集齐了「鸿蒙」和「DeepSeek」两颗「龙珠」，深思考给出端侧AI「深度思考」

Core Viewpoint - The integration of AI edge models and hardware modules is set to drive a significant explosion in smart terminal applications, particularly with the introduction of DeepSeek-R1 and its adaptations for various edge scenarios [1][4][5]. Summary by Sections AI Edge Market Potential - The global AI edge market is projected to reach $143.6 billion by 2032, driven by applications in sectors such as medical devices, personal storage, and smart home technologies [6]. DeepSeek and Domestic Innovations - The integration of DeepSeek-R1 with WeChat marks a significant innovation in the domestic mobile internet landscape, showcasing the potential of large models in practical applications [4][5]. Technical Innovations by iDeepWise.ai - iDeepWise.ai has developed the Dongni-AMDC algorithm, which compresses the DeepSeek R1 model for edge deployment, ensuring low power consumption and high performance [8][11]. - The company has introduced the TinyDongni model, specifically designed for edge scenarios, with parameter sizes of 1.5B, 0.4B, and 0.15B, ensuring rapid response times and data security [19][21]. Collaboration with Domestic Hardware - iDeepWise.ai has partnered with leading domestic module manufacturers to create a comprehensive edge AI solution that integrates with various operating systems, including OpenHarmony and Linux [30][32]. - The collaboration with hardware manufacturers has reduced the development cycle for AI smart hardware by 50%, facilitating faster deployment in sectors like automotive and robotics [32]. Performance Metrics - The DeepSeek 1B model deployed on the Rockchip RK3588 achieves a processing speed of 10.2 tokens per second, while the TinyDongni model reaches 13.6 tokens per second, demonstrating significant advancements in edge AI performance [34][35]. Real-World Applications - iDeepWise.ai's edge models have been successfully implemented in various applications, including AI PCs for local multimodal searches and AI microscopes for medical diagnostics, showcasing their versatility and effectiveness [40][46]. - The company has a strong focus on the healthcare sector, having developed AI solutions that have processed over 30 million cervical cancer screenings, leveraging extensive medical literature for training [47][48]. Future Outlook - The company anticipates a surge in AI-enabled smart terminal applications, positioning itself to meet the growing market demand for localized AI solutions that prioritize user privacy and data security [49].