{"id":2,"date":"2025-06-12T12:11:17","date_gmt":"2025-06-12T12:11:17","guid":{"rendered":"https:\/\/clore-ai.local\/?page_id=2"},"modified":"2025-07-08T17:15:55","modified_gmt":"2025-07-08T17:15:55","slug":"frontpage","status":"publish","type":"page","link":"https:\/\/cointelegraph.com\/sponsored\/clore-ai-decentralized-supercomputing-for-all-powered-by-the-community\/","title":{"rendered":"Home Page"},"content":{"rendered":"
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Decentralized supercomputing for\u00a0all, powered\u00a0by the community<\/b><\/h1>\n\t\t\t\t\t\t

High-performance computing is no longer reserved for Big Tech \u2014 it\u2019s\u00a0on-demand, decentralized and open to all.<\/p>\n<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t\n\t\n\t\n\n\t\n\t\n\t\n\t\"\"\n<\/picture>\n\n<\/section>\n\n\n\n\n\n\n\n\n

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Why does training an AI model still\u00a0feel\u00a0like a\u00a0privilege<\/b>?<\/span><\/h2>\n\n\t\t\t\t\t\t

Compute should be everywhere\u00a0\u2014 yet for many developers, researchers and\u00a0startups, high-performance infrastructure remains frustratingly out of\u00a0reach.<\/p>\n<\/div>\n\t\t\t\t\t\t

Whether it\u2019s a neural network, a\u00a0simulation or 3D\u00a0rendering, every ambitious idea needs GPU power \u2014 and that power is\u00a0still gatekept.<\/p>\n

Centralized providers dominate the\u00a0market, pricing out smaller teams. Long\u00a0queues, inflated fees and rigid setups leave brilliant builders stuck at\u00a0the\u00a0starting line.<\/p>\n

Gartner projects that 80% of global enterprises will boost their AI\u00a0infrastructure budgets by 2026. But who will build with it?<\/p>\n

While hyperscalers serve the giants, real innovation happens in home labs, indie\u00a0studios and small research teams \u2014 those who don\u2019t need complexity; they\u00a0need access.<\/p>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

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Training large-scale AI models can feel like breaking into a\u00a0locked room for\u00a0those not backed by\u00a0venture capital or part of a\u00a0well-funded institution.<\/p>\n

Startups, students and even researchers face a trilemma:<\/p>\n<\/div>\n\t\t\t\t\t\t

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Buying a minimum of $10,000 worth of hardware<\/div>\n\t<\/div>\n\n\t\n\n \n \n \n \n \n \n \n <\/linearGradient>\n \n \n \n \n <\/linearGradient>\n <\/defs>\n<\/svg>\n\n<\/div>\n\n
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Waiting for access through institutional queues<\/div>\n\t<\/div>\n\n\t\n\n \n \n \n \n \n \n \n <\/linearGradient>\n \n \n \n \n <\/linearGradient>\n <\/defs>\n<\/svg>\n\n<\/div>\n\n
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Compromise their models to fit what\u2019s available<\/div>\n\t<\/div>\n\n\t\n\n \n \n \n \n \n \n \n <\/linearGradient>\n \n \n \n \n <\/linearGradient>\n <\/defs>\n<\/svg>\n\n<\/div>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t

In short, it\u2019s not a lack of ideas that holds innovators back \u2014 it\u2019s the lack of accessible computing.<\/strong><\/p>\n<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t

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What if AI infrastructure<\/b> wasn\u2019t just\u00a0for\u00a0the\u00a0few?<\/h2>\n\t\t\t\t\t\t

Clore.ai \u2014 an open GPU marketplace where users set prices for their hardware\u00a0\u2014 enters the stage to transform idle GPU power worldwide into a\u00a0decentralized compute layer accessible to anyone.<\/p>\n

By eliminating traditional restrictions, Clore empowers users to unlock the\u00a0full potential of GPUs while participating in\u00a0a\u00a0community-driven ecosystem.<\/p>\n<\/div>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t

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