ZLUDA is a drop-in replacement for CUDA that enables unmodified CUDA applications to run on non-NVIDIA GPUs with near-native performance, providing an alternative to NVIDIA's proprietary GPU computing platform.
A Windows project enables CUDA-targeted applications to run on AMD GPUs using ZLUDA and ROCm/HIP compatibility layers. The stack has been validated on AMD Radeon RX 9060 XT and successfully runs LibTorch workloads including neural-network inference and reinforcement-learning training, though compatibility depends on which CUDA APIs and libraries each application uses.