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Exxact Corporation performs benchmarking of multiple High Performance Computing (HPC) software applications in efforts to characterize how specific apps will perform on their systems. More specifically, when their systems include multiple NVIDIA Tesla Graphics Processing Units (GPUs). Recently, Exxact engineers have been characterizing the performance of life-science applications such as RELION, GROMACS, NAMD and Amber, all of which are molecular dynamic simulation applications that model biochemical processes for life science research. These applications run best when leveraging NVIDIA’s CUDA-enabled GPUs. In most cases, application processing gets divided across multiple NVIDIA Tesla GPUs in a single system. The test system originally had a single Samsung solid state drive (SSD), but test results showed scaling from one to two and from four to eight GPUs was nowhere near linear. Furthermore, performance with four or eight GPUs was nowhere near the expected performance of single-GPU performance. In particular, gains achieved when scaling from four to eight GPUs were incremental at best.