Stochastic programs inevitably get huge if they are to model real life problems accurately. Nowadays only massive parallel machines can solve them but at a cost few decision markers can afford. We report here on a deterministic equivalent linear programming model of 1,111,112 constraints and 2,555,556 variables generated by GAMS. It is solved by an interior point based decomposition method in less than 3 hours on a cluster of 10 Linux PC's