\u2019empreinte r\u00e9elle de l\u2019IA g\u00e9n\u00e9rative : entre goutte d\u2019eau et oc\u00e9an ?! - SIDE Blog<\/title>\n<meta name=\"description\" content=\"Une requ\u00eate \u00e0 ChatGPT consomme autant qu\u2019une poign\u00e9e de secondes sur Netflix. 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