Core Viewpoint - The article emphasizes the transformative impact of AI large models and AI agents on work and life, highlighting the need for efficient, secure, and cost-effective deployment of AI solutions in various industries [1][28]. Group 1: Event Overview - AMD, in collaboration with 36Kr, hosted the "AMD Mini AI Workstation Industry Solution Summit" on July 10 in Shenzhen, focusing on "large model edge deployment" [1]. - The summit showcased over 30 Mini AI workstations powered by the AMD Ryzen AI MAX+ 395 processor and featured more than 200 partners from the ecosystem [1][27]. Group 2: AMD's Strategic Positioning - AMD's executives articulated the company's commitment to the edge AI era, viewing it as a strategic opportunity for industry collaboration [2]. - The AMD Ryzen AI MAX+ 395 processor is designed with a tri-architecture of CPU, GPU, and NPU, featuring 16 cores and 32 threads, and a memory architecture that supports up to 96GB, enabling the deployment of large AI models [4][25]. Group 3: Industry Applications and Innovations - Various partners presented solutions leveraging AMD Mini AI workstations across different sectors, enhancing departmental efficiency and data security [6][10]. - The "Linglong Star Core" AI host by Shanghai Shijie Technology aims to provide a seamless AI experience for individual users, addressing high costs and data security concerns [8]. - ChatExcel's local deployment solution allows secure data analysis for sensitive departments, showcasing the potential of AMD-powered workstations in enhancing productivity [10]. Group 4: Ecosystem Development - AMD announced the "AMD Mini AI Workstation Empowering Industry Plan" to support partners in innovating and implementing solutions based on AMD hardware [17]. - The latest version of AMD's open-source AI software stack, ROCm 7, aims to provide developers with an efficient and open AI development environment [23]. Group 5: Future Outlook - The summit highlighted the rapid expansion of edge AI applications and the collaborative efforts required for industry transformation [17][28]. - AMD's strategy focuses on building a comprehensive edge AI ecosystem, integrating hardware, software, and application innovations to drive market value [27].