Tensor networks are becoming progressively more important for classical simulations of quantum computing, as they provide an effective way to reduce the complexity of a typically exponential problem. Various tensor network libraries are available at small to medium scales, but there is a surprising lack of tools for large HPC simulations. As a result, I decided to develop my own library, with the goal to provide a universal approach to tensor distribution across multiple computational nodes. The project is still in development, but ultimately, I would like to come up with a way to scale up simulations to the maximum of current computing potential, which could be integrated into other existing tensor libraries.