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Applied AI·July 21, 2026·1 min read

Why AI is re-designing data center architecture

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AI workloads are forcing a split between legacy enterprise compute and high-density, GPU-heavy designs with very different power, cooling, and networking profiles. If you’re planning AI scale-up, treat data center selection as a first-order architectural decision—not a commodity checkbox on your cloud RFP.

Applied AI

Docs: AI data startup Mercor had $614M in gross revenue in H1 2026, up 70% from all of 2025, with ~91% from foundation model makers like OpenAI and Anthropic

A three-year-old data vendor doing $614 million in H1 revenue — 91% from top model labs — shows that high-quality human feedback is a primary cost center in frontier model training. If you’re not a lab, expect tighter competition and higher prices for the same annotator and evaluator capacity you need for your own systems.