当前，RISC-V生态正处于爆炸式增长的初期阶段。国内RISC-V新锐企业不断兴起。其中有一家企业值 得关注——知合计算。凭借技术创新与生态布局，已成为推动 RISC-V 架构在高性能计算和 AI 领域落 地的重要力量。 知合计算致力于开发基于RISC-V架构的高性能可扩展AI智算CPU，依托自身生态优势，聚焦AI应用场 景的实际需求，以"应用定义产品"的方式，为包括通用人工智能在内的广泛应用场景打造创新、高效的 算力基础。 该CPU不仅内核兼容RISC-V官方规范，其SoC平台和上层软件栈也原生兼容RISC-V系统平台的总体规 范。在最新发布的RISC-V Server Platform Specification v0.8版本中，子项支持率达100%，Server SoC Specification v1.0的子项支持率为97%，且软件栈支持BRS的全部66个子项。 自2022年10月成立至今，知合计算已构建起一支同时拥有自主指令集和开源指令集成功产业经验的核心 团队。前不久，知合计算正式加入甲辰计划，致力于通过与合作伙伴共同研发RISC-V架构高性能计算 标杆产品，支持甲辰计划在下一个丙辰年（2036龙 ...

Core Viewpoint - The article discusses the evolution of chip architectures, highlighting the rise of RISC-V as a new engine for transformation in the global chip industry, particularly in the context of AI and IoT, due to its open-source, simplified, and cost-effective nature [1][2]. Group 1: RISC-V's Current Status and Challenges - Despite the growing interest in RISC-V for high-performance applications, there is a lack of benchmark products that can compete with ARM and x86 architectures [2][3]. - The first-tier RISC-V products, such as SiFive's P870-D and others, still lag behind mainstream ARM and x86 offerings in terms of performance [2][3]. - The absence of high-performance RISC-V chips may hinder the development of a robust software ecosystem, as developers are less inclined to invest in a less popular architecture [2][3]. Group 2: Key Developments and Innovations - Knowledge Computing has introduced the "Archimedes" series of CPUs, which aim to integrate general computing and AI inference capabilities efficiently [6][15]. - The new RISC-V CPU core is positioned among the top-tier high-performance CPUs, capable of matching the performance of leading ARM and x86 products [7][14]. - The CPU core supports a wide range of RISC-V extensions and is designed to provide a complete software stack, including tools and operating systems, to facilitate easier adoption [9][12]. Group 3: Market Strategy and Ecosystem Development - Knowledge Computing is focusing on specific application scenarios, such as edge servers and AI model inference, to drive the adoption of RISC-V and build a more robust ecosystem [21][22]. - The company aims to establish benchmark products that can attract more developers and partners to participate in the RISC-V ecosystem, thereby enhancing market confidence [28][26]. - The strategy emphasizes collaboration over competition among domestic manufacturers to strengthen RISC-V's position in the global market and enhance its standard-setting capabilities [34][35].