Core Viewpoint - The article discusses the emergence and significance of Reconfigurable Processing Units (RPU) as a key technology in the post-Moore's Law era, highlighting their potential in various fields such as artificial intelligence, edge computing, and data centers [2]. Global Perspective - The global development of reconfigurable chips is characterized by diverse technological paths, with significant advancements in applications across consumer electronics, aerospace, and data centers [4]. - Xilinx, a leader in the FPGA industry, introduced the Versal series adaptive computing acceleration platform in 2018, which integrates advanced reconfigurable computing IP, enhancing DSP processing capabilities and achieving low power consumption [4]. - Samsung integrates reconfigurable accelerators into its 8K TVs and Exynos SoCs, optimizing video decoding and AI image enhancement [5]. - Intel initiated a project in 2022 to integrate reconfigurable computing units into Xeon processors, resulting in a 40% reduction in power consumption per unit of computing power [5]. - PACT's dynamic reconfigurable processors have been applied in satellite and military communication systems, achieving high throughput and rapid reconfiguration times [6]. - SambaNova's RDU technology supports training models with up to 50 trillion parameters, outperforming NVIDIA's H100 in inference performance while significantly reducing total ownership costs [6]. Domestic Landscape - Qingwei Intelligent, a core representative of China's reconfigurable chip industry, has developed a comprehensive product matrix covering cloud, edge, and terminal scenarios since its establishment in 2018 [8]. - The TX8 series from Qingwei Intelligent achieves three times the energy efficiency of traditional GPU architectures, while the TX5 series excels in low-power image processing for applications like smart security [9]. - By 2024, Qingwei Intelligent's chip shipments are expected to exceed 20 million units, with deployments in various sectors including AI and energy [9]. Industry Trends and Challenges - Data flow-driven architecture is emerging as a mainstream trend, effectively overcoming storage limitations and enhancing computational efficiency in large-scale data processing [10]. - The industry is transitioning from a closed model dominated by single vendors to an open ecosystem, with companies like Samsung and Intel lowering development barriers and fostering collaboration [12]. - However, the fragmentation of reconfigurable compilation tools poses a significant challenge, hindering ecosystem development [12]. Application Expansion - Reconfigurable chips are rapidly penetrating fields such as smart security and industrial IoT, with significant energy efficiency improvements [13]. - SambaNova's reconfigurable chips deployed at Argonne National Laboratory provide superior performance and efficiency for large-scale data processing [13]. Summary and Outlook - Reconfigurable chips are reshaping the global computing landscape, with domestic companies establishing competitive advantages in niche markets [13]. - Future industry development should focus on creating unified programming standards, developing flexible and low-power architectures, and integrating reconfigurable technology with cutting-edge innovations [13].