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#hyperscale — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #hyperscale, aggregated by home.social.

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  1. 🎉 Behold the Cerebras CS4: the Faster-Than-Fast AI Accelerator! 🚀 Because, clearly, what the world needs now is an even speedier way of overhyping silicon wafers with a sprinkle of marketing pixie dust 🤦‍♂️. Who knew AI needed all those #hyperscale buzzwords to truly shine? 🥳
    cerebras.ai/cs4 #CerebrasCS4 #AIaccelerator #TechNews #SiliconWafer #MarketingBuzz #HackerNews #ngated

  2. Screeeeecccch! 😱 But don't worry, gentle residents. #Hyperscale has offered to buy your homes! smh

    This Viral #Datacenter Sounds Like Satan’s Buzzsaw

    My God, the looks on the faces of the people who have to live next to this...

    By Mike Pearl
    Published July 27, 2026,

    "Obviously in a news report, it’s impossible to truly judge exactly how the noise sounds from inside one of these homes, but there’s a revealing moment starting at the 2 minute and 10 second mark in the video. The screech is followed by a shot of Marjorie Finn, who’s been hearing this noise nonstop for years, and that experience looks to be indelibly etched on her face. Duffy asks her how her life has changed since the sound started, and the pause before she answers says everything."

    gizmodo.com/this-viral-data-ce?

    Link to video:
    youtube.com/watch?v=9wDr2dec47

    #CryptoMining #Datacenters #Cyptocurrency #NoisePollution #BigData #Michigan

  3. Je travaille à un texte sur les limites du concept de souveraineté numérique voulue par les États. Voulant y faire un portrait de base de la situation des "centres de données", je réalise assez vite que c'est une question beaucoup plus complexe que je croyais, parce que la terminologie varie d'une compagnie à l'autre, parce qu'elles sous-traitent une partie à d'autres compagnies, etc.

    Si vous connaissez une bonne source d'information à ce sujet, je suis preneur !

    #datacenter #hyperscale

  4. Wait, what..? Something both the #Left and #Right can agree on?!! Maybe the right is waking up to #CorporateColonialism! Good! Our #CorporateOverlords take advantage of everyone!

    #Datacenter opponents stage 142 #protests across 42 US states

    Story by Valerie Volcovici and Lisa Baertlein, July 18, 2026

    Excerpt: "Opponents of the rapid buildout of #datacenters held 142 protests across 42 states on Saturday in the first nationwide effort to channel anger at the #AI infrastructure expansion that has ramped up over the past year and roiled local politics.

    "The protests were coordinated by #HumansFirst, co-founded by a former leader of the modern-day #TeaParty. She compares growing opposition to data centers to the right-wing populist movement that emerged in 2009 to protest what it saw as excessive taxation and government overreach.

    "Protesters rallied against what HumansFirst calls the 'unaccountable' buildout of #datacenters and 'unacceptable infringement on our liberty.'

    "In #FredericksburgVA, one young man carried a sign reading, 'We thrive on water not data.' In #AtlantaGA, a small knot of protesters wielded signs reading, '#Georgia never voted for #hyperscale #AIDatacenters. ' "

    Read more:
    msn.com/en-us/politics/governm

    #ResistBigData #BigTech #BigData #USPol #DatacentersSuck
    #NoisePollution #LightPollution
    #ElectricityConsumption #Secrecy #AISucks

  5. As enthusiasts and skeptics argue over the environmental implications of hyperscale data centers, the impact on wealth distribution gets left out.

    "AI companies have their eyes set on capturing all the value created by entire industries."

    Let that sink in. How does indentured servitude sound? Digital serfdom, feudalism? Keep bickering over closed-loop though.

    theguardian.com/commentisfree/

    #Hyperscale #DataCenters #AI #BigTech #WealthInequality

  6. I'm thrilled to share that my new book #HYPERSCALE is hitting bookstores on October 20. You can preorder it now!

    It's an account of how the data center boom is pushing our planet past its breaking point, and of the incredible efforts of people and movements pushing back against the profit-driven interests of Big Tech.

    Get your copy and learn more: hyperscalebook.com/

    #techindustry #techbook #newbook #reading #datacenter #datacenters #generativeai #politics #artificialintelligence

  7. Now available at your local store.

    Chip Creek™

    Ran through Amazonian data center forests.

    Fuel for your brain.

    $129.99.

    Premium AI hydration isn't for everyone.

