Choose GPU-Friendly Libraries
Utilize ML libraries and frameworks that are optimized for GPU acceleration. Popular choices include TensorFlow, PyTorch, and scikit-learn. These libraries have GPU support built-in, making it easy to transition your code to GPU execution.