Apple's MLX machine learning framework, initially tailored for Apple Silicon, is expanding its capabilities with a CUDA backend. This update enables developers to execute MLX models directly on NVIDIA GPUs. This development broadens the accessibility of MLX, allowing developers to leverage the power of NVIDIA's hardware for machine learning tasks. The move signifies Apple's commitment to supporting a wider range of hardware and fostering a more inclusive machine learning ecosystem. It could accelerate the development and deployment of ML models across various platforms.