Core Insights - The company, Tensu 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] - The company introduced the "Tongyang" series of edge computing products, demonstrating superior performance compared to NVIDIA's AGX Orin, and showcased various industry applications and ecosystem development [2][13][15] Architecture Roadmap - The four-generation architecture roadmap includes: - 2025: Tensu Tian Shu architecture surpasses Hopper - 2026: Tensu Tian Xuan architecture matches Blackwell - 2026: Tensu Tian Ji architecture surpasses Blackwell - 2027: Tensu Tian Quan architecture surpasses Rubin, with a shift towards breakthrough chip designs thereafter [3][10] High-Quality Computing Power - High-quality computing power is defined by three core characteristics: - Efficiency: Optimized design to create the best Total Cost of Ownership (TCO) for clients - Predictability: Precise simulation allows clients to anticipate performance before deployment - Sustainability: Seamless adaptation from traditional to future algorithms, ensuring long-term value [5] AI++ Computing System - The AI++ computing system paradigm integrates both internal and external chip capabilities, establishing a software-driven model that leverages software intelligence to unlock hardware potential, supporting a thriving application ecosystem [8] Tongyang Series Products - The Tongyang series includes four products: - Tongyang TY1000: Compact module with industry-level computing power - Tongyang TY1100: Integrates ARM v9 12-core CPU and self-developed GPU - Tongyang TY1100_NX: High cost-performance option with larger memory - Tongyang TY1200: Offers 300 TOPs performance for advanced applications [13][15] Performance Metrics - The Tongyang series products demonstrate measured dense computing power ranging from 100T to 300T, outperforming NVIDIA's AGX Orin in various applications [15] - The Tian Shu architecture achieves over 90% effective utilization efficiency during AI-related computations, with a 60% efficiency improvement over the industry average [10] Industry Applications - The company has successfully implemented its products in various sectors, including internet, finance, healthcare, and research, showcasing the maturity and reliability of domestic computing power [17][19] - Specific applications include: - Doubling single-machine performance in AI internet applications - Reducing report generation time in finance by 70% - Streamlining medical record generation to 30 seconds per record [19][21] Ecosystem Development - Tensu Zhixin has signed strategic cooperation agreements with hardware manufacturers and solution providers to enhance the domestic AI computing ecosystem [23] - The company aims to create an open and win-win industrial ecosystem, facilitating higher performance and easier access to AI for various industries [23][25] 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 empower all scenarios [25] - The CEO expressed a commitment to self-research and open cooperation to foster a prosperous domestic computing ecosystem [25]
天数智芯重磅公布芯片四代架构路线图 彤央边端系列性能超越国际主流 首次公布标杆客户与规模化落地成果