Core Viewpoint - The recent release of the Torch-MUSA v2.7.0 deep learning framework by Moole Thread marks a significant advancement in the company's MUSA ecosystem, showcasing its commitment to rapid iteration and performance optimization in GPU computing [1][4]. Group 1: Product Development - Moole Thread has successfully updated the Torch-MUSA framework twice within a month, indicating strong investment and development capabilities in the MUSA ecosystem [4]. - The new version, v2.7.0, includes over 1,050 operators and features enhancements such as Dynamic Double Cast and Distributed Checkpoint, improving performance and stability for large model training and inference [5][9]. - The MUSA architecture integrates GPU hardware and software into a unified system, enhancing the efficiency of complex computational tasks and optimizing memory usage with support for Unified Memory [9][12]. Group 2: Market Position and Strategy - Moole Thread's MUSA architecture is positioned to potentially replace the dominant GPU ecosystem led by NVIDIA and CUDA, providing a comprehensive software stack for developers [15]. - The company is rapidly advancing its business development alongside its IPO process, which has seen a swift approval timeline of 88 days, with an expected fundraising total of 8 billion yuan [16]. - A strategic partnership with the National Information Center aims to foster collaboration in the field of computing power, contributing to the development of a national integrated computing network [18].

Core Viewpoint - The company, Moole Technology, is set to launch on the STAR Market and has recently announced significant updates to its Torch-MUSA deep learning framework, showcasing its commitment to rapid development and ecosystem enhancement [1][4]. Group 1: Product Development - Moole Technology has released the Torch-MUSA v2.7.0, which includes over 1,050 operators, enhancing performance and stability for large model training and inference [5][6]. - The new version introduces features such as Dynamic Double Cast and Distributed Checkpoint, further optimizing the system's capabilities [6]. - The company has integrated additional computational acceleration libraries like muSolver and muFFT, significantly improving the efficiency of complex computational tasks [10]. Group 2: Strategic Positioning - The MUSA architecture, developed by Moole Technology, represents a comprehensive GPU computing acceleration system that integrates hardware and software, aiming to replace the dominant NVIDIA and CUDA ecosystems [12][15]. - The company has built a complete software stack for developers, including MUSA SDK and Torch-MUSA, to maximize the performance of its GPUs across various applications [15]. - Moole Technology's IPO process was notably swift, taking only 88 days from acceptance to approval, with an expected fundraising total of 8 billion yuan [17]. Group 3: Strategic Partnerships - Moole Technology has entered into a strategic cooperation agreement with the National Information Center to advance research and development in computing power and contribute to the national integrated computing network [18][20].