Core Viewpoint - The article discusses the rising trend of using Intel's Arc graphics cards in large model all-in-one machines, highlighting their cost-effectiveness compared to traditional NVIDIA cards, making them suitable for small to medium-sized teams [2][8][12]. Group 1: Performance Comparison - A comparison test conducted by Feizhi Cloud showed that an all-in-one machine equipped with four Intel Arc A770 graphics cards took approximately 50 minutes to complete a large task, while a machine with NVIDIA cards took about 30 minutes [6]. - The cost of four Intel Arc graphics cards is significantly lower than that of a single NVIDIA card, making the Intel option more appealing in terms of price-performance ratio [7][8]. Group 2: Market Adoption - The article notes that many companies are increasingly adopting Intel's combination of Arc graphics cards and Xeon W processors for their all-in-one systems, indicating a shift in the industry towards this more affordable solution [23][33]. - Companies like Chaoyun and Yunjian are developing various devices based on Intel's platform, including workstations and high-end all-in-one machines capable of running large models [28][32]. Group 3: Advantages of All-in-One Machines - All-in-one machines offer quick deployment and ease of use, allowing businesses to integrate large models into their operations without complex setup [36]. - The low startup costs associated with all-in-one machines enable companies to run large models initially and iterate over time, reducing financial risk [37]. - These machines simplify operations and maintenance by integrating hardware and software into a unified system, thus lowering management complexity and costs [40]. Group 4: Reliability and Flexibility - The all-in-one systems are designed for stability and reliability, ensuring consistent performance in complex environments, which is crucial for AI applications [41]. - Intel's GPU and CPU combination is adaptable to various applications, supporting a range of open-source models and providing diverse functionality for different business needs [43][44]. Group 5: Industry Impact - The article suggests that the trend of integrating AI models into various industries is akin to the evolution from mainframe computers to personal computers, with Intel aiming to replicate its past success in the AI domain [45][46].