Introduction: Pushing the Boundaries of Dense Linear Solves Researchers are tackling a long-standing bottleneck in scientific computing: solving large, dense linear systems efficiently. Traditional single-GPU solvers often hit memory and performance walls as problem sizes grow. A recent advance from Roeland Wiersema of the Center for Computational Quantum Physics at the Flatiron Institute, and his…