量子位·2025-07-17 05:52Core Viewpoint - Apple has decided to embrace NVIDIA's CUDA ecosystem by adding CUDA support to its MLX framework, marking a significant strategic shift for the company in the AI space [1][6][14]. Group 1: Apple's Strategic Shift - Apple has historically been known for its closed ecosystem, but the dominance of NVIDIA's CUDA in AI development has forced the company to adapt [2][14]. - By integrating CUDA support, Apple allows developers to train models using NVIDIA GPUs on Windows/Linux and then deploy them on Apple devices [5][8]. - This move is seen as one of Apple's most significant strategic decisions in the past decade, as it seeks to enhance its presence in the AI market [15][6]. Group 2: Background and Context - The introduction of the MLX framework in December 2023 was aimed at leveraging Apple's custom chip capabilities for AI, but its impact has been limited compared to NVIDIA's established ecosystem [10][12]. - NVIDIA's CUDA has become the industry standard since its launch in 2006, with over 5 million developers and thousands of companies building products on this platform [25][26]. - Apple's previous conflicts with NVIDIA, particularly the cessation of support for NVIDIA GPUs in macOS since 2018, highlight the historical tension between the two companies [19][20][24]. Group 3: Technical and Compliance Considerations - The decision to support CUDA is driven by the need for unified memory support and cross-platform deployment capabilities, which enhance development efficiency [8][7]. - Legal considerations also play a role, as CUDA programs are restricted to run only on NVIDIA hardware, making compliance a factor in Apple's decision [30][32]. - The integration of MLX with CUDA allows Apple to leverage NVIDIA's robust ecosystem while expanding its influence in the AI sector [34][6].