Modern computers include a massively parallel graphics processing unit (GPU) designed to perform geometry and lighting calculations at blistering speeds. State of the art GPUs can perform 0.5 teraFLOPS with their hundred cores. The tremendous computational power of GPUs was untapped by scientific computations because it could only be accessed with difficulty until now. As reported in the Journal of Computational Chemistry, recent advances allowing GPUs to be used for general purpose computing have boosted the performance of a number of molecular modeling applications, including NAMD simulations and VMD electrostatic potential calculations. The accelerated versions of these applications run five to one hundred times faster than on the best CPU-based hardware, allowing a single desktop computer equipped with a GPU to provide processing power equivalent to an entire, large computing cluster. More information on GPU acceleration of molecular modeling applications is provided here.