深度拆解沐曦MXMACA软件栈功能，算力自主+生态兼容，破解国产GPU落地难题

Core Viewpoint - The article discusses the significant technological release of MXMACA software stack version 3.3.0.X by the newly listed domestic GPU company, Muxi Co., which aims to enhance the usability of domestic GPUs in various applications [1][2][4]. Group 1: Software Stack and Compatibility - The MACA software stack is defined as a core computing platform that includes a complete set of self-developed tools, covering compilers, performance analysis tools, and format conversion components, enabling multi-language support and automatic optimization [6][9]. - MACA serves as a critical link between Muxi's self-developed GPU hardware and upper-layer application ecosystems, addressing the compatibility issues faced by domestic GPUs in the AI development landscape [7][9]. - The new version of MACA focuses on deep adaptation to various scenarios, achieving a high success rate of 92.94% in adapting existing CUDA projects, with 4,173 out of 4,490 projects able to run directly on the Muxi platform [10][12]. Group 2: AI Framework Compatibility - MACA 3.3.0.X has achieved deep compatibility with PyTorch 2.8, covering all 2,650 core operators, and supports other mainstream frameworks like TensorFlow, PaddlePaddle, and JAX [15][16]. - The software stack is designed to ensure seamless usage of existing models without requiring adjustments to project build logic, thus enhancing the platform's usability for developers [16][18]. Group 3: Performance Optimization and Integration - MACA includes a complete toolchain for performance analysis and optimization, enabling developers to identify computational bottlenecks and ensuring a full workflow from development to deployment on the Muxi platform [24][25]. - The software stack is designed to support high-performance computing, with optimizations for distributed training and inference, achieving over 95% linearity in training and improving GPU utilization by 15%-30% [30][31]. Group 4: Strategic Positioning and Ecosystem Development - The launch of MACA 3.3.0.X represents a long-term strategy for Muxi to redefine the ecosystem through software-defined computing, ensuring compatibility with existing CUDA projects while maintaining a self-developed instruction set for security and performance [37][38]. - Muxi's approach aims to lower the migration costs for AI developers, facilitating their transition to the domestic computing ecosystem while maximizing commercial efficiency [39][40].