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AI’s Growing Pains: Why Data Center Bottlenecks Could Stall the AI Revolution
AI's rapid ascent faces a major hurdle: the infrastructure supporting it. Kevin Pang, an innovation strategist, highlights that hyperscale AI data centers take 3-6 years and $700M-$1.2B to build. Powering these behemoths is a huge challenge; the US grid's slow growth and increasing demand from AI and EVs are creating bottlenecks. Onsite power generation is also becoming crucial, signaling a shift in energy strategy. The AI revolution hinges on tangible resources, making energ
Jul 212 min read


AI Hyperscalers Analysis - the supply chain of AI
Explore the booming AI hyperscaler supply chain, from Nvidia GPUs to massive data centers powering ChatGPT and beyond. As demand soars, even giants like AWS scramble, creating openings for players like CoreWeave. We break down this modern AI factory network and the billions flowing into it.
Jul 63 min read


SWI Group Unveils UK Data Center, Expands AiOnX Platform to Power Europe’s AI and Cloud Surge
SWI Group and Max-Hervé George bet on Europe’s AI boom includes a massive new UK data centre—highlighting how critical infrastructure is racing to keep up with AI demand.
Jun 301 min read
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