Exploratory Data Analysis, real-time visualization, interactive data mining, manually assisted projection pursuit, and related techniques are compelling and useful. Unfortunately, for large multivariate data - say, much more than 10^5 samples (records) with more than 5 variables per sample, the interactive graphics response of most statistical analysis programs stutters, stalls, or stops working altogether. However, the graphics processing units (GPUs) built in to all professional desktop and laptop computers currently on the market are capable of transforming, filtering, and rendering hundreds of millions of points per second. We present a prototype open-source cross-platform application which leverages some of the power latent in the GPU to enable smooth interactive exploration and analysis of large high-dimensional data using a variety of classical and recent techniques.