This paper presents the implementation of an induction machine dynamic simulation on a field-programmable gate array (FPGA) board. Using FPGAs as computational engines can lead to significant simulation speed gains when compared to a typical PC computer, especially when operations can be efficiently parallelized on the board. The textbook example of a free acceleration followed by a step load change is used to outline the basic steps of designing an explicit Runge–Kutta numerical ordinary differential equation (ODE) solver on the FPGA platform. The FPGA simulation results and speed improvement are validated versus a Matlab/Simulink simulation.