Core Insights - Apple's MLX framework has added support for CUDA, enhancing its capabilities for developers in the machine learning and graphics processing sectors [1] Group 1: Company Impact - The integration of CUDA support into Apple's MLX framework is expected to attract more developers, particularly those focused on high-performance computing and machine learning applications [1] - This move positions Apple to compete more effectively with other platforms that already support CUDA, potentially increasing its market share in the developer community [1] Group 2: Industry Implications - The addition of CUDA support may lead to increased collaboration between Apple and NVIDIA, as CUDA is a parallel computing platform and application programming interface model created by NVIDIA [1] - This development could signal a shift in the competitive landscape of machine learning frameworks, as Apple enhances its offerings to meet the demands of developers [1]