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2025RISC-V中国峰会关键议题解读(2):NVIDIACUDA拥抱RISC-V:AI计算架构的三足鼎立与开放变革

Investment Rating - The report does not explicitly provide an investment rating for the industry or specific companies involved in the RISC-V architecture and NVIDIA's CUDA support. Core Insights - NVIDIA's announcement at the 2025 RISC-V China Summit signifies a strategic shift in the global AI computing landscape, evolving from a duopoly of x86 and ARM to a tripartite balance with RISC-V [1][2][27] - The integration of CUDA with RISC-V allows RISC-V processors to function as the main CPU in AI systems, marking a significant entry into the mainstream AI computing domain [1][26] - The move enables RISC-V to leverage NVIDIA's extensive software ecosystem, facilitating rapid development and innovation in AI applications [2][28] Summary by Sections Event Overview - At the RISC-V Summit China 2025, NVIDIA announced that its CUDA platform will support RISC-V architecture, allowing RISC-V processors to act as core application processors in AI systems [1][26] Strategic Implications - This development indicates a major transformation in the computing power structure, traditionally dominated by x86 and ARM, now including RISC-V as a key player [2][27] - NVIDIA's support for RISC-V is seen as a strategic move to decouple its GPU offerings from any single CPU architecture, ensuring its central role in a diversified computing future [4][31] Ecosystem Development - The report emphasizes that the greatest challenge for new computing architectures is building a robust software ecosystem, which NVIDIA's support for RISC-V aims to address by enabling access to its established CUDA ecosystem [3][28] - RISC-V's modular design allows for customized processors tailored to specific AI tasks, enhancing efficiency and cost-effectiveness compared to traditional CPUs [6][30] Geopolitical Context - The open and neutral nature of RISC-V is particularly relevant in the context of global technological competition, providing countries like China with a path to technological sovereignty [4][30] - NVIDIA's strategic intent is to facilitate local developers' access to mainstream AI software ecosystems while promoting the development of sovereign RISC-V chips [4][30]