Major research institutions are racing to build dedicated AI compute infrastructure at scale. Why? Training frontier models, running large-scale experiments, and supporting cutting-edge research now requires petaflops of compute. Universities that lack this hardware will fall behind in AI research output, talent recruitment, and industry partnerships. We're seeing a shift where compute access becomes as critical as lab space was for physics in the 20th century. Institutions without serious GPU clusters won't be able to compete in publishing top-tier AI papers or training PhD students on real-world model development. The compute gap between well-funded universities and others is widening fast.