Speedstu/CUDA-for-AMD-Windows

[](https://github.com/Speedstu/CUDA-for-AMD-Windows) [](https://github.com/Speedstu/CUDA-for-AMD-Windows) [](https://github.com/Speedstu/CUDA-for-AMD-Windows/actions/workflows/verify.yml) [](LICENSE) A reproducible Windows CUDA compatibility stack for AMD GPUs, built around ZLUDA + AMD ROCm/HIP. Run CUDA-targeted Windows applications on AMD hardware, verify that work really reaches the GPU, and distinguish a correct result from a crash, timeout, CPU fallback, or silently wrong tensor. Install a current AMD GPU driver and the AMD HIP SDK for Windows with HIP Libraries. The required HIP version depends on the GPU architecture. The project checks the architecture-specific floor recorded in manifests/windows-gpu-profiles.json. The installer detects the GPU, verifies the HIP environment, downloads pinned assets, stages the runtime, runs a runtime smoke test, and performs numerical checks when a compatible Python/PyTorch environment is available. The original low-level setup path is intentionally kept compatible for existing users and old posts: See scripts/README.md for the stable user-facing commands and maintainer tooling. Launch CUDA-facing PyTorch through scripts/run-zluda.ps1. On both ZLUDA v6 stable and v7…