CUDA for AMD on Windows

This project shows a viable path to run some CUDA-targeted Windows applications on AMD GPUs using ZLUDA plus AMD HIP/ROCm, which could reduce dependence on NVIDIA-only hardware and expand procurement flexibility for AI and compute workloads. For IT organizations, the strategic value is lower vendor lock-in and potentially better cost leverage, but the practical impact is constrained by workload-specific compatibility, limited validation on a single GPU model, and gaps in CUDA library coverage such as cuDNN. CIOs should treat this as an emerging option for targeted workloads rather than a drop-in replacement for all CUDA applications.