Core Viewpoint - The mHC architecture is expected to introduce a new paradigm in AI chip design by combining manifold constraints with engineering optimization, addressing the mismatch between computing power and bandwidth [1] Group 1: mHC Architecture - The mHC architecture promotes the logic of "software actively adapting to hardware bottlenecks," driving the industry towards a "efficiency-first" approach in hardware-software collaboration [1] - Through optimizations like kernel fusion and selective recomputation, mHC significantly reduces bandwidth requirements, allowing chip design to move away from solely pursuing high-bandwidth HBM memory [1] - The manifold constraint logic of mHC may foster innovation in dedicated computing units for chips, breaking the current monopoly of "general computing units" in AI chips and advancing towards a "general + dedicated" heterogeneous architecture [1] Group 2: Performance and Market Impact - The mHC architecture, as released by DeepSeek, demonstrates stable performance and high scalability in large-scale model training, indicating a potential direction for the next generation of infrastructure [1] - The framework is expected to reignite academic interest in macro-architecture design and deepen the understanding of how topological structures influence optimization and representation learning, potentially breaking current limitations [1] Group 3: ETF and Market Representation - The Guotai AI ETF (159388) tracks the ChiNext AI Index (970070), which has a daily price fluctuation limit of 20% [1] - This index selects listed companies involved in AI technology and related applications from the ChiNext market, covering various segments from hardware manufacturing to software development, reflecting the overall performance of AI-related listed companies in the ChiNext market [1]
20cm速递|创业板人工智能ETF国泰(159388)盘中走强,mHC架构或重塑AI芯片设计逻辑