The proposed UTEP cyberinfrastructure will provide state-of-the-art GPU-enabled computing resources to promote and accelerate research and education in a number of important scientific simulation and machine learning application areas. The science drivers for the infrastructure include computational chemistry, computational physics, electric power grid simulation, bioinformatics, quantum computing simulation, computational fluid dynamics, and computational electromagnetics. Augmentation of simulation with machine learning is central to several of the application areas. The proposed equipment includes a high-end NVIDIA DGX-2 node with eight 80GB A100 GPUs and multiple nodes with four 40GB A100 GPUs each. For resource sharing required by NSF, UTEP will participate in the Open Science Grid (OSG) Consortium. Plans for the proposed cluster are being closely coordinated with UTEP Enterprise Computing concerning installation and operation of the cluster, including satisfying security requirements.