Core Insights - The RISC-V ecosystem is experiencing explosive growth, with emerging companies like Zhihe Computing playing a significant role in advancing RISC-V architecture in high-performance computing and AI fields [1][2]. Company Overview - Zhihe Computing focuses on developing high-performance, scalable AI computing CPUs based on RISC-V architecture, aiming to create innovative and efficient computing foundations for a wide range of applications, including general artificial intelligence [1][3]. - Since its establishment in October 2022, Zhihe Computing has built a core team with experience in both proprietary and open-source instruction sets, and has joined the Jiachen Plan to develop benchmark products for RISC-V architecture [2][7]. Product Development - Zhihe Computing has introduced the "Archimedes" series of products, which feature a high-performance RISC-V CPU core designed to efficiently integrate general computing with AI-enhanced computing [3][4]. - The Archimedes series includes the A210 chip, an 8-core CPU with 12 TOPS (INT8) AI inference capability, optimized for edge server scenarios, balancing computing power, bandwidth demand, and memory capacity [4][5]. Team Strength - The core team of Zhihe Computing consists of industry veterans and academic authorities, with members from leading companies such as Alibaba, Intel, AMD, and MediaTek, covering key areas like chip design and AI algorithms [7]. - The company has completed multiple rounds of financing, raising several hundred million RMB from notable investors, which supports its growth and development in the RISC-V ecosystem [7]. Market Position and Future Outlook - Zhihe Computing aims to achieve breakthroughs in the high-end server market by 2026, positioning itself as a leader in global RISC-V high-performance computing despite challenges such as ecosystem fragmentation and international competition [7].

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].