Core Viewpoint - Moore Threads has successfully completed the full-process adaptation and verification of the new generation large model GLM-5 on its flagship AI training and inference GPU MTT S5000, which is designed for large model training, inference, and high-performance computing [1] Group 1 - The MTT S5000 is a fully functional AI computing card based on the fourth-generation MUSA architecture "Pinghu" [1] - The MTT S5000 offers a maximum AI computing power of 1000 TFLOPS per card [1]

Core Insights - The article highlights the official release of the new generation large model GLM-5 by Zhiyuan on February 11 [1] - It emphasizes the full-process adaptation and verification achieved by Moole Thread on the AI training and inference integrated GPU MTT S5000 using the SGLang inference framework [1] Group 1 - Moole Thread utilizes the MUSA architecture to enhance system throughput while ensuring precision through hardware-native FP8 acceleration capabilities and the ACE asynchronous communication engine [1]

Core Viewpoint - The release of the new generation large model GLM-5 by Zhiyu marks a significant advancement in AI capabilities, showcasing the effective integration of the MTT S5000 GPU with the SGLang inference framework for high-performance model inference [1] Group 1 - Zhiyu officially launched the GLM-5 model on February 11, demonstrating its capabilities in AI [1] - The MTT S5000 GPU achieved full-process adaptation and verification on Day-0, indicating rapid deployment capabilities [1] - The MUSA architecture provides extensive operator coverage and strong ecosystem compatibility, facilitating the complete model inference pipeline [1] Group 2 - The MTT S5000 GPU significantly reduces memory usage while ensuring model accuracy through its native FP8 acceleration capabilities [1] - The quick adaptation of the MTT S5000 not only validates the maturity of the MUSA software stack but also highlights the support capabilities of domestic full-function GPUs for the latest large models [1]

Group 1 - The core viewpoint of the news highlights the strategic partnership between Xiaoma Zhixing and the domestic GPU company Moore Threads, aimed at enhancing L4 autonomous driving technology through the application of domestic AI computing power [1] - Xiaoma Zhixing's stock price has shown an upward trend, with a 9.42% increase over the past week, reaching a peak of 119.60 HKD on February 11, 2026, following the announcement of the strategic cooperation [2] - The company anticipates a significant reduction in annual losses for 2025, projecting a loss of 69 million to 86 million USD, a decrease of 68.7% to 74.9% compared to the previous year, primarily due to increased fair value gains from investments [3] Group 2 - Zhongyou Securities reported that Xiaoma Zhixing is a leader in smart driving, with its Robotaxi commercialization path showing initial validation, supported by a light-asset model and cost optimization [4] - The report forecasts revenues for Xiaoma Zhixing to be 81.92 million, 122 million, and 236 million USD for the years 2025 to 2027, although net profits are expected to remain negative during this period [4]

Core Insights - Moore Threads has officially open-sourced the TileLang-MUSA project, providing complete support for the TileLang programming language, aimed at lowering development barriers and enhancing AI and high-performance computing experiences on domestic computing platforms [2][4] Group 1: TileLang Overview - TileLang is a high-performance AI operator programming language based on tensor tiling abstraction, designed as a domain-specific language (DSL) with a declarative syntax similar to Python, allowing developers to describe computational intentions close to mathematical formulas [3] - The language significantly improves GPU computing development efficiency by abstracting complexities, enabling cross-platform capabilities, and automating complex tasks such as layout inference and memory optimization [3] Group 2: Practical Applications - The development of DeepSeek-V3 has utilized TileLang for rapid prototyping and performance validation, demonstrating its practical value in large-scale model training [4] - TileLang-MUSA serves as a bridge between advanced syntax and domestic computing, effectively unlocking the performance potential of full-featured GPUs [5] Group 3: Technical Features - TileLang-MUSA has been functionally validated on multiple generations of Moore Threads' full-featured GPUs, including the MTT S5000 and MTT S4000, showcasing good hardware compatibility [5] - The project has achieved over 80% unit test coverage for native TileLang operators based on the MUSA architecture, providing reliable assurance for large-scale applications [5] Group 4: Development Efficiency - Using TileLang-MUSA, the code volume has been reduced by approximately 90% compared to C++ code, resulting in clearer logic and significantly lower development and maintenance costs [6] Group 5: Future Outlook - The open-sourcing of TileLang-MUSA is a crucial step for Moore Threads in building a domestic computing ecosystem, with plans to create a unified acceleration platform covering everything from single operators to complete large models [7] - Future initiatives include performance optimization, integration with mainstream AI frameworks, and the development of debugging and performance analysis tools to support developers throughout the process [7]

