Open-source package lets AMD GPUs run some CUDA workloads, with validation limited to one card
Developer Speedstu published CUDA-for-AMD-Windows on GitHub on Sept. 13, packaging ZLUDA and AMD’s Windows HIP SDK into a PowerShell-based installer aimed at running CUDA software built for NVIDIA GPUs on AMD Radeon hardware. The setup has only been validated on the AMD Radeon RX 9060 XT using ZLUDA v6-preview.69, HIP SDK 6.4, and LibTorch 2.3.0+cu118. In that environment, five CUDA-related components passed checks: nvcuda, cuBLAS, cuBLASLt, cuSPARSE, and cuFFT. The project documentation says a PPO reinforcement learning model with 2,216,347 parameters completed inference, learning updates, optimizer operations, and one run covering 65,536 timesteps. Benchmark notes from Sept. 13 show the official ZLUDA path reached a median 13,278 steps per second, compared with 12,876 for an earlier modified component set, a 3.03% gap. The project also spells out its limits. It does not offer full CUDA support, cuDNN-dependent programs may fail because the stable Windows HIP SDK lacks MIOpen, and NCCL, TensorRT, and some custom CUDA extensions may also break. NVIDIA’s CUDA license terms still include translation-related restrictions, and ZLUDA itself no longer has commercial funding, according to developer Andrzej Janik. So far, no public compatibility reports have been posted for cards beyond the RX 9060 XT.