    #AI #DataCenters #CloudComputing #ArtificialIntelligence #LLM #WaterCooling #Hyperscale #TechHumor #DeveloperLife

  8. Press Release: Rising #Emissions, Depleting #Water and Vanishing #Land—UN Scientists: #AI Is Threatening #NaturalResources for Billions

    By 2030, AI's water use will match the needs of 1.3 billion people while its power use triples that of 650 million, UN University investigation warns

    Date Published
    3 Jun 2026

    Excerpt: "Inference, efficiency, and the rebound effect

    "Public discussion has largely focused on the energy required to train massive models. Training GPT-3 was estimated to require 1.3 gigawatt-hours (GWh) of electricity, while estimates suggest GPT-4 consumed between 50 and 70 GWh. However, the report reveals this framing is outdated. Once a model is deployed, inference—the continuous running of models to answer everyday user prompts—becomes the dominant cost, accounting for 80 to 90 per cent of total #AI energy use. ChatGPT alone is estimated to process around 2.5 billion prompts per day, translating to roughly 383 GWh of electricity per year for a single product. Offsetting associated carbon emissions would require 2.6 million tree seedlings grown for 10 years, enough trees to cover a land area the size of Manhattan. The water footprint is equivalent to the minimum annual domestic water needs of roughly 500,000 people in Sub-Saharan Africa, and the land footprint is equal to over 800 football fields."

    Read more:
    unu.edu/inweh/news/environment

    #AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
    #DatacenterMoratoriums #ArtificialIntelligence

  9. The #EnvironmentalCost of #ArtificialIntelligence: #Carbon, #Water, and #LandFootprints

    #AI’s rapid growth drives huge energy, water, and land use, raising environmental and equity challenges across its global infrastructure.

    Date Published 3 Jun 2026

    UNU-INWEH Report: Aczel, M., Chamanara, S., Matin, M., Farsi, A., Marwala, T., Madani, K. (2026).

    "This report, Environmental Cost of Artificial Intelligence: Carbon, Water and Land Footprints, by the #UnitedNationsUniversity Institute for Water, Environment and Health ( #UNU - #INWEH ) on its 30th anniversary, examines one of the most underexplored consequences of AI’s rapid expansion: the environmental footprints of the energy required to power it. As artificial intelligence becomes embedded in economies, public services, research, communication, and everyday life, it depends on a growing physical infrastructure of #datacenters, advanced #chips, #CoolingSystems, #ElectricityGrids, #WaterResources, land, and #CriticalMineral supply chains. The report shows that AI is not only a digital technology, but also a material system with measurable #EnvironmentalCosts.

    "The report moves beyond a carbon-only lens by quantifying the carbon, water, and land footprints associated with the electricity used to train, deploy, and operate AI systems at scale. Its central finding is that AI’s environmental costs depend not only on how much electricity is used, but also on where that electricity is generated and which energy sources power it. Every kilowatt-hour used by AI carries carbon, water, and land implications, and these footprints do not always move in the same direction: low-carbon electricity is not automatically low-water or low-land. The report also shows that AI’s footprint is shaped by both major infrastructure trends, including the rapid growth of data centers, and everyday use patterns, including model choice, output length, modality, and the growing use of text, image, and video generation.

    "Importantly, the report frames AI’s environmental footprint as a governance and justice challenge, not only a technical problem. The benefits of AI often flow across borders and sectors, while the environmental burdens of data center siting, electricity demand, water withdrawals, #LandUse, MineralExtraction, and #EWaste can be concentrated in specific communities and regions. To address these risks, the report calls for a responsible AI ecosystem grounded in transparency, efficiency by design, equity and #EnvironmentalJustice, lifecycle responsibility, global cooperation, and sustainable use. By making AI’s carbon, water, and land footprints visible and comparable, the report provides a practical basis for integrating AI into energy, climate, water, and land-use planning, ensuring that innovation advances without shifting environmental costs onto vulnerable communities."

    Download PDF:
    unu.edu/inweh/collection/envir

    #AIBoom #Electricity #Hyperscale #BigTech #BigData #CarbonFootprint #EnvironmentalRacism #EnvironmentalDegradation #NoisePollution #LightPollution #WaterIsLife #AIAgents #BotTraffic #GreenSpaces #Farmland #Prairies #Woodland #TechGiants #ProtectNature #NoDatacenters #EnergyConsumption #USPol #WorldPol #Datacentres
    #DatacenterMoratoriums

  10. The #AI boom is gobbling up power faster than ever

    By Hannah Beckler, June 7, 2026

    Excerpt: "The data center boom is accelerating.

    "A Business Insider analysis of US data center permits reveals a staggering escalation in data center power use. Data centers across the US are growing in number and in size. If all data centers permitted through 2025 come online, they will use between 224.3 terawatt-hours and 358.8 terawatt-hours of electricity annually, an increase of 50% over the previous year across the range, Business Insider's analysis found.

