定义高质量算力新范式！天数智芯重磅发布四代架构路线图与“彤央”边端产品，用硬核技术和商业增长重构产业生态

Core Insights - The company, TianShu ZhiXin, unveiled its fourth-generation architecture roadmap, aiming for "high-quality computing power" with a focus on efficiency, predictability, and sustainability, targeting to surpass NVIDIA's Rubin architecture by 2027 [2][3] Architecture Roadmap - The four-generation architecture roadmap includes: - TianShu TianShu architecture to surpass Hopper by 2025 - TianShu TianXuan architecture to match Blackwell by 2026 - TianShu TianJi architecture to exceed Blackwell by 2026 - TianShu TianQuan architecture to surpass Rubin by 2027, with a shift towards breakthrough chip designs thereafter [3] High-Quality Computing Power - The company defines "high-quality computing power" by three core characteristics: - High efficiency, optimizing design for the best Total Cost of Ownership (TCO) - Predictability, allowing performance forecasting through precise simulation - Sustainability, ensuring seamless adaptation from traditional to future algorithms [5] AI++ Computing System - The AI++ computing system paradigm integrates both internal and external chip capabilities, establishing a software-driven model that leverages foundational libraries and computational middle layers to enhance hardware potential and support a thriving application ecosystem [6] Product Launch: "Tongyang" Series - The "Tongyang" series of edge computing products was launched, completing the "cloud + edge + terminal" computing layout, with four distinct models designed for various applications, emphasizing portability and high performance [10][12] Performance Metrics - The "Tongyang" series products demonstrate measured dense computing power ranging from 100T to 300T, outperforming NVIDIA's AGX Orin in various applications, aiming to be the leading edge computing solution in China [12] Industry Applications - The company showcased successful applications of its products across multiple sectors, including internet, finance, healthcare, and research, validating the maturity and reliability of domestic computing power [14] Ecosystem Collaboration - The company has signed strategic cooperation agreements with hardware manufacturers and solution providers to enhance the domestic AI computing ecosystem, promoting a collaborative and open industry environment [21] Future Vision - The company emphasizes the need for both quantity and quality in AI computing power, advocating for efficient collaboration between software and hardware to enable comprehensive scene empowerment, and aims to continue its path of independent innovation and ecosystem building [23]