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Developer Bridges ZLUDA and ROCm to Run CUDA Workloads on AMD GPUs in Windows

An independent developer known as Speedstu built a PowerShell-based toolkit that combines ZLUDA with AMD's HIP/ROCm SDK, allowing CUDA-only applications to run on AMD GPUs in Windows without dual-booting or virtual machines. The setup successfully mapped CUDA's driver API and libraries like cuBLAS, cuSPARSE, and cuFFT to AMD equivalents, and was tested by training a small reinforcement-learning model on a Radeon RX 9060 XT using unmodified CUDA code.

ZLUDA project enables CUDA workloads to run on AMD GPUs via Windows

Developers behind the ZLUDA project have released a reproducible stack combining ZLUDA v6-preview.69 with AMD's HIP SDK 6.4, allowing CUDA-targeted Windows applications, including LibTorch-based machine learning workloads, to run on AMD hardware. The setup has been validated specifically on the Radeon RX 9060 XT (gfx1200), where core CUDA libraries like cuBLAS and cuFFT passed checks and a PPO reinforcement learning network completed training over 65,536 timesteps.