@kawmakhtar:

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Sunday 11 October 2026 23:07:10 GMT
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maurice_mukete
Maurice Mukete🇨🇩🇹🇳 :
Quel livre 😁😂
2026-10-13 00:24:14
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iiakdxqh.mychariow.com
Excellence de l'ombre :
suite pour ce jore de contenu
2026-10-12 20:24:26
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richards8414
Richards :
Tu es bon
2026-10-12 09:45:41
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bensonbacken
Backen 999 :
👀
2026-10-12 15:29:19
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katad66
@Katad emmanue12l :
😂😂😂
2026-10-12 05:22:02
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alphai222
Alpha N’dita fouta :
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2026-10-12 03:19:55
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Mohammed amine Tehar :
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2026-10-12 05:56:44
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adamali5985
ADAM ALI598 :
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2026-10-12 11:24:47
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salam.oummou
Salam Oummou :
❤️❤️❤️❤️💪💪💪
2026-10-13 22:31:32
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The rapid expansion of artificial intelligence data centers has triggered an unprecedented surge in global electricity demand, presenting a severe threat to climate goals. Because training and operating massive large language models require intensive computational power from specialized hardware, these facilities consume staggering amounts of power—often rivaling the electricity consumption of entire small nations. To keep up with this insatiable hunger for energy, many grid operators have been forced to delay the retirement of fossil-fuel-fired power plants or even reactivate older coal and gas facilities. This heavy reliance on carbon-intensive energy sources significantly escalates greenhouse gas emissions, actively counteracting worldwide efforts to combat climate change and transition toward a sustainable future.   Beyond their heavy carbon footprint, AI data centers impose an alarming burden on global water resources through both direct cooling requirements and indirect energy generation. Millions of gallons of water are consumed daily to prevent high-performance servers from overheating, much of it lost to evaporation in specialized cooling systems. Furthermore, immense quantities of water are required upstream by power plants to generate the electricity these facilities draw from the grid. This intensive consumption places immense localized pressure on municipal water supplies frequently in regions already grappling with drought and water scarcity threatening local ecosystems, draining regional aquifers, and intensifying competition for vital freshwater resources between tech infrastructure and local communities. #jdvance #datacenters #ai #politics #edit
The rapid expansion of artificial intelligence data centers has triggered an unprecedented surge in global electricity demand, presenting a severe threat to climate goals. Because training and operating massive large language models require intensive computational power from specialized hardware, these facilities consume staggering amounts of power—often rivaling the electricity consumption of entire small nations. To keep up with this insatiable hunger for energy, many grid operators have been forced to delay the retirement of fossil-fuel-fired power plants or even reactivate older coal and gas facilities. This heavy reliance on carbon-intensive energy sources significantly escalates greenhouse gas emissions, actively counteracting worldwide efforts to combat climate change and transition toward a sustainable future.  Beyond their heavy carbon footprint, AI data centers impose an alarming burden on global water resources through both direct cooling requirements and indirect energy generation. Millions of gallons of water are consumed daily to prevent high-performance servers from overheating, much of it lost to evaporation in specialized cooling systems. Furthermore, immense quantities of water are required upstream by power plants to generate the electricity these facilities draw from the grid. This intensive consumption places immense localized pressure on municipal water supplies frequently in regions already grappling with drought and water scarcity threatening local ecosystems, draining regional aquifers, and intensifying competition for vital freshwater resources between tech infrastructure and local communities. #jdvance #datacenters #ai #politics #edit

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