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GitHub - Speedstu/CUDA-for-AMD-Windows: Run CUDA-targeted Windows applications on AMD GPUs with ZLUDA + ROCm/HIP.

Hacker News·about 1 month ago
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WORKING REPRODUCIBLE STACK IS NOW UPLOADED.

Run CUDA-targeted Windows applications on AMD GPUs through ZLUDA + ROCm/HIP.

A reproducible Windows CUDA compatibility setup built around ZLUDA + AMD HIP/ROCm . It is intended for CUDA-facing compute applications, including workloads that use CUDA-enabled LibTorch.

Important

Validated hardware is currently AMD Radeon RX 9060 XT ( gfx1200 ) only. Other AMD GPUs are candidates, not guaranteed working devices. If you test another card, please open a GPU compatibility report , whether it works or fails.

Verified today

The public, upstream-only path has been tested without any private/recovered DLLs:

ZLUDA v6-preview.69 from the official ZLUDA release

AMD HIP SDK 6.4

LibTorch 2.3.0 + cu118

RX 9060 XT / gfx1200

nvcuda , cuBLAS, cuBLASLt, cuSPARSE and cuFFT all pass cuda_check

a real 2,216,347-parameter PPO network completed forward/inference, PPO learning and optimizer work on the CUDA-facing device

one clean validation iteration completed 65,536 timesteps…

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