Speedstu/CUDA-for-AMD-Windows
Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.
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From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
[](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…
Read the full README ↗ · Preview checked 2026-10-31T22:46:31.603Z
Inside the original README — Document outline
- CUDA for AMD on Windows
- Quick start
- 1. Install AMD prerequisites
- 2. Clone and install
- 3. Run a CUDA-targeted application
- 4. Validate the runtime
- PyTorch attention safety (stable and latest)
- Release quality and regression protection
- Current compatibility
- What has been validated?
- Stable public reference path
- Experimental v7 path
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What this repository does
Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.
Repository facts
- Owner
- Speedstu
- Primary language
- PowerShell
- Stars
- 273
- Forks
- 26
- Open issues + pull requests
- 2
- License
- Other
- Archived
- No
- Default branch
- main
- Created
- 2026-09-13T13:23:31.000Z
- Last push
- 2026-09-19T23:51:30.000Z
Topics and intended use
Owner-supplied topics: amd, amd-gpu, compatibility-layer, cuda, cuda-on-amd, gpgpu, gpu-computing, hip, llama-cpp, pytorch, rocm, windows, zluda
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Source and freshness
Source: GitHub. Metadata observed 2026-09-20T06:40:45.138Z. Daily imports are snapshots, not real-time monitoring.
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