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Building the Infrastructure for Superintelligence. CEO & Founder @ Chapek.IO — 10,000 Modular AI Data Centers, 5.2M GPUs Mission. From Boardrooms to Bare Metal and Beyond.
The AI industry has a dirty secret nobody talks about at conferences. Every foundation model company, every enterprise AI team, every ambitious startup building the future—they're all fighting over the same constrained, overpriced, slow-to-deploy compute infrastructure. AWS charges €98/hour. Google Cloud takes €88. Traditional data centers need 5 years and a billion dollars before generating a single euro of revenue. I decided to fix that. DCXPS deploys containerized, renewable-powered AI data centers in 120 days. 520 NVIDIA GPUs per module. €36/hour—70% cheaper than hyperscalers. The math isn't complicated. The execution is. Before DCXPS, I spent 11+ years inside Hewlett Packard Enterprise designing data center's. cloud and outsourcing Enterprise Architecture for Fortune 500 clients—Deutsche Bank, Volkswagen, T-Systems. Then 12 MW of crypto mining modular facilities. Then an 8 MW AI data center. Each project taught me the same lesson: the grid can't keep up with GPU clusters. The future isn't about waiting for infrastructure—it's about bringing power directly to the compute. DCXPS is the result of that conviction. My approach hasn't changed in 20 years: Technology → Processes → People → Money. In that order. Always. I've co-founded 11 AI startups across the US and Europe, helped architect the trajectory of 100+ companies—several to unicorn status—and now channel everything into building the infrastructure layer upon which superintelligence will emerge. Not because it's trendy. Because someone has to build the rails before the trains can run. If you're working on something that needs serious compute at a price that doesn't require selling your equity—let's talk.
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Cultural Fit Analysis
The candidate's career trajectory shows a strong entrepreneurial spirit and a preference for high-impact, transformative roles, often involving founding or leading new ventures. Their diverse experience across AI, blockchain, finance, and technology sectors indicates adaptability and a broad interest in cutting-edge domains. This profile suggests a fit for dynamic, innovative, and growth-oriented cultures, particularly those focused on technological disruption and strategic investment. However, the target role of 'Security Engineer' is not directly aligned with the candidate's predominantly strategic, investment, and business development background. While there's mention of 'architecting AI systems' and 'blockchain architecture', specific security engineering skills are not detailed.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, problem-solving, and negotiation skills through their extensive C-level and partner roles. Their experience in building and managing teams, driving growth, and navigating complex business environments suggests a high operational fit for senior strategic roles. The descriptions highlight an ability to envision and execute large-scale transformations and manage diverse portfolios.