architectures is essential for accelerating computationally expensive calculations such as the temporal evolution of systems in 3D. A high-performance LB code, developed within the CUDA-MPI programming environment, was employed, enabling effective parallel processing across multiple hybrid CPU/GPU nodes . Owing to the explicit nature of the method and the localized scope of the computations, GPUs can exploit fine-grained multithread parallelization, optimally utilizing their compute capabilities.