Core Insights - Pony.ai (PONY.US) shares rose over 4%, closing at $14.97, following the announcement of a strategic partnership with Moore Threads on February 6 [1] Company Developments - The collaboration will focus on the implementation and scaling of Level 4 autonomous driving technology, emphasizing deep cooperation on Pony.ai's core technologies, including world models and virtual driver system training and optimization [1] - This partnership represents a significant demonstration of collaborative innovation within China's artificial intelligence sector, marking Pony.ai's first large-scale application of domestic AI computing power in critical training and simulation processes [1] Industry Impact - The agreement signifies the entry of Moore Threads' domestically produced full-function GPU into the core field of autonomous driving, enhancing the safety and reliability of AI computing power for the iteration and commercial deployment of autonomous driving technologies [1]

Core Viewpoint - Pony.ai (PONY.US) shares rose over 4% to $14.97 following the announcement of a strategic partnership with Moore Threads focused on L4 autonomous driving technology and its large-scale application [1] Group 1: Strategic Partnership - The collaboration between Pony.ai and Moore Threads aims to enhance the training and optimization of Pony.ai's core technologies, including world models and virtual driver systems [1] - This partnership represents a significant example of collaborative innovation within China's artificial intelligence sector [1] Group 2: Technological Advancements - Pony.ai will be the first to apply domestic AI computing power on a large scale in critical training and simulation processes for autonomous driving [1] - The partnership marks the entry of Moore Threads' fully functional domestic GPU into the core field of autonomous driving [1]

Core Insights - Pony.ai (PONY.US) shares rose over 4% to $14.97 following the announcement of a strategic partnership with Moore Threads on February 6 [1] - The collaboration will focus on the implementation and scaling of Level 4 autonomous driving technology, emphasizing deep cooperation on Pony.ai's core technologies, including world models and virtual driver system training and optimization [1] - This partnership represents a significant demonstration of collaborative innovation within China's artificial intelligence sector, marking the first large-scale application of domestic AI computing power in critical training and simulation processes for Pony.ai [1] - The agreement also signifies the entry of Moore Threads' domestically produced full-function GPU into the core field of autonomous driving [1]

Core Viewpoint - Moore Threads has launched the AI Coding Plan, marking a significant evolution in the integration of domestic chips and large models in AI programming, aiming to overcome the software ecosystem barrier that has limited the penetration of domestic computing power [1][2]. Group 1: AI Coding Plan Overview - The AI Coding Plan is the world's first intelligent development solution built on a fully functional domestic GPU computing base, representing a "soft and hard integration, fully domestic" AI-assisted programming engine [2]. - The service leverages the MTT S5000 chip's full precision computing power, achieving a significant increase in computing efficiency through a collaborative architecture [2]. - It incorporates the top-tier code model, GLM-4.7, which outperforms peers in various coding scenarios, including function completion and vulnerability detection [2][3]. Group 2: Ecosystem and Market Impact - The AI Coding Plan allows seamless integration with mainstream programming tools, enabling developers to switch environments without changing their habits, thus creating a secure closed loop of self-controlled technology [3]. - The service aims to lower the learning curve and switching costs associated with domestic architectures, breaking existing bottlenecks in AI core productivity tools [4]. - The introduction of AI Coding Plan is expected to catalyze the explosion of domestic AI applications, providing a competitive edge for Chinese enterprises in the AI application layer [6]. Group 3: Business Model Transformation - The launch of AI Coding Plan signifies Moore Threads' transformation from a "chip hardware vendor" to a "soft and hard integrated ecosystem platform provider" [7]. - The service acts as an accelerator for hardware sales by stimulating development demand, which in turn boosts the market for underlying computing power chips [7][8]. - The subscription-based revenue model of the AI Coding Plan offers lower dependency on external factors, leading to higher profit margins and more stable cash flow compared to traditional hardware sales [8]. Group 4: Long-term Valuation Implications - The shift in identity may prompt the capital market to reassess Moore Threads' long-term value, as software companies typically enjoy broader revenue boundaries and more stable cash flows compared to hardware firms [9]. - The enhancement of software service capabilities is expected to elevate the company's growth ceiling and long-term valuation, potentially leading to a premium valuation associated with its role as an ecosystem platform provider [9].

Core Viewpoint - Pony.ai's stock opened over 7% higher and is currently up 7.33%, trading at HKD 111.30 with a transaction volume of HKD 20.7 million [1] Group 1: Strategic Partnership - Pony.ai and Moore Threads (688795.SH) announced a strategic partnership focused on the implementation and scaling of L4 autonomous driving technology [1] - The collaboration will leverage Pony.ai's core technology, including world models and virtual driver systems, to enhance training and optimization [1] - This partnership represents a significant example of collaborative innovation within China's AI industry, marking the first large-scale application of domestic AI computing power in critical training and simulation processes [1] Group 2: Technological Development - The partnership will utilize Moore Threads' MTT S5000 training and inference integrated computing card and the Quasar computing cluster to advance the training adaptation and validation of Pony.ai's world model and vehicle models [1] - The joint effort aims to build an autonomous driving computing power ecosystem, achieving full-link collaboration across "algorithm-data-computing power-application" [1] - This initiative is expected to accelerate the maturity and cost optimization of L4 autonomous driving technology, providing robust support for the high-quality development of smart mobility and logistics industries [1]