    "At the midpoint, that's more than all the #electricity used by any one US state in 2024, except Texas.

    "The vast majority of this power use is driven by #hyperscale data centers, mammoth facilities that use 40 megawatts or more each, Business Insider estimates.

    "#TechGiants have an insatiable appetite for more computing power to fund their AI ambitions. In 2025, permits were issued for 176 new data centers across 34 states — the most new permits in one year since the first was issued in 1976, Business Insider found. Many of them are mammoth facilities destined for rural areas — enormous complexes blanketing #prairies, #GreenSpaces, and #farmland.

    "#AmazonCorp's planned 14-building data center complex in #RidgelandMS, would transform nearly 800 acres of rural #woodland. In the village of #MountPleasantWI, Microsoft's nine data center buildings would command a collective footprint of over 5.2 million square feet built on a property nearly the size of New York City's Central Park, according to planning documents. And just outside #EagleMountainOT, #QTS — one of the nation's biggest data center operators — is building one that is expected to demand between 1.9 and 3 terawatt-hours a year once fully online, according to Business Insider's estimate. On average, that's the same amount of electricity used by 227,000 US homes.

    "The race by tech companies to reach ever-greater AI ambitions has sparked a sweeping backlash from local residents and state and local officials wary of #Datacenter impacts on the #environment, economy, and #communities. And development-friendly lawmakers could face a reckoning in this year's #midterms, in which data centers are emerging as a key issue for many voters."

    businessinsider.com/us-ai-data

    Archived version:
    archive.ph/hJXeS

    #NoDatacenters #AIBoom #EnergyConsumption #NoisePollution #LightPollution #WaterIsLife #USPol #USMidTerms #Elections2026 #Datacentres #DatacenterMoratoriums #BigData #BigTech

  11. We are still around!

    For those looking for #CentOSHyperscale meeting minutes, and wondering why nothing has been published since 2024 ... I have now automated the process of pulling meeting minutes from #Fedora's Meetbot service with #sandogasa's new `hs-meetings` tool

    sigs.centos.org/hyperscale/com

    gitlab.com/CentOS/Hyperscale/d

    #CentOS #CentOS_Stream #SIG #Hyperscale

  12. Scientists have found an alarming #EnvironmentalImpact of vast #DataCenters

    Story by Laura Paddison, March 30, 2026

    Excerpt: "They found surface temperatures increased by an average of 3.6 degrees Fahrenheit after a data center started operations. In extreme cases, nearby temperatures increase by up to 16.4 degrees Fahrenheit.

    "These increases were consistent across the globe, the researchers found. In #Mexico’s #Bajio region, for example, which has become a data center hub, the study found unexplained temperature rises of around 3.6 degrees over the last 20 years. A similar situation was seen in #AragonSpain, a European center for #hyperscale #AIDataenters, which recorded a temperature increase of 3.6 degrees which was not replicated in neighboring provinces.

    "Strikingly, the impacts weren’t limited to a data center’s immediate surroundings; temperature increases affected areas up to 6.2 miles away, the research found, affecting more than 340 million people.

    "The findings are particularly alarming, the scientists say, because AI data centers are set to boom over the next few years, and these temperature rises come as planet-warming pollution is already making #HeatWaves more extreme around the world."

    Read more:
    ctvnews.ca/climate-and-environ

    #HeatIslands #DataCenterMoratorium #GlobalWarming #NoisePollution #AISucks #SurveillanceState #NoDatacenters #HyperscaleDatacenters

  13. A lot of people at work and at home have information in the "cloud." Between hyperscaler and edge data centers, this information can be stored and used in different and quicker ways to the scale needed by the client/customer. #hyperscale #edgedatacenter #cloud #information #data

  14. #Datacenters planned for #Scotland could drain a loch of power, collectively requiring 75 percent as much energy as the entire country currently consumes, according to tech campaign group Foxglove.
    The nonprofit says its research indicates that 11 #hyperscale bit barns planned for construction across Scotland (bit bothies?) would require a total of 2,000 to 3,000 MW of electricity to operate, while the current peak demand for the country is 4 gigawatts (4,000 MW).
    theregister.com/2025/12/04/sco

  15. Swiss Data Protection Group Says #US #Cloud Giants Can't Meet #Privacy Standards
    #privatim identified five critical problems:
    Most #SaaS solutions lack #endtoendencryption.
    Global companies offer insufficient transparency for compliance verification.
    Cloud services create significant loss of control over data.
    Legal uncertainty exists for data under confidentiality obligations.
    US #CLOUDAct allows data access regardless of storage location.
    itsfoss.com/news/privatim-decl
    #hyperscale #AWS #Google #Azure