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Core Viewpoint - Moore Threads has unveiled its new GPU architecture "Huagang" at the first MUSA Developer Conference, showcasing a comprehensive stack of technological achievements centered around its self-developed MUSA unified architecture [2][4]. Group 1: New GPU Architecture "Huagang" - The "Huagang" architecture features significant improvements in computing performance, with a 50% increase in computing density and optimized energy efficiency, supporting full precision calculations from FP4 to FP64 [4]. - It integrates a new asynchronous programming model and supports large-scale interconnection, enabling the expansion of computing clusters with over 100,000 cards through the self-developed MTLink high-speed interconnect technology [4]. - The architecture also includes an AI generative rendering framework and enhanced hardware ray tracing acceleration, fully supporting DirectX 12 Ultimate, facilitating a high degree of synergy between graphics rendering and intelligent computing [4]. Group 2: Future Chip Releases - Based on the "Huagang" architecture, Moore Threads announced two upcoming chips: "Huashan," which focuses on AI training and inference integration for large-scale intelligent computing, and "Lushan," which specializes in high-performance graphics rendering [5]. - The "Lushan" chip is expected to enhance AI computing performance by 64 times, geometric processing performance by 16 times, and ray tracing performance by 50 times, while significantly improving texture filling, atomic memory access, and video memory capacity [5]. Group 3: Launch of Kuaguo Computing Cluster - Moore Threads officially launched the Kuaguo computing cluster, which boasts full precision and general computing capabilities, achieving efficient and stable AI training and inference at a scale of ten thousand cards [7]. - The cluster's core breakthroughs include a floating-point computing capability of 10 Exa-Flops, with training utilization rates of 60% for Dense models and 40% for MOE models, and a linear scaling efficiency of 95% [7].