华为版CUDA，全面开源了

Core Viewpoint - Huawei has announced the open-source of its Ascend AI GPU software toolkit, CANN, aiming to enhance its competitiveness against NVIDIA's CUDA ecosystem [1][3][7]. Group 1: Huawei's AI Strategy - Huawei's rotating chairman, Xu Zhijun, emphasized that the core of Huawei's AI strategy is computing power, with a focus on monetizing Ascend hardware [3]. - The open-sourcing of CANN and the Mind series application enablement suite is intended to accelerate innovation among developers, making Ascend easier to use [3][12]. Group 2: CANN Overview - CANN, a neural network computing architecture, provides multiple programming interfaces to help users build AI applications for Huawei's Ascend [4]. - CANN is described as Huawei's version of CUDA, offering a similar interface for GPU support [5]. - The latest version of CANN has been upgraded to 8.0, with both community and commercial versions available, supporting 12 operating systems [7]. Group 3: Competitive Landscape - The announcement coincided with the emergence of a new startup, Oxmiq Labs, founded by a legendary GPU architect, which aims to create a software ecosystem similar to CUDA [6][13]. - Oxmiq Labs focuses on developing GPU hardware and software IP, providing a vertically integrated platform for AI and graphics workloads [20][22]. - The software stack from Oxmiq is designed to be hardware-agnostic, allowing CUDA-based applications to run on non-NVIDIA hardware without modification [29][31]. Group 4: Developer Support - CANN currently supports various deep learning frameworks, including PyTorch, MindSpore, TensorFlow, and others, enhancing its utility for developers [15]. - The open-source initiative is expected to benefit developers by providing more options and reducing dependency on NVIDIA's ecosystem [32].